Enthalpies of Dilution of Aqueous Electrolytes: Sulfuric Acid, Hydrochloric Acid, and Lithium Chloride

Total Page:16

File Type:pdf, Size:1020Kb

Enthalpies of Dilution of Aqueous Electrolytes: Sulfuric Acid, Hydrochloric Acid, and Lithium Chloride JOURNAL OF RESEARCH of the National Bureau of Standards Vot. 85, No.1, January- February 1 980 Enthalpies of Dilution of Aqueous Electrolytes: Sulfuric Acid, Hydrochloric Acid, and Lithium Chloride Y.C.Wu Center for Consumer Technology, National Bureau of Standards, Washington, DC 20234 and T. F. Young* G. H. Jones Laboratory, University of Chicago, Chicago, Illinois 60637 August 8, 1979 Calorimetric measurements at 25°C of the enthalpies of dilution of aqueo us H2 S04 (0.00090 to 6.4 mol · kg-I ), LiCI (0.026 to 6.7 mol · kg-I ), and HCI (0.018 to 1.6 mol· kg- I) have been performed using two different isothermal calorimeters. The results of this work and that of three earli er calorimetric investigations and one Raman spectral investigation have been used to calculate values of the relative apparent molal enthalpies, and relative partial molal enthalpies for these electrolytes. Key words: Calorimetry; electrolytes; enthalpy of dilution; heat; hydrochloric acid; lithium chloride; relati ve apparent molal enthalpy; relative partial molal enthalpy; sulfuric acid; thermochemistry. 1. Introduction performed a semi-theoreti cal calculation of the relative ap­ parent molal enthalp), of sulfuric acid. They also found a The relative apparent molal enthalpy (<I>L) I or heat con­ systematic difference of 460 calories (l cal=4.184 1) betw een tent of sulfuric acid is a co mplicated fun ction of the molal­ th eir values and those reported in the literature [5]. This ity. The determination of this quantity requires an extrapo­ discrepancy was also confirmed later by Harned and Owen lation of enthalpies of dilution as measured do wn to ex ­ [1]. Several years later, Giauque and his co-workers at the tremely low molalities. Universi ty of California began an analysis of the thermody­ / There have been numerous reports and discussions of th e namics of sulfuric acid [6] . Thus, the work of Young and relative apparent molal enthalpy of sulfuric acid [1 - 4).2 At Blatz [2], the research of Giauque et al., and the earlier the extreme dilutions attainable experimentall y, sulfuric measurements of Gro enier and Young [7] indicated a need acid is known to have un dissociated bisulfate ions [2]. This for additional experimental work on the dilution enthalpy of incomplete dissociation at the lowest dilutions complicates sulfuric acid which, in turn, led the junior a uthor (YCW) to the extrapolation procedure, causes deviations from the undertake this investigation, which also included measure­ Debye-Huckellimiting law (DHLL), and makes the final cal­ ments on aqueous HCl and LiCl, as a part of his Ph.D. dis­ culated values of the relative apparent molal enthalpy sertation. While some of the results obtained herein have dependent on the method of data treatment. been cited by Giauque et al. [6] and used both in the Na­ Young and Blatz [2] performed an analysis of this prob­ tional Bureau of Standards Technical Note 270 Series [3], lem in 1949. They took the degree of dissociation, and and in the review of Pitzer et al. [8], independent publica­ thence the enthalpy of dissociation, into consideration and tion of the results was delayed by circumstances encoun­ tered by the senior author (TFY). Publication at this time ·Late professor of chemistry at the University of Chicago. serves both to better document the experimental results and I Th e reader is referred to th e trea ti se of Harn ed and Owen [I] for the definition of th e terms the method of data treatment and to honor the memory of used inlhis paper and to the glossary (sect. 6)for an ex planat ion orlhe sy mbols whic h we have used. 1 Fi gur es in brackets indicate references at th e end of this paper. the late T. F. Young and his dedication to science. 