An Efficient Method to Predict Compressibility Factor of Natural
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Blending Hydrogen Into Natural Gas Pipeline Networks: a Review of Key Issues
Blending Hydrogen into Natural Gas Pipeline Networks: A Review of Key Issues M. W. Melaina, O. Antonia, and M. Penev NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Technical Report NREL/TP-5600-51995 March 2013 Contract No. DE-AC36-08GO28308 Blending Hydrogen into Natural Gas Pipeline Networks: A Review of Key Issues M. W. Melaina, O. Antonia, and M. Penev Prepared under Task No. HT12.2010 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory Technical Report 15013 Denver West Parkway NREL/TP-5600-51995 Golden, Colorado 80401 March 2013 303-275-3000 • www.nrel.gov Contract No. DE-AC36-08GO28308 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States government or any agency thereof. -
Atmospheric Gases Student Handout Atmospheric Gases
Atmospheric Gases Student Handout Atmospheric Gases Driving Question: What is our atmosphere made of? In this activity you will: 1. Explore the variety and ratio of compounds and elements that make up the Earth’s atmosphere. 2. Understand volumetric measurements of gases in the atmosphere. 3. Visually depict the composition of the atmosphere. Background Information: Understanding Concentration Measurements In this activity, we will investigate the gas composition of our planet’s atmosphere. We use percentages to represent units of gas composition. A percent (%) is equivalent to 1 part out of 100 equal units. 1% = 1 part out of 100 For smaller concentrations scientists use parts per million (ppm) to represent concentrations of gases (or pollutants) in the atmosphere). One ppm is equivalent to 1 part out of 1,000,000 if the volume being measured is separated into 1,000,000 equal units. 1 ppm = 1 part out of 1,000,000 In this activity, you will use graph paper to represent the concentration of different gases in the atmosphere. Copyright © 2011 Environmental Literacy and Inquiry Working Group at Lehigh University Atmospheric Gases Student Handout 2 Here are some examples to help visualize parts per million: The common unit mg/liter is equal to ppm concentration Four drops of ink in a 55-gallon barrel of water would produce an "ink concentration" of 1 ppm. 1 12-oz can of soda pop in a 30-meter swimming pool 1 3-oz chocolate bar on a football field Atmospheric Composition Activity You will be creating a graphic model of the atmosphere composition using the Atmospheric Composition of Clean Dry Air activity sheet. -
Tracer Applications of Noble Gas Radionuclides in the Geosciences
To be published in Earth-Science Reviews Tracer Applications of Noble Gas Radionuclides in the Geosciences (August 20, 2013) Z.-T. Lua,b, P. Schlosserc,d, W.M. Smethie Jr.c, N.C. Sturchioe, T.P. Fischerf, B.M. Kennedyg, R. Purtscherth, J.P. Severinghausi, D.K. Solomonj, T. Tanhuak, R. Yokochie,l a Physics Division, Argonne National Laboratory, Argonne, Illinois, USA b Department of Physics and Enrico Fermi Institute, University of Chicago, Chicago, USA c Lamont-Doherty Earth Observatory, Columbia University, Palisades, New York, USA d Department of Earth and Environmental Sciences and Department of Earth and Environmental Engineering, Columbia University, New York, USA e Department of Earth and Environmental Sciences, University of Illinois at Chicago, Chicago, IL, USA f Department of Earth and Planetary Sciences, University of New Mexico, Albuquerque, USA g Center for Isotope Geochemistry, Lawrence Berkeley National Laboratory, Berkeley, USA h Climate and Environmental Physics, Physics Institute, University of Bern, Bern, Switzerland i Scripps Institution of Oceanography, University of California, San Diego, USA j Department of Geology and Geophysics, University of Utah, Salt Lake City, USA k GEOMAR Helmholtz Center for Ocean Research Kiel, Marine Biogeochemistry, Kiel, Germany l Department of Geophysical Sciences, University of Chicago, Chicago, USA Abstract 81 85 39 Noble gas radionuclides, including Kr (t1/2 = 229,000 yr), Kr (t1/2 = 10.8 yr), and Ar (t1/2 = 269 yr), possess nearly ideal chemical and physical properties for studies of earth and environmental processes. Recent advances in Atom Trap Trace Analysis (ATTA), a laser-based atom counting method, have enabled routine measurements of the radiokrypton isotopes, as well as the demonstration of the ability to measure 39Ar in environmental samples. -
Carbon Dioxide Heat Transfer Coefficients and Pressure
