UNIVERSITY OF CINCINNATI
Date:______
I, ______, hereby submit this work as part of the requirements for the degree of: in:
It is entitled:
This work and its defense approved by:
Chair: ______
A Study of the Pyrolysis of Tire Derived Fuels and an Analysis of Derived Chars and Oils
A dissertation submitted to the
Division of Research and Advanced Studies of the University of Cincinnati
in partial fulfillment of the requirements for the degree of
DOCTORATE OF PHILOSOPHY (PhD.)
in the Department of Civil and Environmental Engineering of the College of Engineering
2006
by Kessinee Unapumnuk
B.S. Rural Technology Thammasat University, Thailand, 1996
M.S. Environmental Management and Technology Asian Institute of Technology, Thailand, 1999
Committee Chair: Professor Timothy C. Keener, PhD., PE, QEP
ABSTRACT
In this research, the pyrolysis product distribution rates and pyrolysis behavior of tire derived fuels (TDF) were investigated using thermogravimetric (TGA) techniques. A
TGA was designed and built in order to investigate the behavior and products of pyrolysis of typical TDF specimens. Fundamental knowledge of thermogravimetric analysis and principal fuel analysis is applied in this study. Thermogravimetry of the degradation temperature of the TDF confirms the overall decomposition rate of the volatile products during the depolymerization reaction. The principal fuel analysis
(proximate and ultimate analysis) of the pyrolysis char products shows the correlation of volatilization into the gas and liquid phases and the existence of fixed carbon and other compounds that remain as a solid char. The kinetic parameters were calculated using least square with minimizing sum of error square technique. The results show that the average kinetic parameters of TDF are the activation energy, E = 1322 ± 244 kJ/mol, a pre-exponential constant of A= 2.06 ± 3.47 x 1010 min-1, and a reaction order n = 1.62 ±
0.31. The model-predicted rate equations agree with the experimental data. The overall
TDF weight conversion represents the carbon weight conversion in the sample.
Three commercially important pyrolysis by-products from vehicle tires are liquid oil, solid char, and exhaust gas. These products could be contaminated by volatile toxic compounds released from the tire structure before combustion. The release of volatile materials from the tire structure during pyrolysis offers the greatest potential for separation of these compounds from the evolved gases and vapors, as the concentrations of these species are at their greatest in the vapor phase during this period. The influences of heating rate and pyrolysis temperature were investigated. The temperature was studied from 325 to 1000 oC, a range where substantial devolatilization occurs. The results
showed that the heating rate and the pyrolysis temperature were the key factors in
determining the two pyrolysis yields: condensed oil and gas product. However, the overall desulfurization of the pyrolysis reaction was essentially unaffected by the heating rates.
Products from the pyrolysis of TDF were investigated with various analytical
techniques and under various maximum pyrolysis temperatures and heating rates. The
pyrolysis products are classified as char (solid product), pyrolytic oil (liquid) and gas.
Principle functional groups of the TDF and pyrolytic oil were confirmed by Fourier
Transform Infrared Spectrometer, coupled with attenuated total reflectance (FT-IR/ATR).
The components of the pyrolytic oil fraction were individually quantified using gas
chromatography coupled with mass spectrometry (GC-MS). The major products are one-
and two-ring methyl-substituted aromatic isomers. By-product formation mechanisms of
TDF pyrolysis were hypothesized based on the products identified. The mechanisms for
aromatic hydrocarbon formation were found to be associated with polymer degradation,
methyl displacement, and the Diels-Alder reactions. Our study indicated that GC-MS
coupled with FT-IR is sufficient to investigate the semi-volatile and volatile organic species from complex polymeric materials such as tires.
ACKNOWLEDGEMENT
I would like to thank the following people who helped to make this dissertation
possible:
My advisor, Dr. Tim C. Keener, for his valuable guidance, patience, constructive
challenges and encouragement throughout my study. My co-advisor, Dr. Mingming Lu,
for her effort to advice and criticize my work especially on the chromatography
laboratory analysis. My dissertation committee members, Dr. George Sorial and Dr.
Soon-Jai Khang, for their kindly advice on my research. I feel truly appreciated to have
had such distinguished mentors directing this academic process.
My special colleagues during doctoral study, Phirun, Jun, Fuyan, Jacob, Pamela, Sang-
Sup, Ricardo, Sook and Shuang for their encouragement and support energized my hopes
and which whom I shared so many experiences. I would like to thank all Thai friends:
Dr. Sumana, Dr. Supa, Phirun, Atchara, Wassana, Chaichana, and Sarawuth who have
made Cincinnati quite an enjoyable city for me during the past 4 years.
The Royal Thai Government for a scholarship that allowed me to pursue a degree in the
United States.
My loving family for their encouragement, support and numerous sacrifices. Especially,
my mother for her unconditional love, who cry and laugh with me everyday for years.
My two sisters, who have been taking good care of my mother while I concentrated on completing the degree. Lastly, I dedicate my work to my beloved passed away father without his loving spirit I would not have indeed come this far. His loving spirit were a continual source of inspiration to me. TABLE OF CONTENTS
TABLE OF CONTENTS...... I
LIST OF TABLES...... IV
LIST OF FIGURES ...... V
NOMENCLATURE ...... VII
1 Chapter 1 Introduction ...... 1
1.1 Background and Problem Statement...... 1 1.2 Research Objectives...... 4 1.3 Literature Review...... 5 1.3.1 Properties of Tires...... 6 1.3.2 Combustion of Tires ...... 9 1.3.3 Pyrolysis Mechanism of Tires...... 9 1.3.4 Formation of Polycyclic Aromatic Hydrocarbons...... 11 1.4 References...... 14
2 Chapter 2 Research Methodology...... 18
2.1 Properties of Tire Derived Fuel Materials ...... 18 2.2 Experimental Design...... 19 2.2.1 Reactor Design...... 19 2.2.2 Pyrolysis Product Distribution Experiment ...... 23 2.2.3 Proximate and Ultimate analysis ...... 23 2.2.4 Identification of Organic Compounds ...... 23 2.3 References...... 31
3 Chapter 3 Thermogravimetric Study and Pyrolysis Kinetic Mechanisms...... 34
3.1 Abstract...... 34
I 3.2 Introduction...... 35 3.3 Experimental Method...... 35 3.4 Results and Discussion...... 36 3.4.1 Preliminary Experiments to Establish the Reactor Design Criteria...... 36 3.4.2 Investigation of TDF Decomposition ...... 39 3.4.3 Pyrolysis Kinetic Interpretation of Experimental Data...... 43 3.4.4 Decomposition of TDF in Different Atmospheres ...... 50 3.5 Conclusion ...... 52 3.6 References...... 53
4 Chapter 4 The Recovery of Pyrolysis By-products and the Removal of Sulfur...... 55
4.1 Abstract...... 55 4.2 Introduction...... 56 4.3 Experimental Method...... 56 4.3.1 Determination of By-products Recovery...... 56 4.3.2 Determination of Sulfur and Carbon...... 57 4.4 Results and Discussion...... 59 4.4.1 Recovery of Pyrolysis By-Products...... 59 4.4.2 Char...... 61 4.4.3 Oil ...... 62 4.4.4 Gas ...... 65 4.4.5 Distribution of Carbon...... 66 4.4.6 Removal of Sulfur...... 69 4.5 Conclusion ...... 76 4.6 References...... 77
5 Chapter 5 Hydrocarbons Composition from the Pyrolysis Products...... 79
5.1 Abstract...... 79 5.2 Introduction...... 80 5.3 Experimental Method...... 80
II 5.4 Results and Discussion...... 82 5.4.1 Principal Functional Structures of TDF...... 82 5.4.2 Principal Functional Structures of Pyrolytic oil...... 83 5.4.3 Individual Hydrocarbons Composition of Pyrolytic oil...... 86 5.5 Conclusion ...... 95 5.6 References...... 96
6 Chapter 6 Conclusions and Recommendations...... 99
Appendix A: Demonstration of Mathematica Model ...... 102
Appendix B: Supporting Materials for GC-MS Analysis...... 107
Appendix C: Feasibility Study of Burning Tires with Coal ...... 110
1.1 Tire Burning in the United States ...... 110 1.2 Principal Fuel Properties and Environmental Performance...... 111 1.3 Boiler Type and its Operation with TDF ...... 114 1.3.1 Pulverized Coal Boilers...... 114 1.3.2 Cyclone Fired Boilers ...... 114 1.3.3 Fluidized Bed Boilers ...... 115 1.3.4 Stoker Boilers...... 115 1.4 A Case Study: Feasibility study of burning TDF blend with coal at the University of Cincinnati...... 117 1.4.1 Ambient impact of the air emission...... 120 1.4.2 Economics of burning tires with coal ...... 121 1.5 Conclusion ...... 121 1.6 References...... 122
III LIST OF TABLES
Table 1.1 Weight distribution of the various components of a passenger car tire [4]...... 7
Table 1.2 Fuel Properties [6, 7] ...... 7
Table 2.1 Proximate and ultimate analysis of used tires...... 19
Table 3.1 Influence of various heating rate on degradation reaction temperature...... 42
Table 3.2 Kinetic parameters of tire pyrolysis...... 49
Table 4.1 The analysis results of TDF samples subjected to pyrolysis conditions...... 71
Table 5.1 Approximate FTIR frequencies for hydrocarbon-substituted olefins and
heteroaromatic rings...... 85
Table 5.2 The major products in the pyrolytic oil identified by GC-MS ...... 88
Table 5.3 The most abundant isomeric structure identified by GC-MS...... 91
IV LIST OF FIGURES
Figure 1.1 U.S. Scrap Tire Markets 1990-2003 [1]...... 2
Figure 1.2 Cross section of a high performance passenger tire [4] ...... 6
Figure 1.3 Structure formula of rubber compounds [8, 9]...... 8
Figure 1.4 Formation of isoprene from natural rubber compounds [16] ...... 13
Figure 2.1 Schematic diagram of pyrolysis reactor ...... 22
o Figure 3.1 TG-DTG curves of TDF in O2 and N2, at 0.01L/min, heating rate 10 C/min 36
Figure 3.2 TG curve of TDF with the variation of heating rates ...... 37
Figure 3.3 Comparison of the thermogravimetric results ...... 38
Figure 3.4 Weight conversion at different heating rates from TGA...... 40
Figure 3.5 Weight conversion rate at different heating rates from TGA...... 41
Figure 3.6 Plot of TDF pyrolysis versus decomposition time. Symbols are the
experimental data, and lines are the calculated data...... 47
Figure 3.7 Plot of TDF decomposition in inert and non-inert atmosphere versus
decomposition time. Symbols are the inert atmosphere, and lines are the non-inert
atmosphere ...... 51
Figure 4.1 Pyrolysis product distribution with heating rate of 1 oC/min...... 60
Figure 4.2 Pyrolysis product distribution with heating rate of 5 oC/min...... 60
Figure 4.3 Pyrolysis product distribution with heating rate of 10 oC/min...... 61
Figure 4.4 Carbon distribution in pyrolytic by-products as function of heating rates...... 66
Figure 4.5 Carbon distribution in pyrolytic by-products as function of temperature ...... 67
Figure 4.6 Temperature profile and weight conversion of TDF and carbon content in
pyrolytic char ...... 68
V Figure 4.7 Percent sulfur removal at different heating rates...... 70
Figure 4.8 Percent sulfur in derived oil and pyrolyzed char compare to the original parent
sulfur content in TDF versus pyrolysis temperature...... 73
Figure 4.9 Percent sulfur removal versus percent devolatilzation and the rate of sulfur
removal as a function of volatiles ...... 74
Figure 4.10 Percent sulfur removal (%DeS) and percent ash recovery (%Ash) versus
percent devolatilization (%DeV) ...... 75
Figure 5.1 Schematic diagram of the vacuum pyrolysis reactor...... 81
Figure 5.2 IR Spectrum of TDF...... 83
Figure 5.3 IR Spectrum of pyrolytic oil heated at 5 oC/min and, a) maximum pyrolysis
temperature 500 oC, b) maximum pyrolysis temperature 800 oC ...... 84
Figure 5.4 The total ion chromatogram of pyrolytic oils at pyrolysis condition of 5
oC/min and a maximum temperature of 500 oC. The chemical structures of the
numbered group(s) are further identified by GC-MS in Table 5.2...... 87
Figure 5.5 Isomeric mass spectrum of trimethyl benzene and ethylbenzene ...... 90
Figure 5.6 The C4-Cyclohexenes in the pyrolytic oil from selective ion chromatogram:
pyrolysis condition of 5 oC/min and the maximum temperature of 500 oC. 1).
1,5,5,6- tetramethyl, 1, 3-Cyclohexadiene; 2). 1, 5, 5-trimethyl-6-methylene-
Cyclohexene; 3). 1,3,5,5-tetramethyl 1,3-Cyclohexadiene; 4). Terpinolene; 5). 4-
Isopropenyl-1-methyl-1-cyclohexene; 6). Terpinolene; 7). Terpinolene ...... 92
Figure 5.7 Diels-Alder reaction for the formation of naphthalene in scrap tire
pyrolysis[15] ...... 93
VI NOMENCLATURE
TDF Tire derived fuel
TGA Thermogravimetric analyzer
As Area of the characteristic ion for the analyte to be measured
Ca Known concentration of the analyte in the calibration solution (μg/mL)
Ma Mass of each target analytes, including alkylated homologues, μg
Aa Area of the characteristic ion for the analyte measured
RF Response factor for the analyte from the current calibration
C Concentration of each target analyte in a sample, μg/L
DF Dilution factor applied to the pyrolysis oil sample
W Sample volume, L
TG Thermogravimetric graph
DTG Derivative thermal analysis graph n Reaction order
E Activation energy, kJ/mol
A Pre-exponential parameter, min-1
NR Natural rubber
SBR Styrene butadiene rubbers
BR Butyl rubber
ASTM American Society for Testing of Materials
o Ti Initial decomposition temperature, C
o Tf Final decomposition temperature, C
VII o Tm Peak decomposition temperature, C
T Temperature, oC
dW/dT Weight conversation with respect to Temperature
R Universal gas constant, 8.3144 J mol-1K-1
t time, min
X Dimensionless weight conversion
dX/dt Derivative of conversion with respect to time
Wi Initial weight, g
Wf Final weight, g
Wt Weight at any time, g
SSQ Sum of square of the conversion
PAH Polycyclic aromatic hydrocarbon
DeS Desulfurization
DeV Devolatilization
H Heat content, Btu/lb, Btu/kg, kJ/kg
Wchar Weight of the solid char or pyrolyzed char, g;
WTDF Weight of the original TDF, g.
HTDF Heat value of the original TDF, Btu/lb;
Hpyrolyzed Heat values of the pyrolyzed product, Btu/lb.
STDF Total percent by weight of sulfur content in original TDF, wt.%
Spyrolyzed Total percent by weight of sulfur content in pyrolyzed products, wt.%
GC/MS Gas chromatography coupled with mass spectrometry
FT-IR Fourier Transform Infrared Spectrometer
VIII ATR Attenuated total reflectance
KBr Potassium bromide
IR Infrared spectroscopy
DCM Dichloromethane
EI Electron ionization
NIST National Institute of Standards and Technology
SIM Selected ion monitoring
TIC Total ion chromatogram
AED Atomic emission detector
S Sulfur
C Carbon
SO2 Sulfur Dioxide
N2 Nitrogen
IX Chapter 1
1 Introduction
1.1 Background and Problem Statement
More than 290 million tires are discarded annually in the United States, or an estimate of one tire per person per year [1]. In the past, environmental concern for tire
disposal has focused on solid and hazardous waste issues. Much information has already
been reported regarding the comparative merits of disposal alternatives – such as
recycling, landfilling and burning for fuel – in minimizing scrap tires and maximizing
recycle markets. One way of removing tires from the waste stream is disposal in valuable
landfill space. Scrap tires present unusual disposal problems, mainly because they are
bulky, non-biodegradable, and vary in durability. Unregulated stockpiles of used tires in
the open create a potential fire hazard as well as contributing to environmental, health,
and safety problems. Dumpsites with warm, stagnant water in scrap tire castings provide
an ideal breeding ground for mosquitoes. Severe illnesses, including encephalitis and
dengue fever, have been contributed to disease-carrying mosquitoes originating from
scrap tire piles [2]. The various characteristics of tires and the increase of unregulated
dumpsites present solid waste management problems that make tire disposal almost
impossible. For these reasons, many locations in the U.S. have prohibited the disposal of
whole tires in landfills and begun to strictly regulate the landfilling of scrap tires.
Landfilling, however, is still the least expensive option and the preferred disposal method
in many areas.
Another solution of removing tires from the waste stream is incineration. A
serious consequence of burning tires is that it may release toxic chemical compounds
1 such as dioxin, furans, and aromatic hydrocarbons into the atmosphere. The final products from the open combustion of waste tires are ash, particulates, tar, and exhaust gases, which are blamed for several physical health problems such as eye irritation and respiratory problems. The high levels of pollution generated from open tire burning are unacceptable to the public.
After years of detailed research, scientists have recognized scrap tires as a potential source of fuel – so-called Tire Derived Fuel (TDF). TDF has been known as a low-cost material with excellent and consistent fuel properties, especially containing significant heating value. Fuel derived from waste tires has an extremely high thermal value: about 12,000-16,000 BTU/lb. From 2001 through the end of 2003, the total number of scrap tires being used in the market slightly increased, as presented in Figure
1.1.
350 Millions of Tires % Scrap Tire Utilization 100
90 300 80
250 70 n s 60 200 50 150 40 Millions of Tire of Millions 30 100 % Scrap Tire Utilizatio 20 50 10
0 0 1990 1992 1994 1996 1998 2001 2003 Year
Figure 1.1 U.S. Scrap Tire Markets 1990-2003 [1]
2 The three major markets for scrap tires in the U.S. – including tire derived fuels, civil engineering, and ground rubber applications – are expected to expand in conjunction with the research on TDF. Legitimate markets for scrap tires are growing, and several industries have expressed significant interest in their fuel capabilities. Some of these industries include utility and process boilers such as electric utilities, pulp and paper mills, cement manufacturers, stoker boilers, and rotary kilns for supplement fuel [3].