11 2. Experimental Procedure dilution of HCI at about 0.02 mol , kg- ', where the heat liberated was about 60 mcal, the corresponding uncertainty Two calorimeters of different sensi tivities were employed is about 25 percent. However, the heat liberated for the en­ depending on the molality. A calorimeter with lower sensi­ thalpy of dilution of sulfuric acid in the same molality range tivity, as described by Young and his co-workers [9, 10], wa s was about fifty times larger and the corresponding uncer­ used for most of the measurements where the molality was tain ty was less than 1 percen t. 1 greater than 0.01 mol kg- '. For those measurements below 0.01 mol kg- ', a more sensitive differential calorimeter was 3. Results and Calculation necessary. The latter instrument contained a thermel of 500 junctions on each side of a plastic plate which was held by The method of treating the data is essentially the same as petroleum "wax" in the center of a large Dewar flask hav­ desc ribed previously [10]. The molalities of th e initial and ing a volume of two liters. Its design was somewhat si milar final so lutions are, respectively, m, and m2. The heat abo to that of the calorimeter used by Lange and his co-wo rkers sorbed is Q, and Q divided by the number of moles con­ [11]. Details of the construction and operation have b een tained in the so lution is the enthalpy of dilution from m, to described by Fagley [12] and Kasner [13]. m2, II ¢J d llm'!2. The derivative of¢JL with respect to m'!2 is All of the chemicals used in this study were purchased 5, which can be obtained from a "chord-area" plot [15, 16]. from Baker Chemical Company) as "Chemically Pure The experimental data are given in tables 1,2 and 3 and in Analyzed Reagents." Relatively concentrated stock solu­ figures 1 and 2, where, for sulfuric acid, we also show the tions were pre pared and were analyzed by standard meth­ data of Groenier [7], of Lange et al. [5], and of Giauque et ods. The two acids were analyzed by titration with sodium al. [6] . In order to calculate ¢J L at a given molality using the hydroxide which had been standardized with potassium relationship acid phthalate using phenolphthalein as an end-point in­ dicator. The hydrochloric acid and the lithium chloride were analyzed gravimetrically by precipitation as silver (1 ) chloride. Sulfuric acid was also analyzed by measurement of o its density and comparison with data given in the Interna­ tional Critical Tables [14]. Duplicate analyses and analyses it is necessary to provide some form of extrapolation to zero with different methods agreed to within 0.1 percent (for all molality to aid in the integration of the chord-area plot. For stock solutions). All stock solutions were further diluted by HCl and LiCI, we have used th e Debye-Huckel limiting law mass to the various molalities necessary for each experi­ (DHLL) value of S° of 477 cal, moj-'!2 kg' /2 [16]. ment. Some of the solutions produced during the dilution For H2 S04 the situation is more complex and warrants experiments were subjected to additional tests of analytical additional discussion. From Debye-Huckel theory, S° for a accuracy. 2-1 electrolyte is 2480 cal, mol-312 . kg" 2 [2] . In order to join The laboratory's distilled water was further purified be­ this value with the experimental data in figure la, we con­ fore use by redistillation with al kaline permanganate in a sider one mole of H2 S04 to be a mixture of a moles of block-tin still [13]. The specific conductance of all water H · H · S04 and (I-a) moles of H· HS04, where the dot be­ used was lower than 10-6 ohm- ' . cm- '. tween the symbols indicates the dissociation which has oc­ curred. The relative apparent molal enthalpy of sulfuric The temperature sensitivity of the differen tial calorim· eter was about 2 f../K, which corresponds to an uncertainty in acid will be the heat measurement of 1.5 mcal. At a molality of 0.001 ¢J L (H 2 S0 4 ) = a¢J L(H· S04) 'l mol , kg- ', the heat liberated on dilution of sulfuric acid was H· + about 50 meal with a corresponding uncertainty of 3 per· (l-a)¢JL(H ' HS0 4 ) + (l-a)~, ,, + .ll",H (2) cent. For lower molalities, the heat liberated would have decreased, thus magnifying the relative error. Therefore, a has been evaluated by Young and Blatz [2] from Raman the heat of dilution at 0.001 mol, kg- ' was about the limit spectral data; we have taken the enthalpy of di ssociation of that this could be measured using the then existing instru­ bi sulfate ion at infinite dilution (~i'S) as 5200 cal , mol-' mentation. [1]; we have estimated ¢J L for (H' H· S04) from the ¢J L data The temperature sensitivity of the less sensitive calorim­ for Li 2S04 [1]; we have used an average ¢J L for HCl and LiCl eter was about 20 f../K, which co rresponded to a sensitivity in obtained in this investigation (see tables 6 and 7 and refer­ the heat measurement of 15 mcal. Thus, for the enthalpy of ence [17]) in estimating a value of ¢J L for (H' HS04 ) ; and we have taken the enthalpy of mixing of the ions (1l."H) to be J Ce rtai n commerc ia l mate ri als arc id entifie d in th is paper in o rder to a deq uate ly specify th e ex­ zero [10]. The results of our semi-theoretical calculations periment al procedures. S uc h identificatio n does not imply recomme ndati o n o r e ndo rse ment by the Na tio nal Bureau of Sta nda rds.