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Archivio della ricerca - Università degli studi di Napoli Federico II international journal of refrigeration 33 (2010) 1068e1085 available at www.sciencedirect.com www.iifiir.org journal homepage: www.elsevier.com/locate/ijrefrig Carbon dioxide heat transfer coefficients and pressure drops during flow boiling: Assessment of predictive methods R. Mastrullo a, A.W. Mauro a, A. Rosato a,*, G.P. Vanoli b a D.E.TE.C., Facolta` di Ingegneria, Universita` degli Studi di Napoli Federico II, p.le Tecchio 80, 80125 Napoli, Italy b Dipartimento di Ingegneria, Universita` degli Studi del Sannio, corso Garibaldi 107, Palazzo dell’Aquila Bosco Lucarelli, 82100 Benevento, Italy article info abstract Article history: Among the alternatives to the HCFCs and HFCs, carbon dioxide emerged as one of the most Received 13 December 2009 promising environmentally friendly refrigerants. In past years many works were carried Received in revised form out about CO2 flow boiling and very different two-phase flow characteristics from 8 February 2010 conventional fluids were found. Accepted 5 April 2010 In order to assess the best predictive methods for the evaluation of CO2 heat transfer Available online 9 April 2010 coefficients and pressure gradients in macro-channels, in the current article a literature survey of works and a collection of the results of statistical comparisons available in Keywords: literature are furnished. Heat exchanger In addition the experimental data from University of Naples are used to run a deeper Boiling analysis. Both a statistical and a direct comparison against some of the most quoted Carbon dioxide-review predictive methods are carried out. -
Entropy: Ideal Gas Processes
Chapter 19: The Kinec Theory of Gases Thermodynamics = macroscopic picture Gases micro -> macro picture One mole is the number of atoms in 12 g sample Avogadro’s Number of carbon-12 23 -1 C(12)—6 protrons, 6 neutrons and 6 electrons NA=6.02 x 10 mol 12 atomic units of mass assuming mP=mn Another way to do this is to know the mass of one molecule: then So the number of moles n is given by M n=N/N sample A N = N A mmole−mass € Ideal Gas Law Ideal Gases, Ideal Gas Law It was found experimentally that if 1 mole of any gas is placed in containers that have the same volume V and are kept at the same temperature T, approximately all have the same pressure p. The small differences in pressure disappear if lower gas densities are used. Further experiments showed that all low-density gases obey the equation pV = nRT. Here R = 8.31 K/mol ⋅ K and is known as the "gas constant." The equation itself is known as the "ideal gas law." The constant R can be expressed -23 as R = kNA . Here k is called the Boltzmann constant and is equal to 1.38 × 10 J/K. N If we substitute R as well as n = in the ideal gas law we get the equivalent form: NA pV = NkT. Here N is the number of molecules in the gas. The behavior of all real gases approaches that of an ideal gas at low enough densities. Low densitiens m= enumberans tha oft t hemoles gas molecul es are fa Nr e=nough number apa ofr tparticles that the y do not interact with one another, but only with the walls of the gas container. -
IB Questionbank
Topic 3 Past Paper [94 marks] This question is about thermal energy transfer. A hot piece of iron is placed into a container of cold water. After a time the iron and water reach thermal equilibrium. The heat capacity of the container is negligible. specific heat capacity. [2 marks] 1a. Define Markscheme the energy required to change the temperature (of a substance) by 1K/°C/unit degree; of mass 1 kg / per unit mass; [5 marks] 1b. The following data are available. Mass of water = 0.35 kg Mass of iron = 0.58 kg Specific heat capacity of water = 4200 J kg–1K–1 Initial temperature of water = 20°C Final temperature of water = 44°C Initial temperature of iron = 180°C (i) Determine the specific heat capacity of iron. (ii) Explain why the value calculated in (b)(i) is likely to be different from the accepted value. Markscheme (i) use of mcΔT; 0.58×c×[180-44]=0.35×4200×[44-20]; c=447Jkg-1K-1≈450Jkg-1K-1; (ii) energy would be given off to surroundings/environment / energy would be absorbed by container / energy would be given off through vaporization of water; hence final temperature would be less; hence measured value of (specific) heat capacity (of iron) would be higher; This question is in two parts. Part 1 is about ideal gases and specific heat capacity. Part 2 is about simple harmonic motion and waves. Part 1 Ideal gases and specific heat capacity State assumptions of the kinetic model of an ideal gas. [2 marks] 2a. two Markscheme point molecules / negligible volume; no forces between molecules except during contact; motion/distribution is random; elastic collisions / no energy lost; obey Newton’s laws of motion; collision in zero time; gravity is ignored; [4 marks] 2b. -
How Compressible Are Innovation Processes?
