"Thermodynamic Analysis of Processes for Hydrogen Generation by Decomposition of Water"
|
|
- Kristina McCoy
- 5 years ago
- Views:
Transcription
1 "Thermodynamc Analyss of Processes for Hydrogen Generaton by Decomposton of Water" by John P. O'Connell Department of Chemcal Engneerng Unversty of Vrgna Charlottesvlle, VA A Set of Energy Educaton Modules for Chemcal Engneerng Sponsored by The Center for Energy Intatves of The Amercan Insttute of Chemcal Engneers Insttute for Sustanablty Module 1: Fundamentals Introducton Hydrogen s beng proposed as an mportant factor n meetng the energy demands of the future global communty. Whle hydrogen s not a fuel, t can serve as an energy carrer and storage for fuel cells that provde statonary and moble electrcty, as well as have chemcal value n producng ammona fertlzer and upgradng heavy ols, coal and bomass [1, 2]. Snce, under normal condtons, Nature prefers to combne hydrogen wth other atoms, especally to oxdze t to water, energy must be put n to obtan pure hydrogen gas, as descrbed by the Second Law of Thermodynamcs. As wth all real processes that go aganst natural tendences, rreversbltes cause the nput energy to always be greater than the energy that mght be recovered by oxdzng the hydrogen. The prncpal engneerng ssues are how to mnmze the extra energy nput, and to defne the scale of chemcal processes and equpment to be constructed for a specfc hydrogen technology. There are three prncpal methods for obtanng hydrogen nvolvng water: chemcal reformng or gasfcaton from water and fossl fuels or bomass, electrolyss of water, and photo-nduced or thermochemcal decomposton of water [1-3]. Fossl fuels contan carbon along wth varable amounts of hydrogen, so carbon doxde s always produced along wth the hydrogen. At present, as much as 95% of the 9 MM tons of hydrogen annually produced n the US s from natural gas, prncpally methane, va the "water gas" and "water-gas shft" reactons [1]. Ths process yelds four moles of hydrogen and one mole of carbon doxde from each methane and two water molecules. However, any carbon source can be used n ths approach, wth the rato of H 2 to CO 2 reduced as the H content n the fuel decreases. A rough ndcator of the H/C rato s the phase of the fuel; gas has the most H and sold the least. For lquds, the greater the fludty, the hgher the H/C. The declne n fossl fuel resources and the producton of carbon doxde make ths approach less attractve over the long run. In electrolyss, the energy s put n va electron removal and addton at electrodes under electrochemcal potentals, bascally the reverse operaton of a fuel cell. Unfortunately, there are sgnfcant losses of useful energy due to rreversble processes n the electrode reactons and to speces transport. Photo-nduced decomposton uses sunlght energy for ether bactera or -1-
2 semconductors to drectly produce hydrogen. But the mechansms are poorly understood and the technology s undeveloped. Fnally, thermochemcal decomposton of water uses hgh temperature heat and closed-cycle processes wth added substances to separate the hydrogen and oxygen nto the pure components. There are several feasble approaches [2, 3], but most nvolve costly chemcals and materals of constructon, and none have been bult and operated at ndustral scale. The ntenton of the present modules s to gve experence n usng thermodynamcs for process analyss of energy effects and process constrants. Thermochemcal decomposton of water to manufacture hydrogen wll be the prncpal llustraton, though related unts and processes wll be examned. The set of modules s comprsed of the followng components: Module 1. Fundamentals Module 2. Analyss of Sngle-Unt Processes Module 3. The Whole-Process Perspectve for Thermochemcal Hydrogen Module 4. A Smplfed Multsecton Process for Thermochemcal Hydrogen Module 5. The 3-Secton Sulfur-Idodne Process for Thermochemcal Hydrogen Module 1 formulates the thermodynamc relatons that wll be used n all Modules. The later Modules start wth a revew of ths materal and then proceed to example exercses wth and wthout solutons. Module 5 has more extensve problems that to allow ndvdual and group nvestgaton. Thermodynamcs for Process Analyss Thermodynamc evaluatons, usng fundamentals and modelng, can provde lmted, but vtal, nformaton for analyss and desgn