Recommended publications
  • Chapter 8 and 9 – Energy Balances
    CBE2124, Levicky Chapter 8 and 9 – Energy Balances Reference States . Recall that enthalpy and internal energy are always defined relative to a reference state (Chapter 7). When solving energy balance problems, it is therefore necessary to define a reference state for each chemical species in the energy balance (the reference state may be predefined if a tabulated set of data is used such as the steam tables). Example . Suppose water vapor at 300 oC and 5 bar is chosen as a reference state at which Hˆ is defined to be zero. Relative to this state, what is the specific enthalpy of liquid water at 75 oC and 1 bar? What is the specific internal energy of liquid water at 75 oC and 1 bar? (Use Table B. 7). Calculating changes in enthalpy and internal energy. Hˆ and Uˆ are state functions , meaning that their values only depend on the state of the system, and not on the path taken to arrive at that state. IMPORTANT : Given a state A (as characterized by a set of variables such as pressure, temperature, composition) and a state B, the change in enthalpy of the system as it passes from A to B can be calculated along any path that leads from A to B, whether or not the path is the one actually followed. Example . 18 g of liquid water freezes to 18 g of ice while the temperature is held constant at 0 oC and the pressure is held constant at 1 atm. The enthalpy change for the process is measured to be ∆ Hˆ = - 6.01 kJ.
    [Show full text]
  • Industrial Wastewater: Permitted and Prohibited Discharge Reference
    Industrial Wastewater: Permitted and Prohibited Discharge Reference Department: Environmental Protection Program: Industrial Wastewater Owner: Program Manager, Darrin Gambelin Authority: ES&H Manual, Chapter 43, Industrial Wastewater SLAC’s industrial wastewater permits are explicit about the type and amount of wastewater that can enter the sanitary sewer, and all 20 permitted discharges are described in this exhibit. The permits are also explicit about which types of discharges are prohibited, and these are itemized as well. Any industrial wastewater discharges not listed below must first be cleared with the industrial wastewater (IW) program manager before discharge to the sanitary sewer. Any prohibited discharge must be managed by the Waste Management (WM) Group. (See Industrial Wastewater: Discharge Characterization Guidelines.1) Permitted Industrial Discharges Each of the twenty industrial wastewater discharges currently named in SLAC’s permits is listed below by their permit discharge number (left column) and each is described in terms of process description, location, flow, characterization, and point of discharge on the page number listed on the right. 1 Metal Finishing Pretreatment Facility 4 2 Former Hazardous Waste Storage Area Dual Phase Extraction 5 3 Low-conductivity Water from Cooling Systems 6 4 Cooling Tower Blowdown 8 5 Monitoring Well Purge Water 10 6 Rainwater from Secondary Containments 11 1 Industrial Wastewater: Discharge Characterization Guidelines (SLAC-I-750-0A16T-007), http://www- group.slac.stanford.edu/esh/eshmanual/references/iwGuideDischarge.pdf
    [Show full text]
  • Factors Affecting Indoor Air Quality
    Factors Affecting Indoor Air Quality The indoor environment in any building the categories that follow. The examples is a result of the interaction between the given for each category are not intended to site, climate, building system (original be a complete list. 2 design and later modifications in the Sources Outside Building structure and mechanical systems), con- struction techniques, contaminant sources Contaminated outdoor air (building materials and furnishings, n pollen, dust, fungal spores moisture, processes and activities within the n industrial pollutants building, and outdoor sources), and n general vehicle exhaust building occupants. Emissions from nearby sources The following four elements are involved n exhaust from vehicles on nearby roads Four elements— in the development of indoor air quality or in parking lots, or garages sources, the HVAC n loading docks problems: system, pollutant n odors from dumpsters Source: there is a source of contamination pathways, and or discomfort indoors, outdoors, or within n re-entrained (drawn back into the occupants—are the mechanical systems of the building. building) exhaust from the building itself or from neighboring buildings involved in the HVAC: the HVAC system is not able to n unsanitary debris near the outdoor air development of IAQ control existing air contaminants and ensure intake thermal comfort (temperature and humidity problems. conditions that are comfortable for most Soil gas occupants). n radon n leakage from underground fuel tanks Pathways: one or more pollutant pathways n contaminants from previous uses of the connect the pollutant source to the occu- site (e.g., landfills) pants and a driving force exists to move n pesticides pollutants along the pathway(s).