1 How Compressible are Innovation Processes? Hamid Ghourchian, Arash Amini, Senior Member, IEEE, and Amin Gohari, Senior Member, IEEE Abstract The sparsity and compressibility of finite-dimensional signals are of great interest in fields such as compressed sensing. The notion of compressibility is also extended to infinite sequences of i.i.d. or ergodic random variables based on the observed error in their nonlinear k-term approximation. In this work, we use the entropy measure to study the compressibility of continuous-domain innovation processes (alternatively known as white noise). Specifically, we define such a measure as the entropy limit of the doubly quantized (time and amplitude) process. This provides a tool to compare the compressibility of various innovation processes. It also allows us to identify an analogue of the concept of “entropy dimension” which was originally defined by R´enyi for random variables. Particular attention is given to stable and impulsive Poisson innovation processes. Here, our results recognize Poisson innovations as the more compressible ones with an entropy measure far below that of stable innovations. While this result departs from the previous knowledge regarding the compressibility of fat-tailed distributions, our entropy measure ranks stable innovations according to their tail decay. Index Terms Compressibility, entropy, impulsive Poisson process, stable innovation, white L´evy noise. I. INTRODUCTION The compressible signal models have been extensively used to represent or approximate various types of data such as audio, image and video signals. The concept of compressibility has been separately studied in information theory and signal processing societies. In information theory, this concept is usually studied via the well-known entropy measure and its variants. -
Thermodynamics of Ideal Gases
D Thermodynamics of ideal gases An ideal gas is a nice “laboratory” for understanding the thermodynamics of a fluid with a non-trivial equation of state. In this section we shall recapitulate the conventional thermodynamics of an ideal gas with constant heat capacity. For more extensive treatments, see for example [67, 66]. D.1 Internal energy In section 4.1 we analyzed Bernoulli’s model of a gas consisting of essentially 1 2 non-interacting point-like molecules, and found the pressure p = 3 ½ v where v is the root-mean-square average molecular speed. Using the ideal gas law (4-26) the total molecular kinetic energy contained in an amount M = ½V of the gas becomes, 1 3 3 Mv2 = pV = nRT ; (D-1) 2 2 2 where n = M=Mmol is the number of moles in the gas. The derivation in section 4.1 shows that the factor 3 stems from the three independent translational degrees of freedom available to point-like molecules. The above formula thus expresses 1 that in a mole of a gas there is an internal kinetic energy 2 RT associated with each translational degree of freedom of the point-like molecules. Whereas monatomic gases like argon have spherical molecules and thus only the three translational degrees of freedom, diatomic gases like nitrogen and oxy- Copyright °c 1998{2004, Benny Lautrup Revision 7.7, January 22, 2004 662 D. THERMODYNAMICS OF IDEAL GASES gen have stick-like molecules with two extra rotational degrees of freedom or- thogonally to the bridge connecting the atoms, and multiatomic gases like carbon dioxide and methane have the three extra rotational degrees of freedom. -
An Entropy-Stable Hybrid Scheme for Simulations of Transcritical Real-Fluid
Journal of Computational Physics 340 (2017) 330–357 Contents lists available at ScienceDirect Journal of Computational Physics www.elsevier.com/locate/jcp An entropy-stable hybrid scheme for simulations of transcritical real-fluid flows Peter C. Ma, Yu Lv ∗, Matthias Ihme Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA a r t i c l e i n f o a b s t r a c t Article history: A finite-volume method is developed for simulating the mixing of turbulent flows at Received 30 August 2016 transcritical conditions. Spurious pressure oscillations associated with fully conservative Received in revised form 9 March 2017 formulations are addressed by extending a double-flux model to real-fluid equations of Accepted 12 March 2017 state. An entropy-stable formulation that combines high-order non-dissipative and low- Available online 22 March 2017 order dissipative finite-volume schemes is proposed to preserve the physical realizability Keywords: of numerical solutions across large density gradients. Convexity conditions and constraints Real fluid on the application of the cubic state equation to transcritical flows are investigated, and Spurious pressure oscillations conservation properties relevant to the double-flux model are examined. The resulting Double-flux model method is applied to a series of test cases to demonstrate the capability in simulations Entropy stable of problems that are relevant for multi-species transcritical real-fluid flows. Hybrid scheme © 2017 Elsevier Inc. All rights reserved. 1. Introduction The accurate and robust simulation of transcritical real-fluid effects is crucial for many engineering applications, such as fuel injection in internal-combustion engines, rocket motors and gas turbines. -
Equation of State for Natural Gas Systems