Since the 1970s, public concern over the use of scrap tires as a fuel mainly deals with the potential environmental consequences if proper care is not exercised during the combustion process. A number of studies have investigated how to use available technology in order to eliminate the harmful emissions from combustion. In order to gain better knowledge of the potential of using used tire as supplemental fuels, several factors have been taken into consideration.
First, pyrolysis was studied because it is the first step of combustion for any solid fuel. The process can be altered to maximize the yield of char, oil or gas. The higher pyrolysis temperature thermally degrades the higher molecular weight oil species to gas due to its major impact on the nucleation process. However, various reaction steps leading to chemical nucleation of the aromatic compound in the pyrolysis process of TDF are still quite difficult to understand. Rubber compounding essentially depends on the combination of various ingredients to produce a polymer with characteristics sufficient for the end product to perform satisfactorily under its intended conditions. In addition, scrap tires cannot be melted and separated into their basic chemical components. With so many variables, it is almost impossible to know the exact composition of particular used
3 tires, so that a complete knowledge of the formation of many chemical compounds from tire pyrolysis has not yet become available.
Second, several questions remain concerning the use of TDF. The correlation between the TDF decomposition rate and the hydrocarbon production rate in pyrolysis- byproducts has yet to be developed. Also, a significant gap exists in the database of aromatic hydrocarbons that can be formed from the combustion of tires. Questions exist over the fate and level of volatile carbons emission in utility plants that use TDF as a fuel.
The possible production of carcinogens from the use of TDF is still a contentious topic and could possibly limit the future use of TDF as a fuel. Therefore, any understanding that will allow users to minimize the formation of hazardous polycyclic aromatic hydrocarbons and organic volatile carbons during the combustion of shredded tires will certainly increase the potential of using TDF as a fuel for many industries.
1.2 Research Objectives
The fact that tires are thermal-set polymers – meaning that they cannot be melted and separated into their chemical components – presents a challenge in the study of potential hazards emitted from burning used tires. One of the main objectives of this research was to study heat and mass transfer phenomena and kinetics behavior during pyrolysis of
TDF. The experiments were designed under the hypothesis that changes in the pyrolysis temperature and heating rates can alter the pyrolysis kinetics parameter and the mass distribution of the pyrolysis byproducts. A number of experiments were conducted to determine the degradation temperature by varying the pyrolysis conditions – such as carrier gas flow rates, heating rates, and pyrolysis temperatures. A laboratory scale thermogravimetric analyzer has been developed to study pyrolysis mechanisms
4 corresponding to the distribution of the products. The overall kinetic parameters for TDF
pyrolysis mechanisms were generated by dynamic heating method. The experimental
results were applied to validate the mathematical model.
Another objective of this study was to investigate the formation mechanisms of the
individual aromatic hydrocarbon during the pyrolysis of TDF. The particular thermal
decomposition mechanism was determined by using the pyrolysis reactor and the solid
state model. In this way, it was possible to find the relative stability of aromatic
compounds such as benzene and naphthalene. The model of aromatic hydrocarbons, with
the main chain radical propagators was applied. The main purpose of this research lied in
the understanding of the fundamental features of the aromatic compound formation and
pyrolysis mechanisms of TDF. Due to the numerous effects from the pyrolysis
conditions such as the heating rate and the pyrolysis temperature, it was extremely
difficult to simplify the detailed mechanisms of the changes in product yields. Hence, the
pyrolysis of used tire materials was studied in order to acquire the new knowledge about
the interference of TDF pyrolysis conditions with the aromatic hydrocarbons formation.
The experiments were designed under the hypothesis that changes in the pyrolysis temperature and heating rates can alter the composition of the aromatic compounds and the carbon contents in the pyrolysis oils.
1.3 Literature Review
The description of the properties, combustion, and pyrolysis mechanisms of tires, as well as fundamental knowledge of some aromatic hydrocarbon formation, will be discussed in this chapter.
5 1.3.1 Properties of Tires
A modern passenger car tire is made of more than 100 heterogeneous parts. The main
substrates are vulcanized rubber, rubber filler, rubberized fabric, steel cord, fillers like
carbon black or silica gel, sulfur, zinc oxide, processing oil, fabric belts, steel wire- reinforced rubber beads, and many more additives. The major composition of a typical passenger car tire is presented in Table 1.1. A wide variety of tire parts have been designed to accommodate the different desired material characteristics and the variety of consumer demands. A typical cross-section of a high performance passenger tire is presented in Figure 1.2[4].
Figure 1.2 Cross section of a high performance passenger tire [4]
The most common rubbers used for tires manufacture are natural rubber (NR),
styrene-butadiene rubber (SBR) and butadiene rubber (BR) [5]. Rubber is usually a blend
6 of two or three rubber compounds with additives. For example, the tread components can consist of blends of NR and SBR, compounded with carbon black, oils, and vulcanizing chemicals. The sidewall materials consist of a NR/BR blend. The structural formulas of rubber compounds can be distinguished from one another, but the main structures are similar.
Table 1.1 Weight distribution of the various components of a passenger car tire [4]
Tire components Percentage Natural rubber 15-19 Carbon black 24-28 Synthetic rubber 25-29 Steel cords 9-13 Textiles cords 5-6 Chemical additives 14-15
The comparison of fuel properties derived from various solid fuel sources is summarized in Table 1.2. The TDF shows the highest heating value among coal, residual derived fuel and wood.
Table 1.2 Fuel Properties [6, 7] Residual Fuel Analysis Coal TDF Derived Wood Fuel Moisture, % 12.8 0.8 24.0 39.1 Ash,% 10.4 9.6 12.0 0.4 Volatile% 34.4 66.4 54.0 49.7 Fixed carbon, % 42.4 23.2 10.0 10.8 Heating value(Btu/lb) 11000 15312 5900 5140 C, % 61.1 76.9 H, % 4.1 7.0 S, % 2.8 1.4
7
The principle components of rubbers considered in this study are hydrocarbons consisting solely of carbon and hydrogen. Polymers are high molecular weight compounds made from multiple low molecular weight building units, or monomers.
Polymer structures may consist of 1000-20000 repeating units of single- or double- bonded carbon-hydrogen monomers [5]. For instance, NR is a polymer composed of isoprene, butadiene, styrene and isobutyl units. SBR is a combination of styrene and a number of alkane and alkene units as shown in Figure 1.3.
CH3 H3C H H H H H
HH HH H NR H H NR
a) Natural Rubber (NR)
H HH H BRS H
H H HH SBR
H H
H H
H
b) Styrene-Butadiene Rubber (SBR)
H H BR BR
H H H H
c) Polybutadiene Rubber (BR)
Figure 1.3 Structure formula of rubber compounds [8, 9]
8 1.3.2 Combustion of Tires
The use of scrap tires as a fuel has been recognized as a potential low cost material
with excellent and consistent fuel properties, especially containing a significant heating
value. The current situation of burning waste tires in the U.S. has been reviewed and
reported in a concise, cohesive, and exclusive summary[3, 6]. The extensive review on this
particular subject is based on the application of using used tires as a supplementary fuel
in boiler utility plants. A case study of used tire combustion is presented in Appendix C.
1.3.3 Pyrolysis Mechanism of Tires
Thermogravimetry (TG/DTG) has been used extensively for the study of pyrolysis
behavior and the analysis of elastomer decomposition [10-12]. The reaction order (n), the
activation energy (E), and pre-exponential parameter (A), were determined according to
the heating value and weight change. The kinetic parameters from the other studies were
developed empirically and were valid over the precise selection of the derivative peak and degradation temperature. Pyrolysis has been recognized as a chemical degradation
reaction that is caused by thermal energy alone [13]. The pyrolysis reaction occurs at the
beginning of any combustion process of solid fuels. The reaction is known to be a major
mechanism in the combustion process that generates aromatic hydrocarbons [7, 9, 14-17].
One concern about burning scrap tires centers on the impact of air emissions – in particular, the possibility of producing carcinogenic compounds such as polycyclic aromatic hydrocarbon (PAH) during combustion [18-21]. Lemieux [18] indicated that
volatile organic emissions – such as chloromethane, benzene, and styrene – from TDF
emissions were comparable to those from pulverized coal and oil combustion, although
no significant amounts of semi-volatile organic compounds were reported in his work.
9 Leung [19] reported that the degradation of rubber compounds such as NR, BR and SBR started when the combustion temperature was higher than 350 oC. The same study
concluded that the decomposition rate at temperatures above 350oC was affected by the heating rates rather than the sample sizes. Atal [20] studied the emission of semi-volatile
PAH from the combustion of pulverized bituminous coal and ground automobile tires.
They reported that none of the deuterated PAH, adsorbed on the surface of mixed fuels,
existed after the combustion process. Small amounts of the overall labeled PAH
standards were recovered in other deuterated components under high temperature, ~1150
oC, in the pyrolysis. Atal [20] and Levendis [21] measured PAH emissions from dry-
injected cylindrical streams of coal and waste tire particles in a sealed laminar flow furnace. They claimed that the total amounts of PAH remained unchanged, although they observed a slight change in the distribution between the gas and the condensed PAH phases. Kaminsky [14] reported less than 5% of benzene and toluene by tire weight in the
pyrolysis oil at 750oC via a fluidized bed reactor. Cypress [16] suggested that the
concentrations of naphthalene at 3.8% and phenanthrene at 1.6% by tire weight were
generated via a two-stage pyrolysis processes. Williams [9] analyzed the molecular
weight distribution of pyrolysis oil from a static-batch fixed-bed reactor. They concluded
that over 10% of the total mass of tire-derived oil could be contributed to the
concentration of PAH. Some carcinogenic PAH such as benzo[a]pyrene,
benzo[e]pyrene, chrysene and fluoranthene were present in significant concentrations.
Cunliffe [16] used a nitrogen-purged static-bed batch reactor to pyrolyze three-kilogram
batches of shredded scrap tires at temperatures between 450 and 600 oC. He reported that
the results of the gas analysis support the dehydrogenation of alkanes to alkenes,
10 followed by cyclisation and aromatization. Limonene was found to be a major component in pyrolysis oil. Significant quantities of light aromatics – such as benzene,
toluene, xylene and styrene – were recovered in the same study. Pakdel [17] reported that
the short vapor residence time in a vacuum pyrolysis reactor caused low decomposition
temperature but increased the oil yield.
Tire pyrolysis is technically feasible; however; economics are more favorable
when the pyrolysis by-products can be profitable. The suitability of the usage of oils,
solid char, and gas yielded from the pyrolysis of TDF has been explored for many
applications [7, 14-17, 22]. The derived gases are useful as fuels, and the solid chars – carbon
black and activated carbon – can be used as smokeless fuels [7, 14, 15, 22]. The derived oils
from TDF pyrolysis have a high calorific value similar to that of a medium heating oil, and may be used for substitution of conventional fuels or added to petroleum refinery feedstocks [14-17]. Of highest interest are the derived oils, which have been recognized as
the most valuable products, particularly in the chemical industry. The potential of using
derived oil in some industrial applications has been researched for many years, but
additional research is still necessary. These studies have raised public concerns regarding the potential for derived oil to substitute conventional fuels.
1.3.4 Formation of Polycyclic Aromatic Hydrocarbons
Polycyclic aromatic hydrocarbons are a group of harmful organic substances which have come to be of public interest on account of the existence of hazardous waste deposit sites [23]. The method of measuring on PAH emission and TDF pyrolysis has been the
subject of the numerous studies for several years since the introduction of used tires as a
potential supplemental fuel in a power generation industry [3, 6, 24]. The history of PAH
11 formation from the pyrolysis process started long ago, and TDF has been well known as
one of the very few materials having essentially high heat content in comparison with
coal. Nevertheless, because of the complexity in TDF composition and the factors that
affect PAH formation, some studies on pyrolysis composites have resulted in
contradicting and doubtful observations [16, 20, 25, 26]. Pyrolysis is the process of breaking
up a molecule by heat [18], without air or avoiding oxidation. It is commonly performed
in an inert atmosphere or low pressure. The pyrolysis process of a polymer depends on
the experimental conditions. Violi [25] studied the modeling of particulate formation in combustion and pyrolysis. They applied a detailed chemical kinetic mechanism to explore the effects of C/O ratio, temperature, and pressure on the formation of high
molecular weight aromatic species in premixed flames and shock tubes in a wide range of
operating conditions. As a result, they reported that in very fuel-rich and pure pyrolysis conditions the mechanism involving H-atom abstraction and acetylene addition to aromatics controls the formation of aromatics. They summarized that particulate formation in combustion is based on three steps: (1) production of the first aromatic ring through the oxidation and early pyrolysis of the fuel, (2) planar PAH growth by a sequence of H-atom abstraction and acetylene addition reactions resulting in the formation of primary solid particles, and (3) the formation of solid state clusters by coagulation of surface growth reactions that compete with oxidation reactions. The formation of PAH compounds basically follows the steps of soot formation in the combustion process. The condensed phase material and subsequent absorption of high molecular weight hydrocarbons is formed after the nucleation reaction process. The dehydrogeneration of the primary soot particles and cyclisation and dehydrogenation of
12 the absorbed hydrocarbons took place before agglomeration, conglomeration and thermal
ionization of the small particles [16, 27].
The mechanism of polymer decomposition begins with the first decomposition step or
initiation step, then subsequent steps – including chain scission, side group scission, and
combined reactions – take place. Polymer chain scission is an elimination reaction that
takes place by breaking the bonds that form the polymeric chain. It is also sometimes
called a depolymerization [8, 26, 28], which results in the formation of molecules of lower molecular weight. An example of the formation of isoprene from NR is presented in
Figure 1.4.
CH3 H3C H H H H C H H 3
H HH H H H2C CH2 NR H H NR
Figure 1.4 Formation of isoprene from natural rubber compounds [16]
Sahouli [28] stated that during the pyrolysis of used tires, the long elastomer chains broke down and were adsorbed on the carbon black surface. As a consequence, carbon deposits and small aromatic compounds were formed, depending on the pyrolysis conditions. Streitwieser [8] found that pyrosynthesis is the only mechanism for any
formation of PAH during the combustion of light fuels such as methane, ethylene or
blends of aliphatics such as some grade of gasoline. However, in the case of heavier
fuels, such as diesel and heating oils, coal or coal liquefaction products and tire
13 considered herein some of the PAH emission could be attributed to surviving PAH
constituents of the fuels themselves.
Despite a lot of work that has been done on pyrolysis of TDF, only a few studies
have reported the correlation of carbon decomposition and the morphological changes of
the aromatic hydrocarbons in the pyrolysis-byproducts. It was concluded that the
formation route of PAH might have been initially caused by the depolymerization from
rubber compounding. These studies have raised public concerns regarding the
management and environmental impact from the combustion of TDF. Most
investigations were undertaken to evaluate the use of scrap tires as a supplementary fuel
source in industrial applications.
1.4 References
1. U.S. Scrap tire markets 2003 Edition. 2004, Rubber Manufacturers Association:
Washington, DC.
2. Illegal dumping prevention guidebook. 1998, US.EPA Region 5Waste, Pesticides
Land Toxics Division: Chicago, IL.
3. Clark, C., Meardon, K., and Russell, D., Burning tires for fuel and tire pyrolysis
air implications. 1991, U.S. Environmental Protection Agency Office of Air
Quality Planning and Standards: Research Triangle Park, NC.
4. Mark, J.E., Erman, B., and Eirich, F.R., Science and technology of rubber. 2005,
Elsevier Academic Press: Burlington, MA. p.619-611.
5. Barlow, F.W., Rubber compounding : principles, materials, and techniques.
1993, M. Dekker: New York. p.9-55.
14 6. Dodds, J., et al., Scrap tires a resource and technology evaluation of tire pyrolysis
and other selected alternate technologies. 1983, Dept. of Energy. Idaho
Operations Office.: Idaho Falls, ID.
7. Williams, P.T., Besler, S., and Taylor, D.T., The pyrolysis of scrap automotive
tyres : The influence of temperature and heating rate on product composition.
Fuel, 1990. 69(12): p.1474-1482.
8. Streitwieser, A. and Heathcock, C.H., Introduction to organic chemistry. 3rd ed.
1985, New York: Macmillan.
9. Williams, P.T. and Taylor, D.T., Aromatization of tyre pyrolysis oil to yield
polycyclic aromatic hydrocarbons. Fuel, 1993. 72(11): p.1469-1474.
10. Friedman, H.L., Kinetics of thermal degradation of char-forming plastics from
thermogravimetry. Application to a Phenolic Plastic. J. Polym. Sci., 1964. C6:
p.183-195.
11. Chen, J.H., Chen, K.S., and Tong, L.Y., On the pyrolysis kinetics of scrap
automotive tires. Journal of Hazardous Materials, 2001. 84(1): p43-55.
12. Oh, S.C., Jun, H. C., and Kim, H. T., Thermogravimetric evaluation for pyrolysis
kinetics of styrene-butadiene rubber. Journal of Chemical Engineering of Japan,
2003. 36(8): p.1016-1022.
13. Moldoveanu, S., Analytical pyrolysis of natural organic polymers, in Techniques
and instrumentation in analytical chemistry ; v.20. 1998, Elsevier: Amsterdam ;
New York. p.1-31.
14. Kaminsky, W., Menzel, J., and Sinn, H., Recycling of plastics. Conservation &
Recycling, 1976. 1(1): p.91-110.
15 15. Cypress, R. and Bettens, B., Production of benzoles and actives carbon from
waste rubber and plastics materials by means of pyrolysis with simultaneous post-
cracking, in Pyrolysis and gasification, Ferrero, G.L., Maniatis, K., Buekens, A.
and Bridgwater, A. V., Editor. 1989, Elsevier Applied Science: London ; New
York. p. 209-229.
16. Cunliffe, A.M. and Williams, P.T., Composition of oils derived from the batch
pyrolysis of tyres. Journal of Analytical and Applied Pyrolysis, 1998. 44(2):
p.131-152.
17. Pakdel, H. and Roy, C., Simultaneous gas chromatographic--Fourier transform
infrared spectroscopic--mass spectrometric analysis of synthetic fuel derived from
used tire vacuum pyrolysis oil, naphtha fraction. Journal of Chromatography A,
1994. 683(1): p.203-214.
18. Lemieux, P.M., Pilot-Scale Evaluation of the Potential for Emissions of
Hazardous Air Pollutants from Combustion of Tire-Derived Fuel. 1994, U.S.
Environmental Protection Agency: Washington, DC.