    [Show full text]
  • Indoor Air Quality in Commercial and Institutional Buildings
    Indoor Air Quality in Commercial and Institutional Buildings OSHA 3430-04 2011 Occupational Safety and Health Act of 1970 “To assure safe and healthful working conditions for working men and women; by authorizing enforcement of the standards developed under the Act; by assisting and encouraging the States in their efforts to assure safe and healthful working conditions; by providing for research, information, education, and training in the field of occupational safety and health.” This publication provides a general overview of a particular standards-related topic. This publication does not alter or determine compliance responsibili- ties which are set forth in OSHA standards, and the Occupational Safety and Health Act of 1970. More- over, because interpretations and enforcement poli- cy may change over time, for additional guidance on OSHA compliance requirements, the reader should consult current administrative interpretations and decisions by the Occupational Safety and Health Review Commission and the courts. Material contained in this publication is in the public domain and may be reproduced, fully or partially, without permission. Source credit is requested but not required. This information will be made available to sensory- impaired individuals upon request. Voice phone: (202) 693-1999; teletypewriter (TTY) number: 1-877- 889-5627. Indoor Air Quality in Commercial and Institutional Buildings Occupational Safety and Health Administration U.S. Department of Labor OSHA 3430-04 2011 The guidance is advisory in nature and informational in content. It is not a standard or regulation, and it neither creates new legal obligations nor alters existing obligations created by OSHA standards or the Occupational Safety and Health Act.
    [Show full text]
  • Dilution Models for Effluent Discharges, Third Edition (Pages 1
    DILUTION MODELS FOR EFFLUENT DISCHARGES (Third Edition) by D.J. Baumgartner1, W.E. Frick2, and P.J.W. Roberts3 1 Environmental Research Laboratory University of Arizona, Tucson, AZ 98706 2 Pacific Ecosystems Branch, ERL-N Newport, OR 97365-5260 3 Georgia Institute of Technology Atlanta, GA 30332 March 22, 1994 Reformatted with Corel WordPerfect 8.0.0.484©, 27 Feb, 20 Nov 2000, and 10 Sep 2001 including scanned figures Word placement on pages varies slightly from the original published manuscript Walter Frick, 10 Sep 2001, USEPA ERD, Athens, GA 30605 ([email protected]) Standards and Applied Science Division Office of Science and Technology Oceans and Coastal Protection Division Office of Wetlands, Oceans, and Watersheds Pacific Ecosystems Branch, ERL-N 2111 S.E. Marine Science Drive Newport, Oregon 97365-5260 U.S. Environmental Protection Agency ABSTRACT This report describes two initial dilution plume models, RSB and UM, and a model interface and manager, PLUMES, for preparing common model input and running the models. Two farfield algorithms are automatically initiated beyond the zone of initial dilution. In addition, PLUMES incorporates the flow classification scheme of the Cornell Mixing Zone Models (CORMIX), with recommendations for model usage, thereby providing a linkage between two existing EPA systems. The PLUMES models are intended for use with plumes discharged to marine and fresh water. Both buoyant and dense plumes, single sources and many diffuser outfall configurations may be modeled. The PLUMES software accompanies this manuscript. The program, intended for an IBM compatible PC, requires approximately 200K of memory and a color monitor. The use of the model interface is explained in detail, including a user's guide and a detailed tutorial.