of chemcal processes, such as hydrogen producton. In partcular, best-case energy nputs and outputs, as well as a bass for estmatng the nevtable addtonal energy from rreversble processes, can be obtaned. The Laws gve always-true relatons that constran processes va mass and energy conservaton, entropy generaton, and chemcal potentals for phase and reacton equlbra. Models then provde values for these nonmeasurable, or conceptual, propertes n terms of measurables, such as temperature, pressure, and composton. The prncpal approach of open-system thermodynamcs uses balance equatons about "black-box" unts wth only flows of materal, and ther accompanyng energes and entropes, to account for the effects of nteractons of the system wth ts surroundngs. In addton, the streams can be constraned to phase and reacton equlbrum condtons whch can be solved for. Thus, no detals of the process, such as equpment or nternal stream flows, need to be ncluded; only streams and energes crossng the boundary of the defned system are used. The balance equatons force the heat, work, and materal nteractons of the process unt to obey the Laws, and quanttatve results are relable to the extent that the propertes are accurate. A man goal s to determne the process confguratons for mnmum energy requrements for specfed sets of constrants by mposng reversblty. In addton, the mpacts of rreversbltes characterzed by rates of entropy generaton, or other measures [4], can be determned. Besdes ths desgn actvty, the relatons allow analyss of entropy generaton for processes developed wth process smulaton software, determne consstency among soluton propertes, and compare results from dfferent property models [5]. -2-
3 Fundamental Thermodynamc Analyss Thermodynamcs offers many ways, both rgorous and approxmate, to evaluate the utlzaton of energy flows for open systems, as descrbed n chemcal engneerng texts [6, 7]. The basc analyss here s descrbed n [6]. Fgure 1.1 llustrates the concept for a steady-flow system, wth nlet and outlet streams at specfed absolute temperatures, T, and pressures, P, as well as sets of molar or mass amounts for the components, {N}, and energy that crosses the boundares as "shaft work", W s, and heat, Q. Note that f a stream has both vapor and lqud, ts specfcaton must nclude the amounts of components n both the phases. For pure components, ths means ether T or P, the total flow, N, and the qualty or fracton of the system that s vapor, x, would specfed. For mxtures, defnng the state s more elaborate. Fgure 1.1. Steady Flow System for Applyng Materal, Energy, and Entropy Relatons, Eqs. (1.1) and (1.2). The balance equatons for steady flow processes are: N h (T, P, x ) N o h o (T o, P o, x o ) s W s Q b Q e 0 b Q N s (T, P, x ) N o s o (T o, P o, x o ) b b T b Q e T e S gen 0 (1.1) (1.2) Here h s the molar enthalpy, s s the molar entropy, and {x} s the set of component mole fractons found from the set of numbers of moles of components, {N}, n a stream. Knetc and potental energy dfferences n the flowng streams have been gnored n Eq. (1.1). The summaton s over all nput streams,, and the summaton s over all output streams, o. Consequently, all molar flow numbers, {N} and {N} o, are postve. The summatons and are for the work and heat effects, respectvely, assocated wth external utltes. The speces amounts, {N} and {N} o are related by mass conservaton; moles are conserved only n nonreactng systems. These two relatons express the conservaton of energy among the forms generally treated n chemcal processes, Eq. (1.1), and the balance of entropy, Eq. (1.2), whch has entropy -3- o s b
4 conservaton for reversble cases (s gen rev = 0) and postve entropy generaton (s gen > 0) n real systems. The heat effects, {Q b} and Q e, are defned to be postve when heat s put n; they cross the outsde of the system boundary (surroundngs) at temperatures T b and T e. We dstngush Q e as the total heat dscharged or rejected (< 0) by the system to the process envronment at T e. If an amount of heat s transferred over a range of temperature such as n a heat exchanger wth a sngle phase flud, the log mean temperature should be used. A reversble process gves the absolute upper lmt, the best case, of the effcency of energy usage. That s, when s gen = 0, the soluton to Eqs. (1.1) and (1.2) wll gve the mnmum nput shaft work, hgh-temperature heat, or energy-carryng materal, to accomplsh a process that does not occur spontaneously. The shaft work s usually n the form of electrcty for pumps, compressors, and turbnes and s postve for work put n across the system boundary. Here, t s not the tradtonal Pv work assocated wth expandng or contractng the system boundary, snce that work cannot occur steadly. The choce of boundary locatons s made on the bass of convenence, known devce effcences, and avalable property estmates. Thus the boundary of a system may be drawn so that all work devces are nsde the system and so are unseen n the dagrams. Such devces may be drven by a stream that enters and leaves the system at dfferent condtons, such as by steam or hgh-pressure helum from a nuclear reactor, or by heats that cross the boundary at dfferent temperatures to run a heat engne. As long as the specfcatons of the work devces are consstent wth the boundary-crossng flows, the process results wll also be consstent. In partcular, as shown below, t can be qute convenent to do analyses that avod detals of partcular peces of equpment, whle connectng to real process flows. In any case, the locaton of the system boundares wll determne f W s s explct n the energy balance, Eq. (1.1), though t never appears n the entropy equaton, Eq. (1.2). These equatons for a steady-flow system must be computed n relaton to a bass chosen to represent the system. Here we wll use a defned amount of the desred product, e.g., per kmol of H 2 product, though producton rate per unt of tme, e.g., kmol per hour, can also be chosen. Note that ths model-free analyss does not expose locatons wthn a process where heat would need to flow up a temperature gradent. Ths must be found from a "pnch analyss" [8], though "exergy" analyses also can be used [9]. However, ths nvolves treatng the specfc process unts, whch we wsh to avod. In any case, snce complex processes normally have the possblty of temperature crossover, real energy requrements wll be dfferent, leadng to lower effcences than those found here, and process desgn must fnd where pnches appear. Ths may requre ultmate adjustment of the process flows, but once the present analyss s set up, that aspect can be done easly. The two energy/entropy relatons force two unknown quanttes to be found from the known varable values, whle gvng consstency among molar flows for all chemcal reactons occurrng. The result s that many dfferent cases can be set up; Table 1 llustrates a few of these. Table 2 lsts the common practcal applcatons of the cases. Some generalzatons about effects of changng specfed varables can be made for closed and for sngle-unt open systems. For example, we can state the consequences of s gen > 0,.e., of puttng n rreversbltes whle keepng the same flow condtons. For work-absorbng devces, such as heat pumps, Eq. (1.2) shows that entropy generaton means more heat must be removed (Q e real < Q e rev < 0), so Eq. (1.1) gves more work nput (W s real > W s rev > 0). For devces that produce work, such as heat engnes, real systems yeld less work (W s rev < W s real < 0) whle less heat s put n (0 < Q b real < Q b rev). -4-
5 Table 1.1. Some Optons for Specfcatons and Soluton Varables for Eqs. (1.1) and (1.2). Case Specfcatons Soluton Varables A T, P, N, T o, P o, N o, W s, Q b, T b, T e, s gen Q e, Q bn B T, P, N, T o, P o, N o, W s, Q b, T b, T e, s gen Q e, W sn C T, P, N,, T o, P o, N o, W s, Q b, T b, T e, Q e W sn, s gen D T, P, N, T o, P o, N o, W s, Q b, T b, T e Q e, s gen E T, P, N,, P o, N o, W s, Q b, T b, T e, Q e T o, s gen F T, P, N,, P o, N o, W s, Q b, T b, T e, Q e, s gen T o, N n G T, P, N,, P o, N o, W s, Q b, T b, T e, s gen Q e, T o H T, P, N,, P o, N o, W s, Q b, T b, T e, Q e, s gen T o, W sn J T, P, N,, T o, P o, N o, W s, Q b, T b, T e, s gen Q e, N n * Includes all elements of set except n whch s solved for Note agan that 2-phase systems requre a specfcaton of the relatve amounts of the phases, such as by the qualty, x V, n a pure component system. Table 1.2. Practcal Applcatons of the Cases n Table 1. Case Common Practcal Applcaton A Heat effects on a dstllaton column (Desgn or Analyss) B Work and heat rejecton of a turbne, compressor, or pump (Analyss) C Work and rreversblty of a