19. Leung, D.Y.C. and Wang, C.L., Kinetic study of scrap tyre pyrolysis and
combustion. Journal of Analytical and Applied Pyrolysis, 1998. 45(2): p. 153-169.
20. Atal, A., et al., On the survivability and pyrosynthesis of PAH during combustion
of pulverized coal and tire crumb. Combustion and Flame, 1997. 110(4): p. 462-
478.
21. Levendis, Y.A., et al., Comparative study on the combustion and emissions of
waste tire crumb and pulverized coal. Environmental Science & Technology,
1996. 30(9): p.2742-2754.
16 22. Senneca, O., Salatino, P., and Chirone, R., A fast heating-rate thermogravimetric
study of the pyrolysis of scrap tyres. Fuel, 1999. 78(13): p. 1575-1581.
23. Hubschmann, H.-J., Handbook of GC/MS : fundamentals and applications. 2001,
Wiley-VCH: Weinheim Chichester. p. 444-458.
24. Unapumnuk, K., Keener, T. C., Khang, S., and Lu, M.,, Pyrolysis Behavior of
Tire Derived Fuels at Different Temperatures and Heating Rates. The Journal of
Air and Waste Management Association, 2006. 56:p. 618-627.
25. Violi, A., Anna, A., and Alessio, A., Modeling of particulate formation in
combustion and pyrolysis. Chemical Engineering Science, 1999. 54(15-16): p.
3433-3442.
26. Cypres, R., Aromatic hydrocarbons formation during coal pyrolysis. Fuel
Processing Technology, 1987. 15: p. 1-15.
27. Yang, J. and Lu, M., Thermal growth and decomposition of methylnaphthalenes.
Environmental Science & Technology, 2005. 39: p. 3077-3082.
28. Sahouli, B., et al., Surface morphology and chemistry of commercial carbon black
and carbon black from vacuum pyrolysis of used tyres. Fuel, 1996. 75(10): p.
1244-1250.
17 Chapter 2
2 Research Methodology
2.1 Properties of Tire Derived Fuel Materials
In general, one passenger car tire contains many heterogeneous parts, such as
vulcanized rubber, rubber filler, rubberized fabric, steel cord, fabric belts, and steel wire-
reinforced rubber beads in order to meet the various demands. A typical passenger car
tire contains 24-28 percent of carbon black, 40-48 percent of natural rubber (NR) and 36-
24 of synthetic rubber including styrene butadiene rubbers (SBR) and butyl rubber (BR).
Various types of rubber are used in the different components of passenger car tires. For
instance, SBR are used in tread, NR and NR/BR are used in belt compounds,
NR/BR/SBR and NR/SBR blend are used in subtread, NR/BR blend are used in sidewall,
and 70-100 % of NR with 30% of SBR or BR are used in bead filler [1]. The chemical
structure of rubber compounding is somewhat complicated. Carbon and hydrogen atoms
are cross-linked and bunched together in a way which will achieve the vulcanization
process. For example, NR itself is a polymer composed of isoprene, butadiene, styrene
and isobutyl units. The chemical composition of each TDF sample set is unique and
needed to be determined prior to pyrolysis.
Used tire samples were obtained at random from shredded car tires. Central Ohio
Contractors, Inc. and Cinergy Inc. supplied the TDF samples. The chemical composition of the TDF samples, as given in the material safety data sheets, showed a composition of
16-36% carbon black, <1% clay, <1.5% titanium dioxide, <2.0% zinc dioxide, <2.0%
sulfur, 5-13% petroleum hydrocarbons, and 40-48% rubber compounds. The specific
gravity of TDF samples was measured and found to be in the range of 1.085-1.331. The
18 shredded tire samples were cut and sieved to isolate samples in the range of 1.00-2.00 mm. A typical analysis of the tires, on a steel- and fabric-free basis, is reported in Table
2.1.
Table 2.1 Proximate and ultimate analysis of used tires
Analysis As received Dry Proximate analysis: Moisture, % 2.58 Ash, % 6.99 7.18 Volatile, % 57.09 58.60 Fixed carbon, % 33.34 34.22 Heat content, Btu/lb 15,314 15,712 Ultimate analysis Carbon, % 82.64 Sulfur, % 1.54 Nitrogen, % 0.31 Hydrogen, % 8.04 H/C 1.17
2.2 Experimental Design
Series of experiments were performed to study the pyrolysis of TDF using a
specific design reactor. The task was divided into two categories: (1) thermogravimetric
experiments including reactor design and pyrolysis product distribution study; (2) laboratory analysis of the pyrolysis products including proximate and ultimate analysis, and identification of organic compounds. Descriptions of the experimental set up and the methods used in this study are described in detail below.
2.2.1 Reactor Design
At the beginning of this study, a series of preliminary experiments was performed with the objective of obtaining results that would allow the optimum design of the pyrolysis kinetic studies. These experiments intended to get an initial idea of the temperature range of decomposition of the TDF, and the behavior of the system, so that
19 the main experiments could be designed to achieve optimum performance. Initial
pyrolysis experiments were performed using a commercially available TGA model 2050 manufactured by TA Instruments, Inc. to obtain initial weight change data with respect to temperature.
A TGA reactor was developed at the University of Cincinnati in order to analyze the heterogeneous TDF samples. A schematic diagram of the experimental unit is shown in Figure 2.1. The reactor is capable of performing pyrolysis on 3-4 grams of TDF sample which was found to be a sufficient amount of the material. During the experiment, the TDF sample was placed in a ceramic crucible capable of holding up to 4 grams of shredded tire. The sample container was hung from the bottom weight balance.
The reactor tube was heated via a Lindberg Ltd., electrical heater. The heating temperature was programmed by a Eurotherm, Ltd. temperature controller. A type-K thermocouple, placed in the middle of the heating tube, monitored the reaction temperature. The sample weight change and temperature change were recorded every 10 seconds via the data acquisition system. The carrier gas was introduced through a top nozzle at a constant flow rate for at least 30 minutes in order to purge any remaining oxygen inside the reaction zone. Several flow rates of carrier gas were tested until an optimum gas flow rate was calculated. A flow rate in which the thermogram from the
TGA reactor showed good agreement with data obtained from the commercially available
TGA was used as an optimum flow rate for the subsequent experiments. In this study, a nitrogen gas flow rate of 0.47 L/min was determined to be optimum from the pretrial experiments. The thermocouple was placed inside the reactor tube, 2-4 cm above the sample basket. The measured temperature value represented the actual temperature of
20 the TDF sample. As suggested by the other investigation, the heat transfer effect can be
reduced by purging with the highest carrier gas velocity possible [2]. In this study, two
methods might be used to reduce any error in temperature measurement due to
temperature gradient: (i) bring the thermocouple in contact with the sample or (ii) reduce
the sample size [3]. As such, the effects of heat transfer and temperature gradient in the
TDF sample were eliminated in the TGA experiments. The heater is programmed to give
the sample heating rates of 1, 5, 10, 20, 30, 50 and 100 °C/min to the final pyrolysis
temperatures of 400, 450, 500, 600, 800 and 1000 oC. The final temperature was held for
at least an hour after the final desired temperature was reached. The change of the
sample mass (TG curve) and the derivatives of the mass change (DTG curve) with
respect to reaction temperature were recorded simultaneously. After the completion of
the experiment, a continuous purge of inert carrier gas was injected in the reactor until the temperature returned to room temperature.
The gaseous products of pyrolysis were passed directly through the oil condensation system. The oil condenser unit was filled with dry ice during the process to maintain a temperature below 0 oC. The oil condenser unit was connected to a glass fiber
filter (Whatman type GF/F filter, diameter 47 mm.). The Millipore filter holder was
controlled at a temperature of 100 oC during the experiment.
21
Figure 2.1 Schematic diagram of pyrolysis reactor
22 2.2.2 Pyrolysis Product Distribution Experiment
At the end of each experiment, the condensed oil, residual ash, and filter paper
were removed. The inside reactor tube was rinsed using dichloromethane to remove any
deposited soot. The filters were dried and desiccated for at least 24 hours. The mass of
the residual ash, soot, and condensed oil were determined by gravitational method. The
mass of the gases was calculated by the difference between residual ash, soot, condensed
oil and the initial weight of the TDF sample.
2.2.3 Proximate and Ultimate analysis
The residual pyrolysis char was removed from the sample basket after each
experiment. The char was dried, desiccated for at least 24 hours, and then sent for
analysis of the principle fuel properties. Proximate analysis was used to determine the
moisture, ash, volatile, and fixed carbon content. Ultimate analysis was used to determine the elemental composition in terms of carbon, hydrogen, sulfur, nitrogen, and
oxygen. The fuel property analysis of the pyrolysis char was performed by OKI analytical laboratory, a certified commercial laboratory in Cincinnati. The analytical methods were performed according to ASTM D3172 Standard Practice for Proximate
Analysis of Coal and Coke, ASTM D5865 Standard Test Method for Gross Calorific
Value of Coal & Coke and ASTM D3176-89 Standard Practice for Ultimate Analysis of
Coal and Coke.
2.2.4 Identification of Organic Compounds
The gaseous product was neglected in this study because only trace amount of gas emission could be recovered from the TGA. The oil and char from pyrolysis can be
23 recovered as valuable byproducts from the TDF pyrolysis. It has been suggested that the
oils derived from the pyrolysis of used tires have a high calorific value similar to medium
heating oil, and can be used directly as fuel or added to petroleum refinery feedstocks[4-7].
Moreover, some studies stated that the recovered oil and char product from the TDF
pyrolysis has made tires into one of the most economical recyclable resources [8]. In this
study, the laboratory analysis was divided into two categories: chemical structural
analysis of pyrolysis oil and proximate and ultimate analysis of pyrolytic char.
2.2.4.1 Gas Chromatography coupled with Mass Spectrometry (GC-MS)
For the pyrolytic oil, a good clean-up and the necessary concentration of the analyte was required for the analysis. A 2-μL portion of the pyrolytic oil was diluted in
10 mL of DCM. The diluted oil was filtered through a polytetrafluoroethylene pre-cut membrane filter. The filtrate was concentrated by gently introducing nitrogen gas to the sample. The final elution volume was 10 mL. The soluble organic fragments in the pyrolytic oil were analyzed by gas chromatography coupled with mass spectrometry (GC-
MS). The GC-MS system consists of a Varian Model CP-3800 GC with a CP-Sil 8 CB
Low Bleed/MS capillary column, a CP-8400 auto sampler and a Varian Saturn 2200 mass
spectrometer. Basically, the specification of the CP-Sil 8 CB capillary column was
comparable to the DB-5 capillary column that was designed for the analysis of the
standard list of 16 PAHs by the EPA. Structural formulas were specified in the GC-MS
by the EPA 525 analytical method. The identification of interesting components present
in the pyrolytic oil sample was first carried out manually by comparison of the spectra
with the National Institute of Standards and Technology (NIST) library. The
24 quantification of interesting components which have been identified by spectra comparison was then carried out with a number of external standard calibration curves.
Prior to calibration, the MS was auto-tuned to acetonitrile using criteria established by the instrument manufacturer. A three-point response factor (RF) calibration curve was established for analytes of interest prior to analysis of samples and quality control samples. An RF was determined for each analyte and calibration level by using the following equation:
As RF = ------(2-1) Ca Where:
As = the area of the characteristic ion for the analyte to be measured
Ca = the known concentration of the analyte in the calibration solution (μg/mL)
A mid-level calibration standard was analyzed at the beginning or the end of each analytical set. The RF for each compound was determined of each time in order to make comparisons to the previous RF values from the initial calibration curve. The percent difference among all analytes must be less than 25%. If the calibration check did not meet this criterion then the initial four-point calibration was repeated.
The initial calibration of the GC-MS must meet the previously described criteria prior to sample analysis. The pyrolytic oil samples were analyzed in analytical sets that consisted of standards, samples and quality control samples. Quality control samples were methods blanks, laboratory duplicates, and standard reference materials. The type and number of quality control samples depended upon the material availability. An autosampler was used to inject 0.5 μL of all samples, standards and QC samples into the
25 capillary column of the GC using the EPA 525 original method under the following
conditions; however, slight modifications were necessary depending upon the analysis.
The injection temperature was 280 oC in splitless mode. The transfer line temperature
was set at 280 oC. The carrier gas was ultra-high purity helium and the flow rate was 1.2
mL/min. The oven temperatures were programmed as follows:
Temp (oC ) Rate (oC/min) Hold (min) Total (min) 40 - 2 2 200 10 0 18 270 5 0 32 300 10 10 45
The effluent from the GC capillary column was routed directly into the ion
sources of the MS. The MS was operated in the Electron Ionization, full scan mode
ranging 100-300 u at a scan rate of 1 second/scan. In order to include the quantification
and confirmation masses for the interesting compounds, the MS was operated in the selected ion monitoring mode by the appropriated selected windows. For all compounds detected at a concentration above the method detection limit, the confirmation ion was checked to confirm the analyte’s presence.
The current profiles of the extracted ions of the primary m/z and the confirmatory ion for each analysis must meet the following criteria [9]:
The characteristic masses of each analyte of interest must be in the same
scan or within one scan of each other. The retention time must fall within
±5 seconds of the retention time of the authentic compound or alkyl
homologue grouping determined by the analysis of the daily calibration
check or reference external standard, respectively.
26 The alkylated homologue groupings (e.g. C2-benzene) appear as a group
of isomers. The pattern and the retention time window for each group
were established by the analysis of a reference external standard. Each
group of alkylated homologues was integrated in its entirety and the total
area response was used to determine the concentration of the entire group.
Identification of the isomers was carried out by comparison of retention
times with those of standard substances.
The relative peak heights of the primary mass ion, compared to the
confirmation or secondary mass ion, must fall within ±30 percent of the
relative intensities of these masses in a reference mass spectrum. The
reference mass spectrum was obtained from the NIST database or the
reference external standard for the parent compounds and alkylated
homologues, respectively. However, in some instances, a compound that
did not meet secondary ion confirmation criteria may still be determined
to be present in a sample after comparison of the data by the Wiley 625
mass spectra library reference book or the eight peak index reference
book. Supportive data included the presence of the confirmation ion, but
a different ratio.
Data not meeting the criteria established in this section were appropriately
qualified or re-analyzed.
Sample analytes’ concentrations were calculated based on the concentration and response of the external standard compounds. The equations in Section
2.3.1.1 were used to calculate the RF of each analyte in relation to the
27 concentration and area of the external standard in the initial calibration. RFs for
alkylated homologues were assumed equal to the RF of the respective parent
compound.
The mass (Ma) of each target analytes (μg), including alkylated homologues, was
calculated using the following equation:
Aa Ma = ------(2-2) RF Where:
Aa = the area of the characteristic ion for the analyte measured
RF = the response factor for the analyte from the current calibration
The concentration ( C ) of each target analyte in a sample (μg/L) was calculated
using the following equation:
MaDF C = ------(2-3) W Where:
DF = the dilution factor applied to the pyrolysis oil sample
Volume of DCM (μL) DF = Volume of the pyrolytic oil sample used to make dilution (μL)
W = the sample volume (L)
The initial calibration must pass established criteria before sample analysis can begin. All continuing calibration checks must pass established criteria for analysis to continue.
The mass of carbon in each target analyte in an pyrolytic oil sample (μg-C/g-
TDF) was calculated using the following equation:
28 C × DF ×12× C Mass in C-basis = m ------(2-4) Densityofoil × MW Where:
Cm = the number of carbon atom appeared in the target compound
MW = the molecular weight of the target compound
2.2.4.2 Fourier Transform Infrared Spectrometer (FT-IR)
Organic functional groups within the pyrolytic oil sample were confirmed by a
Fourier Transform Infrared Spectrometer, coupled with attenuated total reflectance (FT-
IR/ATR). The FT-IR/ATR (Nicolet Mogna 760) was connected with a ZnSe crystal.
The ATR technique has been known to obtain qualitative spectra of solid materials regardless of thickness. The absorption spectrum was generated when light passed through the sample sheet to a depth of a few micrometers [10]. In this analysis mode, a crystal prism with a high refractive index physically contacts the surface layer of the specimen. Absorption bands were detected from the corresponding vibrational modes within the surface of the materials contacting the prism [11]. Basically, FT-IR measures vibrational excitation of atoms around the bonds that connect them. Each molecule shows a characteristic infrared spectral pattern in the absorption region due to bond strength and bonding motions [11]. Characteristic peaks were absorbed for specific functional groups, a result of stringing bending, other modes of vibration, or combination a combination of both factors [10-13].
The stretching frequency for a bond between two atoms of mass m1 and m2 can be calculated [12]:
29 1 (m + m ) ν ′ = K 1 2 ------(2-5) 2πc m1m2
Where:
ν ′ = absorption frequency (cm-1)
c = speed of light (3 x 1010 cm/sec)
K = bond force constant (dyne/cm or g/sec2)
12 -23 m1, m2 = atomic mass in grams; mass C = 2 x 10 g
In this study, a small droplet of the pyrolytic oil was deposited on a potassium bromide (KBr) pressed disk and the spectrum was acquired via transmission infrared spectroscopy (IR). The microdisk technique permits examination of sample weight as small as 1 μg [10]. A pure spectrum of the pyrolytic oil was obtained since KBr contains no absorption bands in the IR region. The technique for obtaining the infrared spectra of the TDF sheet was more diversified than for the pyrolytic oil. IR vibration frequencies characterized the presence or absence of functional groups for the hydrocarbons.
Principal functional structures of the TDF materials were confirmed.
2.2.4.3 Gas Chromatography equipped with an atomic emission detector (GC-
AED)
The oil produced from pyrolysis was collected in a condenser trap. It had a yellowish color and a distinctive smell. The derived oil was analyzed for total sulfur content using an Agilent (Agilent Technologies, Palo Alto, CA) Model 6890 Series gas chromatograph equipped with an Agilent G2350A atomic emission detector (GC-AED).
The AED has been well described as efficient in the quantification of elements including
30 sulfur and its compounds by selective spectrometric detection technique [14-17]. The sulfur elements were separated on a HP-5MS type capillary column (30 m x 0.25 mm i.d. x 0.25
μm film). Helium was used as a carrier gas at the column flow rate of 1.3 mL/min. The split ratio was 20:1 and an injection volume was 1 μL. The injection temperature and the
AED transfer line were controlled at 280 and 310 oC respectively. The GC oven temperature program was heated from 40 oC to 300 oC at 10 oC/min and held for 10 min.