    [Show full text]
  • Ventilation Recommendations
    Why ventilate? • Dilute contaminants • Control or aggravate humidity • Comfort or lack of cooling • Odors • Provide oxygen History of Minimum Ventilation Recommendations smoking 60 62-89 55 50 45 40 Billings F l u g g e 35 1895 1 95 0 30 smoking 25 62-81 ASHRAE 20 Nightengale Reid ASHRAE 6 29 - 8 1865 15 1844 Yaglou 62-73 10 1936 Outdoor Air (cfm/person) Outdoor 5 Tredgold ASHRAE 62-81 1836 1825 1850 1875 1900 1925 1950 1975 2000 2500 5 equilibrium co2 4.5 sbs data 2000 4 sbs curve fit 3.5 1500 3 2.5 1000 2 SBS RtskSBS Factor Equilibrium CO2 (ppm) CO2 Equilibrium 1.5 500 1 0.5 0 0 0 20 40 60 80 100 120 Ventilation (cfm/person) Sick Building Syndrome data from Jan Sundell Swedish Office Building Study What Powers air flows? Temperature Fans Differences Wind 8ach@50 Ventilation - Albany, NY 4ach@50 2ach 0.7 2ach+hrv 4ach@50+exh 0.6 0.5 0.4 0.3 Ventilation (ACH) 0.2 0.1 0 0 60 120 180 240 300 360 Day of the Year Does it all work? • Dilution ventilation system: – Central exhaust – OA to return of AHU – HRV/ERV • Local exhaust: – Bathrooms – kitchen • Combustion devices • Clothes dryers Does It Work? Local exhaust and dilution ventilation • What speed? • Fan flows • Sound levels • Pressure drop a cross the fan • Watts • Pressure map house? – Indoors-outdoors for each mode? – CAZ More than a Fan • Exhaust vent point sources to the outside – Kitchen, bathroom, dryers (except condensing dryers), combustion devices, laundries • Provide dilution ventilation – Exhaust, supply, both • Effective distribution – Central air handlers? – Baseboard or
    [Show full text]
  • Dilution Refrigeration with Multiple Mixing Chambers
    Dilution refrigeration with multiple mixing chambers Citation for published version (APA): Coops, G. M. (1981). Dilution refrigeration with multiple mixing chambers. Technische Hogeschool Eindhoven. https://doi.org/10.6100/IR36684 DOI: 10.6100/IR36684 Document status and date: Published: 01/01/1981 Document Version: Publisher’s PDF, also known as Version of Record (includes final page, issue and volume numbers) Please check the document version of this publication: • A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.