Equation of State for Natural Gas Systems. m A thesis submitted to the University of London for the Degree of Doctor of Philosophy and for the Diploma of Imperial College by Jorge Francisco Estela-Uribe. Department of Chemical Engineering and Chemical Technology Imperial College of Science, Technology and Medicine. Prince Consort Road, SW7 2BY London, United Kingdom. March 1999. Acknowledgements. I acknowledge and thank the sponsorship I received from the following institutions: Fundacion para el Futuro de Colombia, Colfiituro; Pontificia Universidad Javeriana, Seccional Cali; the Committee of Vice-Chancellors and Principal of the Universities of the United Kingdom and Ruhrgas AG. Without their economic support my stay in London and the completion of this work would have been impossible. My greatest gratitude goes to my Supervisor, Dr Martin Trusler. His expert guidance and advice were always fundamental for the success of this research. He helped me with abundant patience and undying commitment and his optimism regarding the possibilities of the project was always inspirational for me. He also worked shoulder by shoulder with me on solving a good number of experimental problems, some of them were just cases of bad luck and for some prominent ones, I was the only one to blame. Others helped me willingly as well. My labmate, Dr Andres Estrada-Alexanders, was quite helpful in the beginning of my research, and has carried on being so. He not only did do well in his role as the senior student in the laboratory, but also became a good fnend of mine. Another good friend of mine, Dr Abdel Fenghour, has always been an endless source of help and information. -
New Explicit Correlation for the Compressibility Factor of Natural Gas: Linearized Z-Factor Isotherms
J Petrol Explor Prod Technol (2016) 6:481–492 DOI 10.1007/s13202-015-0209-3 ORIGINAL PAPER - PRODUCTION ENGINEERING New explicit correlation for the compressibility factor of natural gas: linearized z-factor isotherms 1 2 3 Lateef A. Kareem • Tajudeen M. Iwalewa • Muhammad Al-Marhoun Received: 14 October 2014 / Accepted: 17 October 2015 / Published online: 18 December 2015 Ó The Author(s) 2015. This article is published with open access at Springerlink.com Abstract The compressibility factor (z-factor) of gases is Keywords Z-factor Á Explicit correlation Á Reduced a thermodynamic property used to account for the devia- temperature Á Reduced pressure Á Natural gas tion of real gas behavior from that of an ideal gas. Corre- lations based on the equation of state are often implicit, List of symbols because they require iteration and are computationally P Pressure (psi) expensive. A number of explicit correlations have been P Pseudo-critical pressure derived to enhance simplicity; however, no single explicit pc P Pseudo-reduced pressure correlation has been developed for the full range of pseudo- pr ÀÁ T Temperature (R) reduced temperatures 1:05 Tpr 3 and pseudo-reduced ÀÁ Tpc Pseudo-critical temperature (R) pressures 0:2 Ppr 15 , which represents a significant Tpr Pseudo-reduced temperature research gap. This work presents a new z-factor correlation Ppc Pseudo-critical pressure (psi) that can be expressed in linear form. On the basis of Hall Ppr Pseudo-reduced pressure and Yarborough’s implicit correlation, we developed the v Initial guess for iteration process new correlation from 5346 experimental data points Y Pseudo-reduced density extracted from 5940 data points published in the SPE z-factor Compressibility factor natural gas reservoir engineering textbook and created a linear z-factor chart for a full range of pseudo-reduced temperatures ð1:15 Tpr 3Þ and pseudo-reduced pres- sures ð0:2 Ppr 15Þ. -
5.5 ENTROPY CHANGES of an IDEAL GAS for One Mole Or a Unit Mass of Fluid Undergoing a Mechanically Reversible Process in a Closed System, the First Law, Eq
Thermodynamic Third class Dr. Arkan J. Hadi 5.5 ENTROPY CHANGES OF AN IDEAL GAS For one mole or a unit mass of fluid undergoing a mechanically reversible process in a closed system, the first law, Eq. (2.8), becomes: Differentiation of the defining equation for enthalpy, H = U + PV, yields: Eliminating dU gives: For an ideal gas, dH = and V = RT/ P. With these substitutions and then division by T, As a result of Eq. (5.11), this becomes: where S is the molar entropy of an ideal gas. Integration from an initial state at conditions To and Po to a final state at conditions T and P gives: Although derived for a mechanically reversible process, this equation relates properties only, and is independent of the process causing the change of state. It is therefore a general equation for the calculation of entropy changes of an ideal gas. 1 Thermodynamic Third class Dr. Arkan J. Hadi 5.6 MATHEMATICAL STATEMENT OF THE SECOND LAW Consider two heat reservoirs, one at temperature TH and a second at the lower temperature Tc. Let a quantity of heat | | be transferred from the hotter to the cooler reservoir. The entropy changes of the reservoirs at TH and at Tc are: These two entropy changes are added to give: Since TH > Tc, the total entropy change as a result of this irreversible process is positive. Also, ΔStotal becomes smaller as the difference TH - TC gets smaller. When TH is only infinitesimally higher than Tc, the heat transfer is reversible, and ΔStotal approaches zero. Thus for the process of irreversible heat transfer, ΔStotal is always positive, approaching zero as the process becomes reversible.