A combination of 50 psi oxygen and 45 psi hydrogen was used as a reagent gas with a make up flow rate of 66 mL/min. The detector cavity block was kept at 300 oC.
Chromatograms were simultaneously monitored at the emission lines of carbon (179 nm) and sulfur (181 nm).
2.3 References
1. Mark, J.E., Erman, B., and Eirich, F.R., Science and technology of rubber. 2005,
Elsevier Academic Press: Burlington, MA. p. 619-611.
2. Szekely, J., Evans, J.W., and Sohn, H.Y., Gas-solid reactions. 1976, Academic
Press: New York. p. 205-246.
3. Chen, J.H., Chen, K.S., and Tong, L.Y., On the pyrolysis kinetics of scrap
automotive tires. Journal of Hazardous Materials, 2001. 84(1): p. 43-55.
4. Clark, C., Meardon, K., and Russell, D., Burning tires for fuel and tire pyrolysis
air implications. 1991, U.S. Environmental Protection Agency Office of Air
Quality Planning and Standards: Research Triangle Park, NC.
5. Mirmiran, S., Pakdel, H., and Roy, C., Characterization of used tire vacuum
pyrolysis oil: Nitrogenous compounds from the naphtha fraction. Journal of
Analytical and Applied Pyrolysis, 1992. 22(3): p. 205-215.
31 6. Urban, D.L. and Antal, M.J., Study of the kinetics of sewage sludge pyrolysis
using DSC and TGA. Fuel, 1982. 61(9): p. 799-806.
7. Gallagher, P.K. and Brown, M.E., Handbook of thermal analysis and calorimetry.
1998, Amsterdam [Netherlands] ; New York: Elsevier.
8. Kim, S., Park, J.K., and Chun, H.-D., Pyrolysis kinetics of scrap tire rubbers. 1.
using DTG and TGA. Journal of Environmental Engineering-ASCE, 1995. 121(7):
p. 507-514.
9. Hubschmann, H.-J., Handbook of GC/MS : fundamentals and applications. 2001,
Wiley-VCH: Weinheim Chichester. p. 444-458.
10. Silverstein, R.M., Webster, F.X., and Kiemle, D.J., Spectrometric identification of
organic compounds. 2005, J. Wiley & Sons: Hoboken, N.J. p. 3-164.
11. Ege, S.N., Organic chemistry : structure and reactivity. 1994, D.C. Heath:
Lexington, Mass. p. 376-393.
12. Crews, P., Rodr ํguez, J., and Jaspars, M., Organic structure analysis. 1998,
Oxford University Press: New York. p. 317-347.
13. Colthup, N.B., Daly, L.H., and Wiberley, S.E., Introduction to infrared and
Raman spectroscopy. 1990, Academic Press: Boston. p. 247-288.
14. Inoue, S., Takatsuka, T., Wada, Y., Hirohama, S., and Ushida, T., Distribution
function model for deep desulfurization of diesel fuel. Fuel, 2000. 79(7): p. 843-
849.
15. Link, D.D. and Zandhuis, P., The distribution of sulfur compounds in
hydrotreated jet fuels: Implications for obtaining low-sulfur petroleum fractions.
Fuel, 2006. 85(4): p. 451-455.
32 16. Ramil Criado, M., Rodriguez Pereiro, I., and Cela Torrijos, R., Selective
determination of polychlorinated biphenyls in waste oils using liquid-liquid
partition followed by headspace solid-phase microextraction and gas
chromatography with atomic emission detection. Journal of Chromatography A,
2004. 1056(1-2): p. 263-266.
17. van Stee, L.L.P., Brinkman, U.A.T., and Bagheri, H., Gas chromatography with
atomic emission detection: a powerful technique. TrAC Trends in Analytical
Chemistry, 2002. 21(9-10): p. 618-626.
33 Chapter 3
3 Thermogravimetric Study and Pyrolysis Kinetic Mechanisms
3.1 Abstract
Pyrolysis product distribution rates and pyrolysis behavior of tire derived fuels (TDF) were investigated using thermogravimetric (TGA) techniques. A TGA was designed and built in order to investigate the behavior and products of pyrolysis of typical TDF specimens. Fundamental knowledge of thermogravimetric analysis and principal fuel analysis is applied in this study. Thermogravimetry of the degradation temperature of the
TDF confirms the overall decomposition rate of the volatile products during the depolymerization reaction. The principal fuel analysis (proximate and ultimate analysis) of the pyrolysis char products shows the correlation of volatilization into the gas and liquid phases and the existence of fixed carbon and other compounds that remain as a solid char. The kinetic parameters were calculated using least square with minimizing sum of error square technique. The results show that the average kinetic parameters of
TDF are the activation energy, E = 1322 ± 244 kJ/mol, a pre-exponential constant of A=
2.06 ± 3.47 x 1010 min-1, and a reaction order n = 1.62 ± 0.31. The model-predicted rate equations agree with the experimental data. The overall TDF weight conversion represents the carbon weight conversion in the sample.
Keywords: Thermogravimetric analyzer (TGA), Tire Derived Fuels (TDF)
34 3.2 Introduction
The use of TDF as a fuel in utility plants is a contentious topic and the potential risks could possibly limit its use. Therefore, any understanding which will clarify the advantage of TDF and minimize the formation of hazardous organic volatile carbons during the combustion of shredded tires will indeed increase the potential of using TDF as a fuel for many industries. The purposes of this study were to: (1) generate kinetic parameters for TDF pyrolysis mechanisms by dynamic heating methods, and (2) generate a temperature profile of carbon weight conversion in the design of the pyrolytic reactor.
The experiments were designed under the hypothesis that changes in the pyrolysis kinetic parameters due to temperature and heating rate can alter the level and generation rate of the pyrolytic products.
3.3 Experimental Method
Details of experimental system and design of the laboratory scale pyrolysis reactor have been discussed in Chapter 2 and are briefly described here. A TGA reactor has been developed at the University of Cincinnati in order to analyze the heterogeneous
TDF samples. The reactor is capable of performing pyrolysis on 3-4 grams of TDF sample, which was found to be a representative amount of the material. The final temperature was held for at least an hour after the final desired temperature was reached.
The change of the sample mass (TG curve) and the derivatives of the mass change (DTG curve) with respect to reaction temperature were recorded simultaneously. The experimental set up contains two categories of the pyrolysis of the TDF: the preliminary study with a commercially available TGA to design the laboratory scale reactor and thermogravimetric experiments to determine the pyrolysis kinetic parameters.
35 3.4 Results and Discussion
3.4.1 Preliminary Experiments to Establish the Reactor Design Criteria
A thermogravimetric analyzer measures changes in weight of a sample with increasing temperature. A representative sample size for any commercially available
TGA is 50-100 mg [1, 2]. The optimum heating rate for solid devolatilization experiments is 10 oC/min. In most cases, the presented results represent the mean of four pyrolysis experiments. The standard deviation of those experiments fall into the range of ±0.5.
The influence of the carrier gases used in the TGA 2050 was investigated by applying nitrogen and oxygen at a flow rate of 0.01 L/min and at identical heating rates.
Thermogravimetric data from the preliminary experiments is presented in Figure 3.1.
100 1.2 100 0.8 TG TG 90 DTG DTG 90
80 80 0.6 70 0.8 70 60
50 60 0.4 dW/dT dW/dT
40 TDF weight loss, %
TDF weight loss, % TDF loss, weight 50 0.4 30 40 0.2 20
30 10
0 0 20 0 0100 200 300 400 500 600 0100 200 300 400 500 600 Temperature, oC Temperature, oC
a) TG-DTG curve of TDF in O2 b) TG-DTG curve of TDF in N2
o Figure 3.1 TG-DTG curves of TDF in O2 and N2, at 0.01L/min, heating rate 10 C/min
36 The DTG plot of this differential provided information on exothermic and endothermic reactions during the pyrolysis. The DTG curve (Figure 3.1b) showed clearly that there was only one area of weight loss when nitrogen gas was used. Nitrogen carrier gas may reduce the extent of secondary reactions such as thermal cracking, repolymerization and recondensation [3]. Therefore, nitrogen gas was selected as the carrier gas in further experiments with the TGA. The influences of heating rate on the decomposition temperature were also investigated. As a result, after the reacting temperature reached 450-500 oC, the decomposition rate was independent to temperature change. Williams[3] analyzed the thermogravimetric pyrolysis of tires and tire components in a static batch reactor in a nitrogen atmosphere and at heating rates between 5 and 80 oC/min. They showed that the thermal decomposition started at 250 oC. Pyrolysis was essentially complete by 550 oC. Above that temperature there was no further weight loss. The heating rate has a significant effect on decomposition temperature.
120
o 110 5 C/min 10 oC/min o 100 20 C/min 25 oC/min 90
80
70
60 TDF weight loss, % loss, weight TDF
50
40
30
20 0100 200 300 400 500 600 700 800 Temperature, oC
Figure 3.2 TG curve of TDF with the variation of heating rates
37 Shown in Figure 3.2, the TG curves shifted to higher temperatures as the heating rate increased. The influence of the nitrogen flow rate to the phase transition of TDF sample obtained from the TGA (N2 0.47 L/min) and the TGA 2050 (N2 0.01 L/min) is shown in Figure 3.3.
1.2 120 0.01 L/min 110 0.01 L/min 0.47 L/min 0.47 L/min 1
100
90 0.8
80 0.6
70 dW/dT
60
TDF weight loss, % 0.4
50
0.2 40
30 0 0 200 400 600 800 1000 20 Temperature, oC 0200 400 600 800 1000 1200 Temperature, oC
a) TG curve b) DTG curve
Figure 3.3 Comparison of the thermogravimetric results
In the commercial TGA, the pyrolysis experiment was performed using nitrogen at a flow rate of 0.01 L/min and at a heating rate of 10 oC/min. A comparison thermogram was prepared from the TGA at the same heating rate of 10 oC/min but at a nitrogen flow rate of 0.47 L/min. As the gas flow rate was increased, the thermal degradation temperature shifted to higher temperature. Qualitative pyrolysis behavior and temperature ranges for TDF degradation in the TGA were in agreement with data obtained from the commercial TGA. The impact of the carrier gas flow rates was similar
38 from both the TGA 2050 and the TGA. Therefore, the use of thermogravimetric data in the TGA was a valid method for the pyrosynthesis study of TDF sample.
3.4.2 Investigation of TDF Decomposition
Thermogravimetry measures the mass loss during the decomposition of the TDF sample as it is heated. A sample pan is usually specifically designed for a small mass of solid samples for thermal decomposition studies. The size of the sample pan on the commercially available TGA limited its application for determining the distribution of pyrolytic products. Pre-trial experiments were operated using the TGA from TA
Instruments, Inc. This proved unsatisfactory since TDF is a heterogeneous material and larger sample sizes were required for analyses. A nitrogen gas flow rate of 0.47 L/min. was determined to be optimum from the pretrial experiments. The thermogravimetric experiments were performed using the TGA on TDF sample sizes of 3-4 g. The gas residence time is the time interval during which a representative element of material actually remains in the reactor [4], mainly determined by the gas velocity and length of the reactor tube [5]. For this section of the experimental work, the gas residence time was determined by the gas velocity (0.24 m/min) and the length of the reactor (0.78 m). As a result, the inert carrier gas flow rate of 0.47 L/min gave the maximum gas residence time of approximately 3.25 min within the reactor.
39
Figure 3.4 Weight conversion at different heating rates from TGA
Figure 3.4 shows the thermo depolymerization curves of the TDF pyrolysis for a sample size of 1-2 mm. The repeatability and precision of the entire analysis process was demonstrated by conducting at least three sets of the experiment for each individual conditions. The TG curves show continuous loss in weight as the temperature increases and become level at temperatures greater than 600 oC. The TGA experiment indicates completion of the pyrolysis process after 600 oC. From the thermogravimetric data, at the temperatures below 300 oC, the temperature was not high enough for the reaction to become significant and thus no weight loss was observed. As the temperature increased from 300 to 600 oC, the evaporation and devolatilization processes were essentially completed. No additional weight loss as a function of temperature was found after 600 oC. The parallel curves indicate that the reaction mechanism was not changed.
40 Williams[6] reported that it resulted from the heat transfer limitation of the sample.
Typically, the elementary consecutive or parallel reactions from the pyrolysis of TDF takes place in the thermal cracking of alkenes[3].
Figure 3.5 shows the derivative of the TG curve which helps to pinpoint the maximum weight loss. An identical peak was evident within the range of 300-500 oC on the derivative curves. Corresponding results were also reported by William and Besler
[3], Chen[7] and Senneca[8]. The data in Figure 3.5 show that low heating rates cause a slower decomposition and the reaction takes place in a more restricted temperature range than at higher heating rates. The consequence is that heat transfer limitations at low heating rates are much lower compared to higher heating rates. The result of this is that kinetic data can be approximated using the lower heating rate data [9].
Figure 3.5 Weight conversion rate at different heating rates from TGA
41
The influence of the heating rate on the degradation temperature was observed at the heating rates: 1, 5, 10, 20, 30, 50 and 100 oC. These degradation temperature results are presented in Table 3.1. The decomposition reaction temperature shifts forward when the heating rate is increased. Increasing the heating rates reduces the overall weight loss, as shown in Table 3.1. The change of thermal degradation has been attributed to the combined effects of heat transfer at different heating rates and the kinetics of decomposition, which results in delayed decomposition [5, 8].
Table 3.1 Influence of various heating rate on degradation reaction temperature
o o o o Heating rate, C/min Ti, C Tm, C Tf, C Wf/Wi, %
1 291.7 351.9 446.4 46.0 5 312.1 369.5 482.8 44.5 10 327.9 378.4 497.3 41.5 20 355.5 418.2 529.1 41.0 30 388.4 459.0 571.3 41.4 50 409.2 526.6 597.2 41.4 100 477.4 555.1 675.7 40.2
From Table 3.1, the initial decomposition temperature (Ti) of the TDF sample is
o o about 290-477 C and the final reaction temperature (Tf) is in the range of 446-676 C for the TDF sample. The peak temperature (Tm) at which the conversion rate is maximum or dW/dT =0 is about 352-555 oC. The results in this work are consistent with the decomposition temperature of processing oil and other rubber compounds which have been reported elsewhere [7, 10, 11].
42 Once the weight loss of the sample was determined, the single rubber decomposition fraction and the kinetic parameters were easily calculated by selecting the
Ti, Tm, Tf from the DTG experiments. However, the position of Tm shows significant overlap between the combined components. It would be difficult to identify Ti, Tm and Tf for individual rubber compounds. However, the overall kinetic parameters, which is found to be more appropriated[11] can be determined from the TG and DTG shown in
Figures 3.4 and 3.5 respectively.
3.4.3 Pyrolysis Kinetic Interpretation of Experimental Data
The mechanisms of pyrolysis include a wide range of different reactions. Not every reaction causes the release of a volatile molecule. Some only cause a change in mechanical properties. During thermogravimetric analysis, only the weight loss is measured during heating, meaning that only those reactions causing the weight loss are considered. Furthermore, because of the system complexity, all reactions are lumped together into an overall reaction. The primary rate expression used to describe depolymerization reaction is the Arrhenius expression using the following equation:
E dX − = Ae RT ()1− X n ------(3-1) dt
Where:
A = The Arrhenius pre-exponential factor
E = The activation energy of the reaction
n = The overall rate constant
R = The universal gas constant; 8.3144 J mol-1 K-1
T = The temperature, K
43 t = Time, min
dX = The derivative of conversion with respect to time; dt
Where:
X = dimensionless weight conversion;
()W −W X = i t ------(3-2) Wt −W f
Where:
Wi = Initial weight
Wt= Weight at any time t
Wf = Final Weight
This rate expression has previously been used successfully to account for the pyrolysis of similar compounds, such as commodity plastics, using data from dynamic weight loss experiments using a thermogravimetric analyzer [9]. Under the dynamic method, the sample is heated at a constant rate. Thereby, the weight loss and the decomposition rate are obtained as a function of temperature and conversion. The advantage of this method is that the kinetic parameters can be obtained from just one experiment; however, these parameters are only able to describe the overall decomposition reaction. It can not be used to study the reaction in detail, like with isothermal methods, because the parameters are determined for the whole temperature range rather than at a specific temperature. Therefore, the parameters have a temperature-average character. This method is more realistic when the experimental reaction conditions are similar to those of a practical application (e.g., a pyrolysis unit).
44 Thus, it is more reasonable to predict the degradation behavior of TDF in a pyrolysis unit by performing experiments with dynamic measurements. Furthermore, this method is also very suitable for a fast overall characterization of decomposition behavior.
By taking natural log on both sides of the equation 3-1, a linear least square regression was used to find the initial kinetic parameters A , E and n:
dX E 1 ln= ln A − + nln()1− X ------(3-3) dt R T E From equation 3-3, the three unknowns – lnA, − , and n – from the R experimental results can be obtained in the linear form:
Y = a + bX1 +cX2 ------(3-4) dX 1 Where, the individual heating rate with ln , and ln(1− X ) were used as the dt T variable parameters. Calculation procedures were performed on Mathematica, a mathematical computing package. The Mathematica program performs a definite and efficient procedure to find which linear or nonlinear combination of a list of functions gives the best least-squares fit to the experimental data[12]. The result was the best linear combination of the functions 1, X1 and X2 . As such, the three variables – lnA, -E/R, and n – were obtained directly from the experimental data. A demonstration of the mathematical program is shown in Appendix A.
The least-square regression technique was applied to determine the initial E, A, and n values. The least-square method was used afterward – minimizing the sum of square of the conversion (SSQ) techniques based upon the initial results from the linear regression. This technique was used to minimize the quantity of the difference between each original data point and the model fitted value. The activation energies of
45 degradation of the TDF samples were determined by adjusting the parameters E, n, and lnA with the best-fit techniques[9]. First, the activation energy was fixed, then the best fit values of n and lnA were estimated by correlation of the least-square method and SSQ technique.
1 N SSQ = ∑()Experimentalconversion − Calculatedconversion 2 ------(3-5) N i=1 Where N was the number of data points used. The one simple Arrhenius expression and the constant heating rate experiments for TDF pyrolysis in the TGA resulted in good agreement with each other. The analysis results for different heating rates obtained from the model and the experimental data are shown in Figure 3.6.