    [Show full text]
  • Referencing Dilution-Based Trace Humidity Generators to Primary Humidity Standards
    REFERENCING DILUTION-BASED TRACE HUMIDITY GENERATORS TO PRIMARY HUMIDITY STANDARDS P.H. Huang, G.E. Scace, J.T. Hodges National Institute of Standards and Technology, Gaithersburg, Maryland, U.S.A. ABSTRACT We describe a technique for measuring the trace humidity level delivered by a permeation-tube type moisture generator (PTMG). Mole fractions of H2O in N2 carrier gas in the range 10 nmol/mol to 100 nmol/mol were considered. The measurements are referenced to the NIST low frost-point generator (LFPG). A quartz crystal microbalance (QCM) hygrometer is used as a comparator to measure the concentration difference between the respective outputs of the PTMG and LFPG. Differences in the water vapor mole fraction of . 1 nmol/mol were observable with this technique. Systematic differences with respect to the LFPG output of (3.8 ∀ 0.9) % and (2.9 ∀ 0.7) %, were measured for two PTMG devices. 1. INTRODUCTION Water vapor present at trace levels in high-purity process gases (typically .100 nmol of H2O per mol of gas mixture) is a ubiquitous contaminant that can adversely affect the fabrication of components for semiconductor, microelectronic, and photonic devices [1]. This fact has motivated the development and application of numerous techniques for the quantitation of trace humidity levels. Despite these many options, the real-time measurement and control of trace amounts of H2O is challenging, and the prediction of an analyzer's response is usually fraught with uncertainty. In particular, sensor drift, non-linearity, hysteresis and other system-dependent effects demand that hygrometers be calibrated in the field against a transfer standard humidity generator.
    [Show full text]
  • Outgassing Properties of Vacuum Materials for Particle Accelerators Paolo Chiggiato CERN, Geneva, Switzerland
    Proceedings of the 2017 CERN–Accelerator–School course on Vacuum for Particle Accelerators, Glumslov, (Sweden) Outgassing properties of vacuum materials for particle accelerators Paolo Chiggiato CERN, Geneva, Switzerland Abstract Gas load and pumping determine the quality of vacuum systems. In particle accelerators, once leaks are excluded, outgassing of materials is an important source of gas together with degassing induced by particle beams. Understanding, predicting, and measuring gas release from materials in vacuum are among the fundamental tasks of ultrahigh-vacuum experts. The knowledge of outgassing phenomena is essential for the choice of materials and their treatments so that the required gas density is achieved in such demanding and expensive scientific instruments. This note provides the background to understand outgassing in vacuum and gives references for further study. Keywords Outgassing; vacuum technology; vacuum materials; diffusion model; adsorption isotherms; vacuum firing; polymer outgassing 1. Introduction The pressure in a given position of a vacuum vessel is obtained once the rate of gas release and the effective pumping speed [1] are known: (1) = + where is the ultimate pressure of the applied pumping system, i.e. the pressure ideally achieved without any gas load. In general, in particle accelerators, the local effective pumping speed ranges between 1 and a maximum value of the order of 1000 ℓs-1 due to the limited diameter of beampipes. On the other hand, the rate of release of significant gas species can extend over more than 10 orders of magnitude, roughly from 10-5 to 10-15 mbar ℓ s-1cm-2. Therefore, the installation of additional pumps cannot always be a remedy against the inappropriate selection of materials and their treatments.
    [Show full text]
  • So2 So So3 H2so4 Hso S H2s Hs
    CHEMISTRY RELATED TO POSSIBLE OUTGASSING SOURCES ON MARS. A. S. Wong, S. K. Atreya and N. O. Renno, Department of Atmospheric, Oceanic and Space Sciences, University of Michigan, Ann Arbor, MI 48109-2143 ([email protected]). Introduction: An earlier paper, “Chemical mark- which the surface mixing ratio of each outgassed spe- ers of possible hot spots on Mars” by A. S. Wong, S. cies is set to 100 ppm (Figure 2). The resulting mixing K. Atreya and Th. Encrenaz [1], explored the modifi- ratios and column abundances of SO2, H2S, and SO are cation of the atmosphere of Mars following an influx summarized in Table 1. All sulfur species scale more of methane, sulfur dioxide and hydrogen sulfide (CH4, or less proportionally with the amount of outgassing SO2, H2S) from any outgassing sources which are re- species. ferred to as hot spots. The feasibility of detection of the new species by Planetary Fourier Spectrometer on O2 Mars Express is reported in a subsequent paper, “At- HSO SO2 mospheric photochemistry above possible martian hot O ,HO hν O ,OH,O spots” by A. S. Wong, S. K. Atreya, V. Formisano, Th. 3 2 2 Encrenaz and N. Ignatiev [2]. This abstract is a fol- HS SO SO3 low-up on the previous two papers. Here we treat the O O3 effect of any outgassed halogens rigorously. We also hν hν O H2O make estimates of dilution factors relative to the source 2 location following convection and meridional trans- H S S H SO port. 2 2 4 The typical terrestrial outgassing species include H2O, CO2, SO2, H2S, CH4, and small amounts of halo- gens.
    [Show full text]
  • Building Air Intake and Exhaust Design
    CHAPTER 46 BUILDING AIR INTAKE AND EXHAUST DESIGN Exhaust Stack and Air Intake Design Strategies........................................................................... 46.1 Geometric Method for Estimating Stack Height ........................................................................... 46.5 Exhaust-To-Intake Dilution or Concentration Calculations......................................................... 46.7 Other Considerations.................................................................................................................. 46.10 UTDOOR air enters a building through its air intake to provide O ventilation air to building occupants. Likewise, building ex- haust systems remove air from a building and expel the contaminants to the atmosphere. If the intake or exhaust system is not well de- signed, contaminants from nearby outdoor sources (e.g., vehicle ex- haust, emergency generators, exhaust stacks on nearby buildings) or from the building itself (e.g., laboratory fume hood exhaust, plumb- ing vents) can enter the building before dilution. Poorly diluted con- taminants may cause odors, health impacts, and reduced indoor air quality. This chapter discusses proper design of exhaust stacks and placement of air intakes to avoid adverse air quality impacts. Chapter 24 of the 2017 ASHRAE Handbook—Fundamentals de- scribes wind and airflow patterns around buildings in greater detail. Related information can also be found in Chapters 9, 18, 33, 34, and 35 of this volume, Chapters 11 and 12 of the 2017 ASHRAE Hand- Fig. 1 Flow Recirculation Regions and Exhaust Parameters book—Fundamentals, and Chapters 29, 30, and 35 of the 2016 (Wilson 1982) ASHRAE Handbook—HVAC Systems and Equipment. of ganged stacks. In general, for a tight cluster to be considered as a 1. EXHAUST STACK AND AIR INTAKE single stack (i.e., to add stack momentums together) in dilution cal- DESIGN STRATEGIES culations, the stacks must be uncapped and nearly be touching the middle stack of the group.
    [Show full text]
  • Comparing Simulated and Measured Sensible and Latent Heat Fluxes Over Snow Under a Pine Canopy to Improve an Energy Balance Snowmelt Model Ϩ D
    1506 JOURNAL OF HYDROMETEOROLOGY VOLUME 9 Comparing Simulated and Measured Sensible and Latent Heat Fluxes over Snow under a Pine Canopy to Improve an Energy Balance Snowmelt Model ϩ D. MARKS,* M. REBA, J. POMEROY,# T. LINK,@ A. WINSTRAL,* G. FLERCHINGER,* AND K. ELDER& *Northwest Watershed Research Center, Agricultural Research Service, USDA, Boise, Idaho ϩDepartment of Civil Engineering, University of Idaho, Boise, Idaho #Centre for Hydrology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada @Department of Forest Resources, University of Idaho, Moscow, Idaho &Rocky Mountain Research Station, USDA Forest Service, Fort Collins, Colorado (Manuscript received 4 January 2007, in final form 17 March 2008) ABSTRACT During the second year of the NASA Cold Land Processes Experiment (CLPX), an eddy covariance (EC) system was deployed at the Local Scale Observation Site (LSOS) from mid-February to June 2003. The EC system was located beneath a uniform pine canopy, where the trees are regularly spaced and are of similar age and height. In an effort to evaluate the turbulent flux calculations of an energy balance snowmelt model (SNOBAL), modeled and EC-measured sensible and latent heat fluxes between the snow cover and the atmosphere during this period are presented and compared. Turbulent fluxes comprise a large component of the snow cover energy balance in the premelt and ripening period (March–early May) and therefore control the internal energy content of the snow cover as melt accelerates in late spring. Simulated snow cover depth closely matched measured values (RMS difference 8.3 cm; Nash–Sutcliff model efficiency 0.90), whereas simulated snow cover mass closely matched the few measured values taken during the season.
    [Show full text]