Analysis of Figure 3.6 shows that the initial decomposition time shifts toward the right as the heating rate increases. In other words, increasing the heating rate delays the decomposition step of the TDF due to heat transfer effects.
46 Model 1 oC/min o 0.8 5 C/min 10 oC/min 20 oC/min 30 oC/min o
sion 50 C/min r 100 oC/min
Experiment 1 oC/min 5 oC/min Weight Conve 0.4 10 oC/min 20 oC/min 30 oC/min 50 oC/min 100 oC/min
0
0.1 1 10 100 1000 Decomposition Time, min
Figure 3.6 Plot of TDF pyrolysis versus decomposition time. Symbols are the experimental data, and lines are the calculated data.
Table 3.2 shows the results obtained from the best fit set of parameters that can be found from the minimum SSQ between the calculated conversions and the respective measured conversions. A comparison of pyrolysis kinetics parameters with the various analytical methods is given in Table 3.2. The reaction order and pre-exponential data agree with published data [7, 10, 11, 13]. The difference in activation energies may be due to the fact that those calculated in our tests are based on manufacturer combinations of SBR,
NR, BR and other unknown binding and inhibitor agents, as opposed to pure compound activation energies as shown in the Table 3.2.
47 Notice that Kim [10] and Yang [11] initially assumed the reaction order n = 1 for BR and SBR and n= 2 for NR composition. The activation energy and pre-exponential value were averaged from the various heating rate and the assumed reaction order. Therefore, the activation energy and the pre-exponential data were based on the assumption of reaction order. Chen[7] applied the Arrhenius relation and used the least square method to develop overall kinetic parameters of scrap automotive tire. In his study, the activation energy was averaged from the data collected at various heating rates. Meanwhile, the reaction order and pre-exponential value resulted from the calculated activation energy.
The kinetic parameters that resulted from his studies excluded the effect of different heating rates and cannot give the overall reaction order of thermal degradation at any time. Oh[13] used the multiple heating rate experiment to determine the pre-exponential factor. Although the kinetic parameters for each heating rate were obtained, the results were only slightly affected by the heating rates.
In this study, the weight loss and the degradation rate were obtained as a function of pyrolytic temperature at the individual heating rate. Additionally, the kinetic parameters can be obtained directly from the TGA experimental data.
48 Table 3.2 Kinetic parameters of tire pyrolysis Reaction Pre-exponential factor Activation energy, E Tire sample order, n (A), min-1 (kJ/mol) TDF(least-square &minimizing error square) Heating rate 1 oC/min 1.07 1.32 x 103 751 Heating rate 5 oC/min 1.52 1.29 x 106 1273 Heating rate 10 oC/min 1.46 1.37 x 107 1532 Heating rate 20 oC/min 2.36 1.26 x 1011 1754 Heating rate 30 oC/min 1.94 1.87 x 1010 1523 Heating rate 50 oC/min 1.37 5.73 x 107 1330 Heating rate 100 oC/min 1.60 1.17 x 105 1095 Mean 1.62 2.06 x 1010 1322 Standard deviation 0.42 4.68 x 1010 329 95%, Confidence Interval 0.31 3.47 x 1010 244
Car[7] 1.98 7.57 x 1010 148 Truck[7] 1.63 5.02 x 1010 148
SBR[13] 0.9-1.2 4.3 x 1013 - 4.7 x 1010 238-241 NR[10] 1 3.89 x 1016 207 BR[10] 1 6.32 x 1014 215
Sidewall rubber[10] 1 2.04 x 1014 204 1 2.08 x 1015 195 1 1.44 x 103 42 Tread rubber[10] 1 8.75 x 108 127 1 3.78 x 1016 209 1 9.34 x 102 39
49 The activation energy was calculated throughout the entire degradation reaction.
Therefore, this method is capable of providing the changes in the pyrolysis mechanisms due to a constant heating rate. Nevertheless this method assumes that the degradation occurs via a single nth order reaction mechanism over the entire degradation of a wide range of compounds. The method in this work may be used to predict the degradation behavior of a carbon-hydrogen aggregate in a pyrolysis unit by performing experiments with dynamic measurements. Although the depolymerization throughout this wide temperature range is dependent upon the decomposition of carbon and hydrogen compounds, the ingredients of tires are complicated and contain a number of additives and cross-linkage agents. The kinetics of tire decomposition are initially rate-controlled as surface reactions predominate. However, in the final stages it becomes more diffusion-controlled due to the morphological changes of hydrocarbons [9]. The pyrolysis of numerous long-chain species of rubber compounds, such as polyisoprene in NR and
SBR, may consist of multiple pyrolytic reactions occurring simultaneously and sequentially.
3.4.4 Decomposition of TDF in Different Atmospheres
Average values of kinetic parameters, as in Table 3.2, indicated that these numbers could be used for the design of inert and non-inert atmospheres. However, industrial units may have significantly higher heating rates than those tested here, and one could expect to see differences in kinetic parameters in those units due to heat transfer effects.
The pyrolysis reactor was modified to support combustion experiments. The nitrogen gas was removed. The TDF sample was put inside the heated reactor tube when the temperature reached 600, 800 and 1000 oC. Figure 3.7 compares the results obtained in
50 the different atmospheres at the different heating rates. As shown, the absence of nitrogen accelerates the decomposition taking place at lower temperatures. As presented in Figure 3.7, the decomposition shifts forward to the right as the combustion temperature decrease. In other words, the low temperature delays the degradation process. There is not a great difference between the runs performed under three different temperatures (600,
800 and 1000 oC). From these observations, the decomposition of TDF in non-inert atmosphere appears in two stages. The first-stage decomposition rates in inert and non – inert atmosphere are comparable.
0.8
Pyrolysis 1 oC/min 5 oC/min 10 oC/min 20 oC/min 30 oC/min 50 oC/min Weight Conversion 0.4 100 oC/min Non-Inert 600 oC Non-Inert 800 oC Non-Inert 1000oC
0
0.1 1 10 100 1000 Decomposition Time, min Figure 3.7 Plot of TDF decomposition in inert and non-inert atmosphere versus decomposition time. Symbols are the inert atmosphere, and lines are the non-inert atmosphere
51 However, the second decomposition process in the absence of an inert atmosphere starts at 70% weight conversion and shows a lower decomposition rate than that of the inert atmosphere. With respect to the two fractions in non-inert atmosphere, a high value of decomposition rate at the beginning was obtained as a consequence of the degradation of the rubber and some additive materials in TDF. The slow decomposition rate in the second stage of decomposition corresponds to the carbon black degradation.
3.5 Conclusion
Pyrolysis kinetics of TDF in a TGA have been investigated thermogravimetrically for the constant heating rates of 1, 5, 10, 20, 30 50 and 100 oC/min with nitrogen as the carrier gas. The results show that the degradation temperature range of the TDF is from
352 to 555 oC. The initial reaction temperature increases when the heating rate is increased. Three kinetic parameters – activation energy, pre-exponential factor and reaction order for the TDF – can be determined directly from the Arrhenius equation and the TGA experiment. Given that the thermograph for each particular heating rate of these experiments is unique, the model for the kinetic parameters can be solved by the least- square technique in conjunction with the minimized sum of error square method. Given that the chemical composition of TDF varies, conclusions drawn here may be limited to the specific TDF used in the experiments. The average kinetics parameters of the TDF are: E = 1322 ± 244 kJ/mol, A= 2.06 ± 3.47 x 1010 min-1, and n = 1.62 ± 0.31. These results can be used for the design and operation of a pyrolysis or combustion system that uses shredded tires. However, industrial pyrolysis units may have significantly higher heating rates than those tested here, and differences in kinetic parameters could be expected to be seen in those units due to heat transfer effects.
52 3.6 References
1. Haines, P.J., Principles of thermal analysis and calorimetry, in RSC paperbacks.
2002, Royal Society of Chemistry: Cambridge. p. 10-54.
2. Hatakeyama, T. and Liu, Z., Handbook of thermal analysis. 1998, Wiley:
Chichester ; New York. p. 42-46.
3. Williams, P.T., Besler, S., and Taylor, D.T., The pyrolysis of scrap automotive
tyres : The influence of temperature and heating rate on product composition.
Fuel, 1990. 69(12): p. 1474-1482.
4. Dodds, J., Domenico, W.F., Evans, D.R., Fish, L.W., Lassahn, P.L., and Toth,
W.J., Scrap tires: a resource and technology evaluation of tire pyrolysis and
other selected alternate technologies. 1983, US. Department of Energy: Idaho
Falls, Idaho.
5. Dai, X., Yin, X., Wu, C., Zhang, W., and Chen, Y., Pyrolysis of waste tires in a
circulating fluidized-bed reactor. Energy, 2001. 26(4): p. 385-399.
6. Williams, P.T. and Brindle, A.J., Temperature selective condensation of tyre
pyrolysis oils to maximise the recovery of single ring aromatic compounds. Fuel,
2003. 82(9): p. 1023-1031.
7. Chen, J.H., Chen, K.S., and Tong, L.Y., On the pyrolysis kinetics of scrap
automotive tires. Journal of Hazardous Materials, 2001. 84(1): p. 43-55.
8. Senneca, O., Salatino, P., and Chirone, R., A fast heating-rate thermogravimetric
study of the pyrolysis of scrap tyres. Fuel, 1999. 78(13): p. 1575-1581.
53 9. Heinzel, A., Keener, T. and Khang, S., The pyrolysis behavior of mixtures of
commodity plastics with polyvinyl chloride in a thermogravimetric analyzer.
Archives of Environmental Protection, 2001. 27(3): p. 11-33.
10. Kim, S., Park, J.K., and Chun, H.-D., Pyrolysis kinetics of scrap tire rubbers. 1.
using DTG and TGA. Journal of Environmental Engineering-ASCE, 1995. 121(7):
p. 507-514.
11. Yang, J., Kaliaguine, S., and Roy, C., Improved quantitative-determination of
elastomers in tire rubber by kinetic simulation of DTG curves. Rubber Chemistry
and Technology, 1993. 66(2): p. 213-229.
12. Wolfram, S., The mathematica book. 2003, Wolfram Media: Champaign, IL. p.
722-982.
13. Oh, S.C., Jun, H.C., and Kim, H.T., Thermogravimetric evaluation for pyrolysis
kinetics of styrene-butadiene rubber. Journal of Chemical Engineering of Japan,
2003. 36(8): p. 1016-1022.
54 Chapter 4
4 The Recovery of Pyrolysis By-products and the Removal of Sulfur
4.1 Abstract
Three commercially important pyrolysis by-products from vehicle tires are liquid oil, solid char, and exhaust gas. These products could be contaminated by volatile toxic compounds released from the tire structure before combustion. The release of volatile materials from the tire structure during pyrolysis offers the greatest potential for separation of these compounds from the evolved gases and vapors, as the concentrations of these species are at their greatest in the vapor phase during this period. The influences of heating rate and pyrolysis temperature were investigated. The temperature was studied from 325 to 1000 oC, a range where substantial devolatilization occurs. The results showed that the heating rate and the pyrolysis temperature were the key factors in determining the two pyrolysis yields: condensed oil and gas product. However, the overall desulfurization of the pyrolysis reaction was essentially unaffected by the heating rates.
Keywords: pyrolysis, Tire Derived Fuels (TDF), pyrolysis products, char, oil, gas, desulfurization, devolatilization, sulfur, carbon
55 4.2 Introduction
Since the 1970s, a number of studies have investigated available technology to combust used tires in many industrial scenarios, especially those applications that relate to the use of tire as supplemental fuels. The growing interest in pyrolysis mechanisms of tires has been promoted along with the study of combustion. Pyrolysis has generally been known as the first step of combustion for any solid fuel. Often times, the yields of the three pyrolysis by-products – char, oil and gas – are associated with the pyrolysis conditions. Consequently, market demand of char and oil has increased in recent years.
However, little attention has been given to the influence of heating rate and pyrolysis temperature to the release of others pyrolysis by-products such as sulfur dioxide and volatile hydrocarbons. This study focuses on an understanding of the fundamental features and influences of heating rate and pyrolysis temperature in relation to the recovery of pyrolysis products, the overall carbon distribution, and the desulfurization mechanism.
4.3 Experimental Method
4.3.1 Determination of By-products Recovery
Details of the experimental system and the design of the laboratory scale pyrolysis reactor have been discussed in Chapter 2. A series of experiments was performed for the heating rates of 1, 5 and 10 oC/min. At the end of each pyrolysis experiment, the condensed oil, residual ash, and filter paper were removed. The mass of the residual ash, soot, and condensed oil were determined gravitationally. The mass of the gases was calculated by the difference between residual ash, soot, condensed oil, and the initial
56 weight of the TDF sample. The percent devolatilization for each TDF sample was calculated using the thermal gravimetric data[1, 2] as follows:
W −W %devolatilization = Char TDF ×100 ------(4-1) WTDF Where:
Wchar = the weight of the solid char or pyrolyzed char, g;
WTDF = the weight of the original TDF, g.
Desirable heat recovery in the pyrolyzed char is expressed as following[3]:
%Yield × H %Heat Recovery = pyrolyzed ×100 ------( 4-2) 100× HTDF Where:
Yield = the proportion of the total weight of pyrolyzed product to the total weight of the original TDF;
HTDF = the heat value of the original TDF, Btu/lb;
Hpyrolyzed = the heat values of the pyrolyzed product, Btu/lb.
Similar to the heat recovery, the ash recovery was calculated using the same equation, but the total weight of residual ash and the percent ash of the original TDF were used instead of the heat value.
4.3.2 Determination of Sulfur and Carbon
The pyrolyzed solid char was analyzed for carbon and sulfur and compared to the original parent carbon and sulfur content in the TDF using the ASTM D3172, Standard
Practice for Proximate Analysis of Coal and Coke. The ASTM method was written specifically for the determination of carbon and sulfur in coal and coke, but should be
57 applied to the same analysis of TDF and pyrolyzed TDF as well. The proximate analysis were performed by OKI analytical laboratory; a certified commercial laboratory in
Cincinnati. The derived oil was analyzed for total sulfur content using an Agilent
(Agilent Technologies, Palo Alto, CA) Model 6890 Series gas chromatography equipped with an Agilent G2350A atomic emission detector (GC-AED).
The percentage of removed sulfur was calculated for each sample by comparing the final total sulfur content of each pyrolyzed sample with an initial sulfur value of the original TDF. TDF does not have a fixed composition and its properties vary, therefore, the sulfur content from one TDF sample may differ from one another. The original parent sulfur content in TDF was 2.5% which was found to be the highest value employed in this study. The desulfurization is the percentage change in the amount of sulfur in the TDF when the TDF is pyrolyzed. The percent desulfurization for each pyrolyzed char and derived oil can be calculated using the following equation[1, 3]:
(S − S ) %desulfurization = TDF pyrolzed ×100 ------(4-3) STDF Where:
STDF = the total percent by weight of sulfur content in original TDF;
Spyrolyzed = the total percent by weight of sulfur content in pyrolyzed products.
The initial sulfur value for each sample was calculated by multiplying the weight of the sample prior to pyrolysis by the 2.5% sulfur concentration. In order to determine the relationship between desulfurization and devolatilization, the thermogravimetric data from our previous publication was used. The repeatability and precision of the entire analysis process was demonstrated by conducting at least three sets of the experiment for each individual conditions. The standard derivations for each data set are used to indicate
58 error for that set. Other than that, the presented results represent the mean value of that data set and the 5% standard error.
4.4 Results and Discussion
4.4.1 Recovery of Pyrolysis By-Products
The decomposition of TDF occurred at the degradation temperature range of 350-
500 oC. In addition, all organic compounds except the carbon black were completely released after heating the polymeric materials continuously in a nitrogen atmosphere to about 600 oC [4]. Therefore, the final pyrolysis temperature at 400 -1000 oC was selected for the study of heat transfer effect. The material balances on pyrolysis products in TDF have been shown to vary with respect to the temperature and the heating rate. These correspond to the greater effect of the volatilization process at higher temperatures.
Figure 4.1, 4.2 and 4.3 illustrate the effect of pyrolysis temperature on the mass balance of four pyrolysis products – oil, char, soot, and gas – at a heating rate of 1, 5, and 10 oC/min, respectively. Each bar represents an average of the experimental results from at least 3 replicated experiments based on error bar plots from the standard error of the triplicate data set. From our experiments, the major decomposition of TDF contributed to solid, gas, and oil products, respectively.
59 Oil Char 0.90 Soot Gas 0.80
0.70
0.60
0.50
0.40
0.30
Product Yield, g/g-TDF Yield, Product 0.20
0.10
0.00 400 450 500 550 600 800 1000 Temperature, oC
Figure 4.1 Pyrolysis product distribution with heating rate of 1 oC/min
0.90 Oil Char 0.80 Soot Gas 0.70
0.60
0.50
0.40
0.30
Product Yield, g/g-TDF Yield, Product 0.20
0.10
0.00 400 450 500 600 800 900 1000 Temperature, oC
Figure 4.2 Pyrolysis product distribution with heating rate of 5 oC/min
60
Oil Char 0.90 Soot Gas 0.80
0.70 0.60 0.50 0.40 0.30
Product Yield, g/g-TDF Yield, Product 0.20
0.10 0.00 400 450 500 550 600 800 1000 Temperature, oC
Figure 4.3 Pyrolysis product distribution with heating rate of 10 oC/min
4.4.2 Char
The percent yield of solid char decreases in a linear fashion as the temperature increases. The maximum percentage of char yield was found (~62% wt.) at 400 oC of 10 oC/min, as the maximum weight loss of TDF reported herewith. The average percentage of char yield was approximately 40 wt%, which may refer to 36-45 % wt. of carbon black used in tire manufacturing [5]. The pyrolytic char yield was found to remain fairly constant with a mean of 37-40 % wt. In comparison of Figure 4.1, 4.2 and 4.3, char yield increased as the pyrolysis heating rate decreased. The decrease of pyrolytic char was attributed to the increase in either devolatilization of solid hydrocarbons in the char or the partial gasification of the char. The formation of char from tire pyrolysis is clearly linked to a number of factors, including: temperature, heating rate, and system specific
61 parameters such reactor size, the efficiency of heat transfer from the hot reactor surfaces to and within the tire’s mass, and gas residence time in the hot zone[6]. More char was produced at a lower heating rate because of the non-volatilisation of fixed carbon[12].
4.4.3 Oil
The oil derived from pyrolysis was collected in a condenser trap. It had a yellowish color and a distinctive smell. The mass of oil was found to vary with respect to the temperature. The contribution may correspond to the greater effect of the volatilization process at higher temperatures. As shown in Figure 4.1, the mass of oil drastically dropped almost 50 wt.% when the temperature increased from 400 to 450 oC.
This figure represents the maximum decomposition rate of TDF to pyrolytic oil through the temperature range of 500 to 600 oC. At a temperature range of 400 to 550 oC, the decomposition of waste tire sample was suspected to be the result of the degradation of polymeric materials. At temperatures beyond 600 oC, the production of pyrolytic oil shows almost no difference in mass. This finding can be explained by the thermo- depolymerization aspect of the parent materials of tires. Considering that the degradation temperature of different rubber compounds varies between 300 – 550 oC, the thermo- depolymerization should be completed after 600 oC.
From the experiments, the pyrolytic oil yielded the maximum weight at approximately 550 – 600 oC. The analysis repeatability shows standard deviations in the range of 0.15-0.4. Increasing the temperature from 350 to 600 oC increased the oil yield from 0.15 to 0.4 g/g of initial TDF weight as rubber depolymerization began. From the pyrolysis experiments, more than 50 wt.% of the initial TDF weight was converted to the depolymerization products, which contributed to 30-40 wt.% in oil and 15-25 wt.% in
62 gas. The oil fraction is hypothesized to be splitting into lower molecular weight gas products since the oil yield slightly decreased over the temperature range of 600 oC to
1000 oC. These results agree with another observation that the yield in light depolymerization products increases with respect to heavier compounds as the pyrolysis temperature and heating rate increases. Nonetheless, the oil yield has been reported to be considerably increased under vacuum conditions when compared to atmospheric pressure conditions [7]. The vacuum pyrolysis reactor will result in a short gas and vapor residence time in the reactor.
Analysis of Figure 4.1-4.3 indicated an independence of the depolymerization reactions to the heating rate after the completion of the decomposition at 500 oC. The quantity of pyrolytic oil was much dependent on the heating rate or heat transfer effect at the temperature range of 500 to 800 oC. These findings imply that the depolymerization reactions for a specific temperature range can be one of the major reactions that break down the polymer chains and/or cross-linked molecules of rubber compounds like natural rubber and synthetic rubber.
The effect of heating rates is not clear for the distribution of the other three pyrolysis products: char, gas, and soot. The average fraction of pyrolytic oil increases significantly with an increasing of heating rate. The yield of oil from pyrolysis reached the maximum at 600 oC when heated at 5 oC/min with a high yield of more than 20 wt.%.
Then, the maximum yield of oil was found at 1000 oC when heated at 10 oC/min. Among the three different heating rates, almost twice as much derived oil was obtained at 1 oC/min versus 5 and 10 oC/min. Although the heat transfer effect can not be seen clearly in the mass distribution behavior, the analysis in molecular structure levels of
63 hydrocarbons may become useful in the explanation of this mechanism. It has been reported that a major component of car tires is hydrocarbons, but with significant differences in their chemical molecular structures and mechanical and thermodynamic properties[4, 8]. Heat and energy changes partially depend on the molecular structural change and the intermolecular reactions in the deformation of the original compounds[8].
For example, the internal energy increases during deformations of NR, but varies during that of filled styrene-butadiene rubber vulcanizates[9]. Therefore, the morphology changes of the molecular structure in pyrolysis products should be studied in the future to further understand how to optimize the production of oils.
Similar high yields of oil obtained at the lower temperature have been reported by other investigators. Dai [6], Dodds[8] and Chang[12] reported that pyrolytic oil yields generally decrease with increasing temperature. Dai[6] showed the maximum yield of
50wt.%. to oil to occur at 450 oC in a circulating fluidized-bed reactor. Since there was no obvious mechanism for carbon loss with increasing temperature, it was suggested that a higher pyrolysis temperature volatilizes some of the solid hydrocarbon content of the char[8]. Sharma[13] observed that the conversion of tires was about 69 wt.% in a batch bomb tube heated at 400 oC under 1000 psi hydrogen atmosphere. This corresponds to almost the entire organic portion of the tires. William[4] produced a maximum of 58.8
o wt.% pyrolytic oil at 600 C at the nitrogen flow rate of 0.11 L/min and a heating rate of
80 oC/min. However, this was for a static fixed-bed with very high heating rate compared to the present work.
It was suggested that high heating rates with short hot-zone residence times and rapid quenching of the products favored the formation of liquid products, since the
64 pyrolytic gases and vapors were condensed before further reactions break down the higher molecular weight species into gaseous products[14]. It was also concluded that, to maximize the liquid yield, the primary products should be removed from the hot zone to prevent secondary reactions from occurring. Cunliffe and Williams[15] concluded that the characteristics of primary vapors produced in the pyrolysis process were the most influenced by heating rate. The higher temperature volatizes some of the solid hydrocarbon of the char and decomposed some oil vapors to gases.
4.4.4 Gas
As presented in Figure 4.1-4.3, there was a corresponding increase in the yield of gas from 10 wt.% at 400 oC to 22 wt.% at 600 oC with the heating rate of 10 oC/min.
After the formation of liquid in the pyrolysis processes, the primary vapors degraded to secondary tars and gases. Therefore, at the higher temperature the pyrolytic gas was increased. The decrease in oil yield – which corresponded with increasing temperature and an increase in pyrolytic gas – was previously documented[12]. Leung[16] reported that the increasing yield of gas with higher temperature can be attributed to the thermal cracking of more oil or char as the pyrolysis temperature increased.
The experiment began with samples at room temperature. Some gases may be produced when the temperature of the sample itself is raised. Due to the high heating rate and short residence time, most of the gases are produced at the maximum temperature[17].
The removal of pyrolytic gases from the hot zone reduces the extent of secondary reactions, which are known to increase the yield of char at the expense of oil formation.
65 4.4.5 Distribution of Carbon
Carbon is one of the most important components of manufactured tires. It is also one of the most valuable components of pyrolysis products, especially solid char products. Carbon distribution in the pyrolysis products, with respect to the pyrolysis final temperature and heating rates, was determined in this work. All product quantities are reported herein as the mass of the TDF input on a carbon basis for consistency and ease of comparison. Carbon distribution in TDF show that only approximately 20% of the total carbon from the TDF is found in the derived oil, and the remainder exits the reactor in solid and gas form. A summary of the carbon balances is shown in Figures 4.4 and
4.5.
0.60 Oil Char 0.50 Gas
0.40
0.30
0.20 g-Carbon/g-TDF 0.10
0.00 01234567891011
Heating rate, oC/min
Figure 4.4 Carbon distribution in pyrolytic by-products as function of heating rates
66 0.60 Oil 0.50 Char Gas 0.40
0.30
0.20 g-Carbon/g-TDF 0.10
0.00 400 500 600 700 800 900 1000
Pyrolysis Temperature, oC
Figure 4.5 Carbon distribution in pyrolytic by-products as function of temperature
The deference of total carbon content in the pyrolytic char and in the pyrolytic oil to the total carbon in the TDF sample was considered as the total carbon content in the pyrolytic gas. Analysis of Figure 4.4 shows that the carbon content in the pyrolytic char dominated at all heating rates. The majority of carbons in the TDF were contributed to the solid, liquid oil and gas phase, respectively. The maximum carbon content was derived from the pyrolytic oil at 5 oC/min. Regardless of the heating rate difference or the heat transfer effect, Figure 4.5 shows that the carbon content of the oil tends to decrease as the temperature increases from 600 to 1000 oC. On the other hand, the carbon content of the gas phase tends to increase over the same temperature range.
Similar to Figure 4.1-4.3, the carbon content of the solid char is the highest among the three pyrolysis products, yet shows almost no change with the temperature increase. The carbon decomposition at higher temperatures may result from thermal depolymerization.
The change in carbon content at different heating rates could be the consequence of the
67 heat transfer effect. The carbon distribution shows no significant change with respect to heat transfer effect and thermal depolymerization reaction for the conditions reported here.
Figure 4.6 Temperature profile and weight conversion of TDF and carbon content in pyrolytic char
Figure 4.6 shows the pyrolysis temperature profile of the carbon content in pyrolytic char and the TDF weight conversion at different heating rates. From this limited data set, it is seen that the mass of carbon content in pyrolytic char is not dependent upon heating rates. Therefore, the production of pyrolytic char and carbon is independent of heat transfer for the conditions reported here. However, the overall mass of the products decreases with increasing temperature. In other words, the mass of
68 carbon in the pyrolytic char is determined by thermal depolymerization rather than by heat transfer. The carbon content of pyrolytic char is closely related to the overall depolymerization reaction. From the above results, the rate of carbon conversion on a weight basis can possibly be expressed by the Arrhenius expression.
4.4.6 Removal of Sulfur
TDF samples were subjected to pyrolysis conditions and the percentage removals of sulfur were determined. The analysis results are listed in Table 4.1. Data in Table 4.1 indicated that the percent of sulfur removal drops with the increase in temperature from
350 oC to 400 oC and then increases with the increase in temperature. Up to 65wt.% of the total sulfur was removed at a temperature of 350 oC and a heating rate of 10 oC/min.
The minimum percent of sulfur removal (36-46 wt.%) was found at 400 oC. The total sulfur removal for 1 oC/min was maintained at 45-50 wt.% from 350 to 1000 oC. Lin[2] reported that when pyrolysis temperatures were high, the pore structure of coal collapses, changing the solid fuel matrix structure which inhibits further release of sulfur. The same hypothesis may apply to the release of sulfur from TDF when pyrolysis temperatures were higher than 447, 483 and 497 oC , corresponding to the final devolatilization temperature reported for 1, 5 and 10 oC/min, respectively[10]. It was observed that the volatilization yield increases as the pyrolysis temperature increases, but the heat recovery and ash recovery from the analysis of pyrolyzed char decreases as the pyrolysis temperature increases. The experimental results indicate that there was almost no change in the overall heating value at the different heating rates. However, there was a slight decrease in the overall heating value when pyrolysis temperatures were grater than 400 oC. Figure 4.7 reveals additional experiments for different heating rates. These results
69 show that percent removal of sulfur in the TDF is initially affected by the pyrolysis temperature. However, the results indicate that the overall desulfurization, as well as the rate of desulfurization of the pyrolysis reaction, shows only minor influences of the heating rate. There was a small influence of heating rate, but a significant change in the percent removal of sulfur was only observed when the temperature was higher than 350 oC.
80
70
l 60
50
40
30 1 deg C/min 5 deg C/min Percent sulfurremova 20 10 deg C/min 10
0 325 350 400 500 600 800 1000
Temperature, oC
Figure 4.7 Percent sulfur removal at different heating rates
70 Table 4.1 The analysis results of TDF samples subjected to pyrolysis conditions
Heating rate, Temperature, oC/min oC Desulfurization, % Devolatilization, % Heat Recovery, % Ash Recovery, % 350 49.4 40.1 54.4 52.9 400 46.1 51.0 38.0 42.0 500 49.3 55.0 29.7 34.2 1 600 53.0 60.1 28.2 33.7 800 50.1 61.8 27.7 31.4 1000 52.5 61.2 28.5 32.0 350 55.5 41.4 45.5 57.7 400 38.9 37.9 50.4 59.0 500 45.3 58.2 30.7 34.4 5 600 34.5 51.5 34.1 41.7 800 48.0 60.6 28.1 32.4 1000 47.7 60.5 29.6 31.9 350 64.3 40.8 45.6 57.3 400 36.0 33.6 58.7 59.6 500 44.8 56.3 31.4 37.0 10 600 41.0 53.6 31.3 39.2 800 48.6 60.1 29.0 32.4 1000 46.2 60.4 28.5 33.7
71 The graphical representations of the sulfur contents in the solid char, oil, and TDF are shown in Figure 4.8, and those of the sulfur removals as a function of devolatilization are shown in Figure 4.9. Our investigation indicated that the overall derived-oil yield was essentially unaffected by the heating rate of the pyrolysis condition[11]. However, the maximum oil yields were found at the heating rate of 5 oC/min, and so the pyrolysis experiments for the derived oil were performed at that specific heating rate. In the GC-
AED experiment, the sulfur contents of derived oil with regardless of speciation were determined. Analysis of Figure 4.8 shows that the initial percent of sulfur was determined to be less than 0.2 wt.% at 400 oC and increased rapidly to about 2 wt.% with the increase in temperature. Figure 4.8 reveals that within 350-850 oC, also called the devolatilization range of the TDF, the majority of sulfur remains in the pyrolyzed char rather than being released into the condensed vapor phase. The percent of sulfur in the derived oil and pyrolyzed char increases with the increase in temperature, maximizes at
450-500 oC, and then seems to remain constant. When the reaction temperature increases, the amount of decomposable organic compound, including sulfur and gaseous products, increases. As such, when the reaction temperature was higher than 500 oC, the decomposition of fixed carbon increased slightly, and the derived-oil production was increased. Sulfur in the TDF derived oils has also been reported by other researchers.
For example, Cunliffe and Williams[4] reported concentrations of 1.3-1.4 % by weight of
TDF for sulfur in the oil derived from the pyrolysis of TDF at 20 oC/min in the range
450-600 oC. Murena [12] reported only 1 wt.% of sulfur present in the liquid product derived from the pyrolysis of TDF in an autoclave at 380 and 400 oC. The same study also showed that as the pyrolysis temperature increased, there was an increase in the
72 concentration of sulfur in the pyrolyzed char. At two stages, thermal cracking of TDF as a function of temperature may be used to explain this phenomenon[13]. First, the TDF was depolymerized at a temperature of less than 500 oC. In this phase, the rapid dissolution of the TDF occurred and the weakest bonds were broken. Second, the rubber was devolatilized at a temperature of more than 600 oC. At this stage, the release of volatile compounds, including sulfur compounds, took place in the derived oil. Mainly sulfur retained in pyrolyzed char but maximized in the derived oil at lower temperature, whereas the post-cracking reaction explained the decrease of sulfur compounds in the derived oil at higher temperatures. The consumption of sulfur compounds at higher
[12] temperatures has also been shown to produce H2S during coal liquefaction .
5 Derived Oil Char TDF 4
3
Sulfur, % Sulfur, 2
1
0 250 350 450 550 650 750 850
Pyrolysis Temperature, oC
Figure 4.8 Percent sulfur in derived oil and pyrolyzed char compare to the original parent sulfur content in TDF versus pyrolysis temperature
73
Figure 4.9 Percent sulfur removal versus percent devolatilzation and the rate of sulfur removal as a function of volatiles
Figure 4.9 shows that, generally, the percent of sulfur removal tends to increase with the increase in percent of devolatilization. By assuming the first order reaction of sulfur decomposition rate similar to the percent devolatilization[1, 2, 12], the rate of sulfur removal as a function of volatiles was developed. Fitting an exponential equation to the plot of experimental data [1] resulted in the rate of removal of sulfur as a function of volatiles as presented in Figure 4.9. By maximizing the regression coefficient of a specific set of conditions, the slope of the linearization provides an approximate value of
74 1. Upper limit value of desulfurization was obtained assuming that all sulfur present in the TDF released into pyrolyzed char. During the 325-400 oC, dissolution of TDF in the liquid phase took place by rupturing of the weakest bonds[12]. This agrees with the results
[12] in Figure 4.7 that many S-bonds were broken with the release of H2S in the gas phase , so that the sulfur content was found more in the pyrolyzed char than that in the derived oil.
Figure 4.10 Percent sulfur removal (%DeS) and percent ash recovery (%Ash) versus percent devolatilization (%DeV)
75 The data in Figure 4.9 indicate that the rate of sulfur evolution as a function of volatiles decreases with as increase of pyrolysis temperature. The maximum rate occurred as a level of devolatilization less than 10%. Figure 4.10 reveals that the percent ash recovery decreases exponentially with the increase in the percent devolatilization. The percent removal of sulfur was proportional to the percent of devolatilization. This may be due to the fact that desulfurization products were entrained less at lower temperature, whereas at higher temperatures devolatilization increased desulfurization.
4.5 Conclusion
Overall recovery rates for solid char, gas, and derived oil at different temperatures are 40% , 22% and 15% , respectively. The percentage of the char and gas products increases as the pyrolysis temperature increases. However, after the reaction temperature approaches 450 to 500 oC, the degradation rate of TDF sample in the thermogravimetric experiments was independent of the temperature. The distribution and percent removal of sulfur in char and derived oil obtained from vacuum pyrolysis of used tires were investigated. The interesting factors in this study were heating rate and temperature. The majority of sulfur in TDF remained as solid char rather than being released as condensed vapor within the range of 350 to 850 oC. The overall desulfurization of the pyrolysis reaction was essentially unaffected by the heating rate. The release of sulfur from the tire structure during pyrolysis offers the greatest potential for the separation of sulfur dioxide from the evolved gases and vapors.
76 4.6 References
1. Merdes, A.C., Keener, T.C., Khang, S.-J., and Jenkins, R.G., Investigation into
the fate of mercury in bituminous coal during mild pyrolysis. Fuel, 1998. 77(15):
p. 1783-1792.
2. Lin, L., Khang, S.J., and Keener, T.C., Coal desulfurization by mild pyrolysis in a
dual-auger coal feeder. Fuel Processing Technology, 1997. 53(1-2): p. 15-29.
3. Kawatra, S.K. and Eisele, T.C., Coal desulfurization : high-efficiency preparation
methods. 2001, Taylor & Francis: New York. p. 9-43.
4. Cunliffe, A.M. and Williams, P.T., Composition of oils derived from the batch
pyrolysis of tyres. Journal of Analytical and Applied Pyrolysis, 1998. 44(2): p.
131-152.
5. Waddell, W.H., Bhakuni, R.S., Barbin, W.W., and Sandstrom, P.H., Pneumatic
Tire Compounding, in The Vanderbilt rubber handbook, Ohm, R.F., Editor. 1990,
Published by R.T. Vanderbilt Company Inc.: Norwalk, CT. p. 596-611.
6. Senneca, O., Salatino, P., and Chirone, R., A fast heating-rate thermogravimetric
study of the pyrolysis of scrap tyres. Fuel, 1999. 78(13): p. 1575-1581.
7. Pakdel, H. and Roy, C., Simultaneous gas chromatographic--Fourier transform
infrared spectroscopic--mass spectrometric analysis of synthetic fuel derived from
used tire vacuum pyrolysis oil, naphtha fraction. Journal of Chromatography A,
1994. 683(1): p. 203-214.
8. Godovskii, Y.K. and Bessonova, N.P., The entropies and energies of deformation
of elastomers based on natural rubber blends with ethylene-propylene
copolymers. Polymer Science U.S.S.R., 1977. 19(12): p. 3155-3163.
77 9. Suzuki, N., Ito, M., and Yatsuyanagi, F., Effects of rubber/filler interactions on
deformation behavior of silica filled SBR systems. Polymer, 2005. 46(1): p. 193-
201.
10. Unapumnuk, K., Keener, T. C., Khang, S., and Lu, M., Pyrolysis Behavior of Tire
Derived Fuels at Different Temperatures and Heating Rates. The Journal of Air
and Waste Management Association, 2006.56:p. 618-627..
11. Unapumnuk, K., Lu, M. and Keener, T. C., Carbon Distribution from Pyrolysis of
Tire Derived Fuels. Industrial & Engineering Chemistry Research, 2006. (In
reviews).
12. Murena, F., Kinetics of sulphur compounds in waste tyres pyrolysis. Journal of
Analytical and Applied Pyrolysis, 2000. 56(2): p. 195-205.
13. Cypress, R. and Bettens, B., Production of benzoles and active carbon from waste
rubber and plastic materials by means of pyrolysis with stimultaneous port-
cracking, in Pyrolysis and gasification, Ferrero, G.L., Editor. 1989, Elsevier
Applied Science: London ; New York. p. 209-229.
78 Chapter 5
5 Hydrocarbons Composition from the Pyrolysis Products
5.1 Abstract
Products from the pyrolysis of Tire Derived Fuels (TDF) were investigated with various analytical techniques and under various maximum pyrolysis temperatures and heating rates. The pyrolysis products are classified as char (solid product), pyrolytic oil (liquid) and gas. Principal functional groups of the TDF and pyrolytic oil were confirmed by
Fourier Transform Infrared Spectrometer, coupled with attenuated total reflectance (FT-
IR/ATR). The components of the pyrolytic oil fraction were individually quantified using gas chromatography coupled with mass spectrometry (GC-MS). The major products are one- and two-ring methyl-substituted aromatic isomers. By-product formation mechanisms of TDF pyrolysis were hypothesized based on the products identified. The mechanisms for aromatic hydrocarbon formation were found to be associated with polymer degradation, methyl displacement, and the Diels-Alder reactions.
Our study indicated that GC-MS coupled with FTIR is sufficient to investigate the semi- volatile and volatile organic species from complex polymeric materials such as tires.
Keywords: Tire Derived Fuels (TDF), Polycyclic Aromatic Hydrocarbons (PAHs),
Hydrocarbons
79 5.2 Introduction
The purposes of this study were: (1) to generate a temperature profile of aromatic hydrocarbons and isomers using a laboratory scale pyrolysis unit; (2) where possible, to render fundamental knowledge related to aromatic ring formation from the controlled pyrolysis of shredded tires; and (3) in order to utilize the pyrolytic oils as refining feedstock, to obtain comprehensive data on the chemical properties of these oils. Despite numerous studies on the pyrolysis of TDF, very few have reported the temperature series of the product decomposition, mass balance, and speciation changes of the aromatic hydrocarbons in the pyrolytic oils. Therefore, our experiments were designed to study changes in the pyrolysis temperature, heating rates, the resultant changes in the composition of the aromatic compounds in pyrolytic oils, and the overall mass balance on carbon basis.
5.3 Experimental Method
Details of the experimental system and the design of the laboratory-scale pyrolysis reactor have been reported in Chapter 2 and are briefly described here. A laboratory- scale vacuum pyrolysis reactor was developed at the University of Cincinnati for this experiment. The schematic diagram of the pyrolysis reactor is shown in Figure 5.1. The reactor was designed to perform the pyrolysis of the heterogeneous TDF samples. A representative amount of material for this study was found to be 3-4 grams of TDF on a steel wire-free basis[1].
80
Figure 5.1 Schematic diagram of the vacuum pyrolysis reactor
The carbon content of the pyrolysis products was measured. The carbon content of the TDF materials and the pyrolytic char was determined using ultimate and proximate analysis. The pyrolytic oil and TDF samples were instrumentally examined for organic hydrocarbons and other compounds. Organic functional groups in the TDF and pyrolysis samples were obtained by a Fourier Transform Infrared Spectrometer (FT-IR, Nicolet
Mogna 760) coupled with attenuated total reflectance (ATR). The soluble organic fragments in the pyrolytic oil were analyzed via gas chromatography coupled with mass spectrometry (GC-MS). The system consisted of a GC (Varian Model CP-3800) with a capillary column (CP-Sil 8 CB Low Bleed/MS), an auto sampler (CP-8400) and a mass
81 spectrometer (Saturn 2200). The EPA standard analytical method 525 was modified slightly for our analysis.
5.4 Results and Discussion
5.4.1 Principal Functional Structures of TDF
Today, tires are made from a mixture of natural rubber (NR), which is polyisoprene[2], and synthetic rubber, which is mostly styrene-butadiene rubber (SBR).
Butyl rubber is generally used in liners due to its impermeability to air[3]. Tires are insoluble in organic solvents and, therefore, the individual components can not be identified by our experimental setup. Only the principal functional groups can be obtained from FTIR. Figure 5.2 shows an IR spectra of the TDF materials using FT-
IR/ATR. Analysis of Figure 5.2 indicates that the main component of TDF is a combination of hydrocarbons at the fingerprint region from 400 – 1600 cm-1. A medium absorption peak in the region 675 to 730 revealed a –CH=CH-(cis) structure, and a medium absorption peak in the region 960 to 970 indicated a –CH=CH-(trans) in a ring structure[4]. A variable absorption peak in the region 1000-675 confirmed a C-H bond type for alkenes[5]. The FTIR results are consistent with the raw material composition.
82
Figure 5.2 IR Spectrum of TDF
5.4.2 Principal Functional Structures of Pyrolytic oil
Figure 5.3 shows an example of IR spectra of the pyrolytic oil obtained at 500 and 800 oC at a heating rate of 5 oC/min. Figures 5.3a and 5.3b indicate that the main component of pyrolytic oil is a combination of olefinic groups and aromatic rings, which are represented by the C=C bond, C-H stretching vibration, and C-H bending vibration. The approximate frequencies for hydrocarbon-substitute olefins and hydrocarbon-substitute heteroaromatic rings are given in Table 5.1.
The observation of weak absorption peaks at 965 cm-1 revealed a strong –
CH=CH-(trans) in conjugation to polyenes[6]. A strong absorption peak in the region of
2960-2850 cm-1 and an absorption peak in the region of 1470-1350 cm-1 revealed the C-H stretching vibration and the C-H bending vibration respectively[7]. A medium absorption peak in the region of 1600-1450 cm-1 indicated a C=C in aromatic ring[4]. A weak or absent absorption peak in the region of 1678-1668 cm-1 indicated a C=C stretch in IR[7].
83
a) Pyrolysis temperature at 500 oC
b) Pyrolysis temperature at 800 oC
Figure 5.3 IR Spectrum of pyrolytic oil heated at 5 oC/min and, a) maximum pyrolysis temperature 500 oC, b) maximum pyrolysis temperature 800 oC
84 A variable absorption peak in the region 1000-675 cm-1 confirmed a C-H alkene bond type[5]. However, the presence of a weak absorption peak in the region of 1600 to1700 cm-1 and 3737 cm-1 may have resulted from either the -OH impurity in the sample or the
KBr[8].
Table 5.1 Approximate FTIR frequencies for hydrocarbon-substituted olefins and heteroaromatic rings
Functional group Bond Type Wave range, cm-1
CH-CH C-H stretch alkanes 2960-2850 (s)[5] C=C C=C stretch alkenes 1680-1620 (v) [5] C=C 1600-1450(v) Aromatic C-H 1470-1350 (s)[5]
[7] C-H CH3 or CH2 bend alkanes 1380-1370 (v)
C H CH stretch 3050-3000 (m) C=C stretch 1678-1668 (w) H C tran CH 980-965(s)[8] CH stretch 3050-3000 (m) C C C=C stretch 1662-1631 (m) CH bend 1429-1397(m) H H cis CH 650-730(m,s)[8] C=C-H out of plane bend alkenes 790-840 (s) [9]
R 1604±3
R R mono, ortho, and meta 1510-1470 benzene 770-730
[8] 710-690 s = strong absorption w = weak absorption m = medium absorption v = variable absorption
85 IR analysis has identified many more functional groups in the pyrolytic oil than in the
TDF, which clearly suggests the existence of the aromatic structures. The individual compounds in the pyrolytic oil were identified by GC-MS.
5.4.3 Individual Hydrocarbons Composition of Pyrolytic oil
The total ion chromatogram (TIC) of pyrolytic oil is shown in Figure 5.4. The identified individual compounds and isomers are numbered, and the chemical structures are listed in Table 5.2. The identified individual compounds and isomers were quantified based on the two most abundant ions, known as selective ion count mode (SIC).
However, the quantification of individual compounds based on the total ion count mode
(TIC) was presented in Appendix B. The compounds listed were classified based on molecular weight and functional groups. For example, C2-benzene referred to benzene with two carbon substitution (molecular weight: 106), which included three possible isomers: o-xylene, p-xylene and ethybenzene. Pure chemical compounds were acquired to obtain calibration curves. In cases where a pure standard was not available, the response factor of the isomer, or a compound with a similar structure, was used. The relative mass of the individual compounds (on a carbon basis) was calculated and divided by the mass of TDF input to become a relative quantity that is comparable to others throughout the temperature range.
86
Figure 5.4 The total ion chromatogram of pyrolytic oils at pyrolysis condition of 5 oC/min and a maximum temperature of 500 oC. The chemical structures of the numbered group(s) are further identified by GC-MS in Table 5.2.
87 Table 5.2 The major products in the pyrolytic oil identified by GC-MS
Concentration of Carbon, μg-C/g-TDF Peak No.* Functional Group Compound Name Molecular Weight Molecular Formula 400 oC 500 oC 600 oC 800 oC 1000 oC
Benzene, 1,2 dimethyl 106 C8H10 39 NA 1354 NA NA
1 C2-Benzene (3) EthylBenzene 106 C8H10 NA NA 594 527 141
Benzene, 1,4 dimethyl 106 C8H10 NA NA 4714 4263 1008
2 C0-Styrene (1) Styrene 104 C8H8 NA 3473 841 896 326
Benzene, (1-methylethyl) 120 C9H12 NA 2427 332 310 144
trimetylBenzene (isocumene) 120 C9H12 NA 389 114 114 65
trimethylBenzene (cumene, Isopropylbenzene) 120 C9H12 NA NA NA 662 274
trimethylBenzene (Benzene, 1-ethyl-2-methyl) 120 C9H12 NA 5444 1508 1971 752 3 C3-Benzene (8) trimethylBenzene (Benzene, 1 methylethyl) 120 C9H12 NA NA 312 338 156
trimethylBenzene (Bennzene, 1-ethyl-4-methyl) 120 C9H12 NA 775 224 226 125
trimethylBenzene (Bennzene, 1,2,3-trimethyl) 120 C9H12 22 3536 1154 1194 649
trimethylBenzene (Bennzene, 1,2,4-trimethyl) 120 C9H12 5 2669 904 838 462
1-Isopropyl-2-methylbenzene 134 C10H14 447 44052 17521 18456 10038
methylpropyl-Benzene 134 C10H14 NA 1133 305 384 237 4 C4-Benzene (4) methylpropyl-Benzene 134 C10H14 27 6391 2320 2460 1402
methylpropyl-Benzene 134 C10H14 NA 2469 807 937 578
1,3-Cyclohexadiene, 1,5,5,6 tetramethyl 136 C10H16 NA 6741 1643 1683 545
1,5, 5-Trimethyl-6-Methylene-Cyclohexene 136 C10H16 52 11158 3386 3821 1696
1,3-Cyclohexadiene, 1,3,5,5 tetramethyl 136 C10H16 83 14842 4429 4807 2057
5 C4-Cyclohexene (7) Terpinolene 136 C10H16 71 14583 4483 5233 2839
4-Isopropenyl-1-methyl-1-cyclohexene 136 C10H16 1009 148413 46189 50884 29404
Terpinolene 136 C10H16 360 34668 13706 12946 9430
Terpinolene 136 C10H16 NA NA 2655 2232 1901 *The peak numbers denote compound(s) marked in Figure 5.4, and the numbers in parentheses refer to the number of isomers identified.
88 Table 5.2 The major products in the pyrolytic oil identified by GC-MS (Con’t)
Concentration of Carbon, μg-C/g-TDF Peak No.* Functional Group Compound name Molecular Weight Molecular Formula 400 oC 500 oC 600 oC 800 oC 1000 oC
Styrene, 3,4-dimethyl 132 C10H12 50 NA NA NA NA
Styrene, α 2 dimethyl 132 C10H12 NA 15125 5710 5668 3503
6 C2-Styrene (5) Styrene,dimethyl (Benzene, 4-ethenyl-1,2-dimethyll) 132 C10H12 NA NA 1286 1210 846
Styrene,dimethyl (Benzene, 1 -ethenyl-4-ethyl) 132 C10H12 17 NA NA NA NA
Styrene,dimethyl (Benzene, 2-methyl-1-propenyl) 132 C10H12 NA 4790 2082 1790 1222
Benzene,1-methyl-4-(1-methylpropyl) 148 C11H16 NA 1347 486 389 230
Benzene, 1-ethyl-4-isopropyl 148 C11H16 NA 680 282 NA NA
1,4-Dimethyl-2-isopropylbenzene 148 C11H16 NA NA 190 NA NA 7 C5-Benzene (6) Benzene,1-ethyl-4-(1-methylethyl) 148 C11H16 NA NA NA 212 NA
1,3-Dimethyl-4-isopropylbenzene 148 C11H16 NA NA NA NA 137
C5-Benzene 148 C11H16 NA NA NA 372 307
Indan, 2,2-dimethyl 146 C11H14 NA 2778 1280 1215 787 Indan, dimethyl 146 C11H14 38 5652 2679 2399 1636 8 C2-Indan (5) Indan, 4,7-dimethyl 146 C11H14 66 5787 2684 2565 1739 Indan, 4,7-dimethyl 146 C11H14 NA 2612 1222 1047 NA C2-Indan 146 C11H14 NA NA NA NA 756
C3-Indene 158 C12H14 NA NA NA 912 789
9 C3-Indene (3) trimetylindene 158 C12H14 NA NA 6850 5134 3697
1,1,3-Trimethylindene 158 C12H14 NA 4410 2500 1701 1199
Naphthalene,1,4-dimethyl 156 C12H12 NA NA NA NA NA
10 C2-Naphthalene (3) Naphthalene,1,3-dimethyl 156 C12H12 NA 1166 757 NA NA
Naphthalene,1,2-dimethyl 156 C12H12 NA NA NA 558 407
11 C3-Naphthalene (1) Naphthalene,2,3,5-trimethyl 170 C13H14 52 7965 7341 5340 3709
12 C4-Naphthalene (1) Naphthalene, tetra-methyl 184 C14H16 13 1707 2416 1779 1617
Total 2,359 357,183 147,260 147,473 86,809 *The peak numbers denote compound(s) marked in Figure 5.4, and the numbers in parentheses refer to the number of isomers identified. 89 Styrene and benzene isomers mainly eluted during the first 10 minutes of the chromatogram (m/z 78 is the characteristic fragment ion peak), followed by C2-, C3-, and
C4-, substituted benzenes (m/z 91, 105, and 119, respectively), cyclohexene isomers (m/z
121, 136), indan (m/z 131), and finally, naphthalene derivatives (m/z 156, 170, 189).
Isomers of substituted aromatic hydrocarbons usually had similar mass spectra and were easily grouped by the selective ion search method. The mass spectra of trimethyl- benzene and ethylmethyl-benzene are shown in Figure 5.5 as an example .
Figure 5.5 Isomeric mass spectrum of trimethyl benzene and ethylbenzene
90
The complexity of the pyrolytic oil is indicated by the many isomers identified.
Oftentimes, the pattern shows one prominent isomer peak followed by several smaller peaks. Table 5.3 lists the most abundant isomers for all the temperatures and their relative fractions. The most abundant isomers contributed, on average, 64% of all of the functional groups. Exceptionally, 1-ethyl-2-methylbenzene, contributed only 34% of all of the functional groups. The C4-cyclohexene isomers are shown in Figure 5.6 as an example of this pattern. More than 80% of the C4-cyclohexene isomers are identified as
4-Isopropenyl-1-methylcyclohexene (also known as limonene), which was the most abundant of all. One of the isomers was identified as trimethyl-methylene-cyclohexene, which may be formed by the addition reaction of alkenes during pyrolysis[10].
Table 5.3 The most abundant isomeric structure identified by GC-MS
Contribution percentage of all the Peak No.* Most Abundant isomer possible isomers
1 Benzene, 1,4 dimethyl 79 2 Styrene NA 3 Benzene, 1-ethyl-2-methyl 34 4 Benzene, 1-Isopropyl-2-methyl 82 5 Cyclohexene-4-Isopropenyl-1-methyl 87
6 Styrene, α 2 dimethyl 69 7 Benzene,1-methyl-4-(1-methylpropyl) 53 8 Indan, 4,7-dimethyl 48 9 Indene, trimethyl 58 10 Naphthalene,1,3-dimethyl 67 11 Naphthalene,2,3,5-trimethyl NA 12 Naphthalene, tetra-methyl NA
NA: Not applicable, one isomer is identified. * The peak numbers denote compound(s) marked in Figure 5.4.
91
Quantitatively, the total identified products in the derived oils (as shown in Table 5.2) increased from 0.24 wt. % at 400 oC to 35.7 wt. % at 500 oC, then decreased drastically to about 15 wt.% between 600 and 800 oC, then further reduced to less than 10 wt.% at 1000 oC. The GC-MS results have indicated that the majority of compounds were methyl- substituted aromatic hydrocarbons with multiple isomers. All of the compounds reached their maximum quantity at 500 oC and tend to decrease as temperature increases.
Cyclohexene (~58%) and benzene (~26%) were the most abundant functional groups in the pyrolytic oil.
Figure 5.6 The C4-Cyclohexenes in the pyrolytic oil from selective ion chromatogram: pyrolysis condition of 5 oC/min and the maximum temperature of 500 oC. 1). 1,5,5,6- tetramethyl, 1, 3-Cyclohexadiene; 2). 1, 5, 5-trimethyl-6- methylene-Cyclohexene; 3). 1,3,5,5-tetramethyl 1,3-Cyclohexadiene; 4). Terpinolene; 5). 4-Isopropenyl-1-methyl-1-cyclohexene; 6). Terpinolene; 7). Terpinolene
92
The most abundant group of isomers contains the seven C4-cyclohexene isomers, as quantified in Table 5.3 and Figure 5.6, which contribute to more than 50% of the total identified products. Limonene is the most abundant of all. Limonene and other cyclohexene isomers suggests the depolymerization of the natural rubber, which is mainly polyisoprene, followed by the Diels-Alder reactions to form the ring structure from aliphatic components[11-13].
The aromatization caused by a Diels-Alder-type reaction – involving pyrolysis of alkanes to alkenes and subsequent cyclisation to aromatic compounds – has been studied as a route to PAH formation in the post-cracking reaction of the rubber materials [10, 14, 15].
A decrease in mono-ring aromatic compounds between 600 oC and 900 oC was reported as a result from the post-pyrolysis cracking of olefins by the Diels Alder reaction [16, 17].
Cunliffe [14] supported the Diels-Alder mechanism of alkane dehydrogenation to alkene, followed by cyclisation and aromatization by the results of pyrolytic gas analysis. The pyrolysis model for aliphatic compounds was proposed as a route to naphthalene formation by the Diels-Alders reaction in post-pyrolysis cracking reactions, as illustrated in Figure 5.7 [15].
H2C H2C CH2 + + 2 H2
H2C +
CH2
CH 2
Figure 5.7 Diels-Alder reaction for the formation of naphthalene in scrap tire pyrolysis[15]
93
The additional reactions took place at a carbon-carbon multiple bond, or carbon- hetero atom. Multiple bonds, in conjunction with some rearrangement, cause the formation of unsaturated cyclical compounds with six carbons, such as cyclohexene.
Further dehydrogenation at higher temperatures results in a more stable compound, such as saturated aromatic compounds like benzene. In these reactions, the unsaturated ring may further react with the carbon-carbon multiple compounds to produce aromatic derivatives corresponding to polycyclic hydrocarbons. As a result of further aromatization reactions, this may lead to the formation of naphthalene. Several studies suggested that the continuous formation of naphthalene, followed by condensation reactions, may continue to produce higher amounts of PAH [14, 15, 18].
The decomposition of natural rubber also provides a pool of methyl radicals that can add to other aromatic byproducts to result in a series of methylated isomers. The methyl radicals may be initially formed through bond scission, followed by hydrogen displacement of the methyl group from the base compound as the pool of hydrogen builds up from the pyrolytic process. The second most abundant product at 500 oC was the C4- benzene isomers. C4-benzene isomers were formed in high concentrations at 500 oC and decreased as temperature increased. Similar trends have been observed for C2-benzenes and C3-benzenes, which may be the result of the thermal degradation of limonene in oils[14], or the loss of methyl groups from the C4-benzenes. Styrene has been identified in minor quantities. The formation of styrene can be resultant from the depolymerization of the synthetic rubber fraction, which is mainly the styrene butadiene polymer.
Naphthalene, indan, and indene could be produced from cyclisation reactions of alkyl benzenes[19]. These compounds, together with the alkylbenzenes, were the principal tire-
94 pyrolysis oil products derived from the degradation of the styrene butadiene rubber.
Styrene, naphthalene, and indan contributed to approximately 16% of the total functional groups in the pyrolytic oils.
Different operating conditions, such as temperature, pressure, heating rate, and residence time can result in vastly different byproduct formation. In this study, we were not able to identify PAH compounds with more than three aromatic rings. This may be due to several factors. As indicated by other similar studies, the vacuum pyrolysis process results in less residence time, as well as less pyrolysis by-products [20, 21]. The reduction of these monoaromatic products tends to result in lower quantities of the heavier PAH compounds. Although TDF pyrolysis has been performed at higher temperatures, such as 800 and 1000 °C, the pyrolytic oil collected has been much lower in quantity. It is possible that the depolymerization process at higher temperatures results in increasingly higher soot formation (which is measured as char). As with our studies of the methylnaphthalenes, the starting material with alkylated components (such as TDF) tended to result in less heavy PAH, partly due to the reactivity of the aliphatic components (such as the methyl and ethyl groups)[18].
5.5 Conclusion
The pyrolysis of TDF yielded a complex mixture of hydrocarbons in the pyrolytic oil, along with gaseous and char products. The principal functional groups of the oils appeared to be the olefinic groups and aromatic hydrocarbon rings and were fairly independent of the heating rates. However, the pyrolytic oil composition depended quantitatively on the final pyrolysis temperature. The quantity of the byproducts reached the maximum concentration at 500 oC and then started to decrease with temperature. The
95 major products include alkylated isomers of cyclohexene, benzene, and naphthalene, as well as indan and styrene. This study has shown that a pyrolysis reactor can be designed and operated to produce specific products from used tires under certain operating conditions, such as temperature, pressure, and residence time, etc. Pyrolysis conditions can be altered to maximize the quantity of the pyrolytic oil but minimize the quantity of the aromatic ring hydrocarbons composition.
5.6 References
1. Unapumnuk, K. and Keener, T. Kinetic Study of the Degradation Temperature vs.
Weight Loss in the Pyrolysis of Tire Derived Fuels. in A&WMA's 97th Annual
Conference &Exhibition. 2004. Indianapolis, IN.
2. http://www.pslc.ws/mactest/isoprene.htm, accessed Dec. 2005.
3. http://www.dnr.state.oh.us/recycling/awareness/facts/tires/thruwwii.htm, accessed
Dec. 2005.
4. Crews, P., Rodr ํguez, J., and Jaspars, M., Organic structure analysis. 1998,
Oxford University Press: New York. p. 317-347.
5. Ege, S.N., Organic chemistry : structure and reactivity. 1994, D.C. Heath:
Lexington, Mass. p. 376-393.
6. Colthup, N.B. and Orloff, M.K., Calculation of infrared group frequencies from
molecular orbital theory--I : Out-of-plane CH2 and CH bending vibrations in
substituted ethylenes. Spectrochimica Acta Part A: Molecular Spectroscopy,
1971. 27(8): p. 1299-1314.
7. Silverstein, R.M., Webster, F.X., and Kiemle, D.J., Spectrometric identification of
organic compounds. 2005, J. Wiley & Sons: Hoboken, N.J. p. 3-164.
96
8. Colthup, N.B., Daly, L.H., and Wiberley, S.E., Introduction to infrared and
Raman spectroscopy. 1990, Academic Press: Boston. p. 247-288.
9. Arjunan, V., Subramanian, S., and Mohan, S., Fourier transform infrared and
Raman spectral analysis of trans-1,4-polyisoprene. Spectrochimica Acta Part A:
Molecular and Biomolecular Spectroscopy, 2001. 57(13): p. 2547-2554.
10. Moldoveanu, S., Analytical pyrolysis of natural organic polymers, in Techniques
and instrumentation in analytical chemistry ; v. 20. 1998, Elsevier: Amsterdam ;
New York. p. 1-31.
11. Groves, S. and Lehrle, R., Pyrolysis mechanisms of natural rubber deduced from
the dependence of product yields on sample size. European Polymer Journal,
1992. 28(4): p. 373-378.
12. Groves, S.A., Lehrle, R.S., Blazso, M., and Szekely, T., Natural rubber pyrolysis:
Study of temperature-and thickness-dependence indicates dimer formation
mechanism. Journal of Analytical and Applied Pyrolysis, 1991. 19: p. 301-309.
13. Pakdel, H., Pantea, D.M., and Roy, C., Production of dl-limonene by vacuum
pyrolysis of used tires. Journal of Analytical and Applied Pyrolysis, 2001. 57(1):
p. 91-107.
14. Cunliffe, A.M. and Williams, P.T., Composition of oils derived from the batch
pyrolysis of tyres. Journal of Analytical and Applied Pyrolysis, 1998. 44(2): p.
131-152.
15. Cypress, R. and Bettens, B., Production of benzoles and activated carbon from
waste rubber and plastics materials by means of pyrolysis with simultaneous post-
cracking, in Pyrolysis and gasification, Ferrero, G.L., Maniatis, K., Buekens, A.
97
and Bridgwater, A. V., Editor. 1989, Elsevier Applied Science: London ; New
York. p. 209-229.
16. Williams, P.T. and Taylor, D.T., Aromatization of tyre pyrolysis oil to yield
polycyclic aromatic hydrocarbons. Fuel, 1993. 72(11): p. 1469-1474.
17. Levendis, Y.A., Atal, A., Carlson, J., Dunayevskiy, Y., and Vouros, P.,
Comparative study on the combustion and emissions of waste tire crumb and
pulverized coal. Environmental Science & Technology, 1996. 30(9): p. 2742-
2754.
18. Yang, J. and Lu, M., Thermal growth and decomposition of methylnaphthalenes.
Environmental Science & Technology, 2005. 39: p. 3077-3082.
19. Giray, E.S. and Sonmez, O., Supercritical extraction of scrap tire with different
solvents and the effect of tire oil on the supercritical extraction of coal. Fuel
Processing Technology, 2004. 85(4): p. 251-265.
20. Mirmiran, S., Pakdel, H., and Roy, C., Characterization of used tire vacuum
pyrolysis oil: Nitrogenous compounds from the naphtha fraction. Journal of
Analytical and Applied Pyrolysis, 1992. 22(3): p. 205-215.
21. Pakdel, H. and Roy, C., Simultaneous gas chromatographic--Fourier transform
infrared spectroscopic--mass spectrometric analysis of synthetic fuel derived from
used tire vacuum pyrolysis oil, naphtha fraction. Journal of Chromatography A,
1994. 683(1): p. 203-214.
98
Chapter 6
6 Conclusions and Recommendations
In this research, the pyrolysis mechanisms, the recovery and the removal of pyrolysis by-products of the TDF were investigated. For all the scenarios investigated, experimental results revealed significant changes of the pyrolysis kinetic parameters and the generation rate of specific pyrolysis-by-products from TDF to the designed and operated pyrolysis conditions. Important observations included: First the kinetic parameters of the TDF pyrolysis mechanisms were determined thermogravimetrically.
The decomposition model or the thermogravimetrical model was run to simulate various scenarios of the influences of heating rates and temperature based upon the Arrhenius equation. The influences of heating rate and pyrolysis temperature were investigated from 350 – 1000 oC, a range where substantial devolatilization occurs. The results of this study demonstrate that pyrolysis mechanism of TDF could indeed be adequately expressed by the Arrhenius relation.
Second, the mass distribution of pyrolysis by-products along with the removal of sulfur were determined gravimetrically. The experiments were designed under the hypothesis that changes in the pyrolysis parameters due to temperature and heating rate can alter the level and generation rate of the pyrolytic products. Throughout the results obtained in the investigation into the removal of sulfur, it appeared that all the findings agree well with the following:
• The majority of sulfur in TDF remain in the pyrolysed char rather than release to
the condensed vapor phase within 350 -850 oC;
99
• The overall desulfurization of the pyrolysis reaction is essentially unaffected by
the heating rates;
• The release of sulfur from the tire structure during pyrolysis offers the greatest
potential for the separation of sulfur dioxide from the evolved gases and vapors.
Finally, the hydrocarbons composition of derived oil were identified in conjunction with the study of PAHs formation. The experiments were designed to study changes in the pyrolysis temperature and heating rates and the resultant changes in the composition of the aromatic compounds in pyrolysis oils and the overall mass balance on carbon basis. As a result, the major composition of hydrocarbons from the derived oil could be sufficiently identified by GC-MS and FT-IR. The principal functional groups of the oils appeared to be the olefinic groups and aromatic hydrocarbon rings and were fairly independent the heating rates. However, the formation of major products in the derived oil such as alkylated isomers of cyclohexene, benzene and naphthalene as well as indan and styrene depended quantitatively on the final pyrolysis temperature.
This study has shown that a pyrolysis reactor can be designed and operated to produce specific products from used tires under certain operating conditions. It is recommended that the pyrolysis of used tires be considered in decision making regarding the management and the utilization of used tires which might involve activities such as incineration, power generation and the use of scrap tires as a fuel.
The following topics are recommended for potential future works:
100
• Model system utilizing parent materials of rubber such as styrene, polystyrene
might be recommendable to simulate the formation of heavy molecular weight
polycyclic aromatic hydrocarbon from the pyrolysis reaction of TDF.
• Combustion might be proper characterization tool in determining the
composition of the exhaust gas formed during the devolatilization process and
the depolymerization at high heating rate and temperature.
• More structural investigation of the elemental metal composition such as Zn,
S, Fe, etc., under various pyrolysis conditions might be needed to obtain the
basic knowledge on the mechanism of the desulfurization and the release of
metal process in the tire structure.
• Similar to the batch pyrolysis reactor, continuous feeding of TDF blending
with coal might be possible with the rotating pyrolysis-combustion reactor
with the various percentages mixture, which probably represent the real
situation of traveling gate fuel feeder system in the power plant. The design
might be modify for the gas sampling system as well.
101
Appendix A: Demonstration of Mathematica Model
1. Download the build-in function for nonlinear curve fitting technique:
<< Statistics`NonlinearFit`
2. Import data from text file:
data0 = Import "C:\\d55.txt", "Table" ; Length data0 790 @ D d55 = Take data0, 1, 790, 30 ; @ D data = d55 All, Range 1, 2 ; maxData = Length data @ 8 0.8 @ 8 @ D @ D 0.4 0.2 50 100 150 Graphics data2 = d55 All, Range 5, 7 ; 3. Determine the equation and the statistic data that best represent the input data by executed the nonlinear@@ curve fitting@ command:DDD Nonlinear5 = NonlinearFit data2, a + b ∗ x1 + c ∗ x2, x1, x2 , a, b, c −3.00367 − 2335.87 x1 + 0.762353 x2 regress5 = NonlinearRegress data2, a + b ∗ x1 + c ∗ x2, x1, x2 , a, b, c @ 8 < 8 @ 8 < 8 102 BestFitParameters → a→−3.00367, b →−2335.87, c →0.762353 , Estimate Asymptotic SE CI a −3.00367 1.0544 −5.17984, −0.827496 ParameterCITable → , 9 b8 −2335.87 722.875 <−3827.81, −843.928 c 0.762353 0.179319 0.392256, 1.13245 8 < 8 DF SumOfSq< MeanSq Model8 3 1321.01< 440.337 EstimatedVariance →1.82059, ANOVATable → Error 24 43.6942 1.82059, Uncorrected Total 27 1364.71 Corrected Total 26 76.6023 1. −0.938401 0.867035 AsymptoticCorrelationMatrix → −0.938401 1. −0.754396 , 0.867035 −0.754396 1. i Curvature y Max Intrinsic 0 FitCurvatureTable → k { Max Parameter−Effects 0 95. % Confidence Region 0.576507 lnko =−3.003674; e = 2335.87 ∗ 8.3144;= n = 0.76; maxTime = data maxData, 1 ∗ 1.05 204.75 R = 8.3144; To = 480; a = 5; @@ DD 4. Interpolate the obtained parameters and the experimental data by check the residual error technique: lnko− e sol =NDSolve x' t E R To+a∗t UnitStep 1−xt 1−UnitStep xt xt ^n, x 0 0,x, t, 0, maxTime x → InterpolatingFunction 0., 204.75 , <> classicFit5 = Plot x Ht L. sol, t, 0.1, maxTime , PlotRangeA9 →@D 0, maxTime , 0,@ 1.1@DD,H PlotStyle@@→DDDashing@DL @D0.05,= 0.058 0.4 0.2 50 100 150 200 Graphics 103 Show Graphics experiment5 , classicFit5, PlotRange → 0, maxTime , 0, 1.1 1 @ @ D 0.8 88 < 8 < 0.4 0.2 50 100 150 200 Graphics x data 5, 1 . sol 1 0.0225473 data 5, 2 @ @@ DDD ê @@ DD 0.0183383 ko1 =−3.003674; e1 = 2335.87@@ DD∗ R; n1 = 0.76; e =.; n =.; 5. Determine the best fit parameters by least square method with minimizing the sum of square of the conversion (SSQ) techniques: residual e_ := FindMinimum ko− e sol =NDSolve@ D x' t E R To+at UnitStep 1−x t 1−UnitStep x t x t ^n, x 0 0 ,x, t, 0, maxTime ; maxData A data i, 2 −x data H i, 1L . sol 1 ^2, ko, ko1, 0.95∗ko1 , n, n1, 0.95∗n1 i=1 A9 @ D @ @ DD H @ @ DD @ DL @ D = 8 104 50000, 0.0318456 , 55000, 0.0268902 , 60000, 0.0228919 , 65000, 0.0196801 , 70000, 0.0171084 , 75000, 0.0150696 , 80000, 0.0130656 , 85000, 0.0114898 , 90000, 0.0102566 , 95000, 0.00927228 , 100000, 0.00850135 , 105000, 0.00791024 , 110000, 0.00747421 , 115000, 0.00717212 , 88 < 8 < 8 < 8 < 8 < 120000, 0.00698588 , 125000, 0.00690073 , 130000, 0.00690413 , 135000, 0.00698379 , 8 < 8 < 8 < 8 < 8 < 140000, 0.00712964 , 145000, 0.0073329 , 150000, 0.00758485 , 155000, 0.007879 , 8 < 8 < 8 < 8 < 160000, 0.00820841 , 165000, 0.00856742 , 170000, 0.00895112 , 175000, 0.00935498 , 8 < 8 < 8 < 8 < 180000, 0.00977531 , 185000, 0.01021 , 190000, 0.0106543 , 195000, 0.0111057 , 200000, 0.0115635 8 < 8 < 8 < 8 < ListPlot resTable 8 < 8 < 8 < 8 < 0.038 < 8 < 8 < 8 < 8 << 0.025 @ D 0.02 0.015 80000 100000 120000 140000 160000 180000 200000