turbne, compressor, or pump (Analyss) D E F Outlet state and flow nto a turbne, compressor, or pump (Desgn) G H J Problem 1.1 Complete Table 1.2 for Cases E - J. For complex open systems, the nterplay among the work, heat, and stream flows and condtons can prevent smple generalzatons. Yet n cases where energy or hgh-energy substances are produced, entropy generaton handles all of the effects of rreversbltes. These can be cataloged as energy costs: (A) puttng n more energy by ncreasng nput heat (more postve Q b), hgher h (usually by hgher T ), and/or greater {N }, and (B) takng out more energy, ether by more heat output (more negatve Q e), hgher h o (usually by hgher T o), and/or greater {N o}, whch must be consstent wth {N }. Thus, to obtan the same power from a real steam power cycle, rreversblty (postve entropy generaton) requres more nput heat to produce more steam or the nput heat must be at a hgher temperature (and/or pressure). In addton, ether the temperature of the outlet heat s hgher, or more heat must be removed. For a process producng a gven amount of hydrogen from nput energy carred by helum at a gven pressure and temperature from a nuclear plant, f s gen s ncreased, the soluton to Eqs. (1.1) and (1.2) means more He flow or hgher energy condtons and more heat rejecton. Problem 1.2 Extend Tables 1.1 and 2.1 to other cases. Comment on ther expected usefulness n real engneerng work. -5-
6 References [1] U.S. Department of Energy Hydrogen Program (2011). Retreved August 31, 2011, from [2] Rand, D.A.J., Dell, R.M., Hunt, J.C.R., "Hydrogen Energy: Challenges and Prospects" RSC Publshng, Cambrdge, 2007, ISBN-10: X. [3] Hydrogen Producton (2006). Retreved August 31, 2011, from [4] Sankaranarayanan, K., de Swaan Arons, J., van der Koo, H.J. "Effcency and Sustanablty n the Energy and Chemcal Industres: Scentfc Prncples and Case Studes, 2nd Edton", CRC Press, 2010, ISBN-10: [5] O'Connell, J.P., Narkprasert, P., Gorensek, M.B., Process model-free analyss for thermodynamc effcences of sulfur processes for thermochemcal water decomposton, Int. J. Hydrogen Energy, 2009, 34, [6] Smth, J.M., Van Ness, H.C., Abbott, M.M., "Introducton to Chemcal Engneerng Thermodynamcs, 7th Edton", McGraw-Hll; 2005, ISBN-10: Sandler, S.I., "Chemcal, Bochemcal, and Engneerng Thermodynamcs, 4th Edton", Wley, 2006; ISBN-10: Koretsky, M.D., "Engneerng and Chemcal Thermodynamcs", Wley; 2003, ISBN-10: Ellott, J.R., Lra, C.T. "Introductory Chemcal Engneerng Thermodynamcs", Prentce Hall; 1999, ISBN-10: [7] O'Connell, J.P., Hale, J.M. "Thermodynamcs: Fundamentals for Applcatons: Cambrdge Press, Cambrdge, 2005, ISBN-10: [8] Kemp, I.C., "Pnch Analyss and Process Integraton, 2nd Edton: A User Gude on Process Integraton for the Effcent Use of Energy", Butterworth-Henemann; 2007, ISBN-10: [9] Sato, N. "Chemcal Energy and Exergy. An Introducton to Chemcal Thermodynamcs for Engneers", Elsever, 2004, ISBN 10: X. -6-
Module 3: The Whole-Process Perspective for Thermochemical Hydrogen
"Thermodynamc Analyss of Processes for Hydrogen Generaton by Decomposton of Water" by John P. O'Connell Department of Chemcal Engneerng Unversty of Vrgna Charlottesvlle, VA 2294-4741 A Set of Energy Educaton
More informationEnergy, Entropy, and Availability Balances Phase Equilibria. Nonideal Thermodynamic Property Models. Selecting an Appropriate Model
Lecture 4. Thermodynamcs [Ch. 2] Energy, Entropy, and Avalablty Balances Phase Equlbra - Fugactes and actvty coeffcents -K-values Nondeal Thermodynamc Property Models - P-v-T equaton-of-state models -
More informationSupplementary Notes for Chapter 9 Mixture Thermodynamics
Supplementary Notes for Chapter 9 Mxture Thermodynamcs Key ponts Nne major topcs of Chapter 9 are revewed below: 1. Notaton and operatonal equatons for mxtures 2. PVTN EOSs for mxtures 3. General effects
More informationIntroduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law:
CE304, Sprng 2004 Lecture 4 Introducton to Vapor/Lqud Equlbrum, part 2 Raoult s Law: The smplest model that allows us do VLE calculatons s obtaned when we assume that the vapor phase s an deal gas, and
More informationCHAPTER 7 ENERGY BALANCES SYSTEM SYSTEM. * What is energy? * Forms of Energy. - Kinetic energy (KE) - Potential energy (PE) PE = mgz
SYSTM CHAPTR 7 NRGY BALANCS 1 7.1-7. SYSTM nergy & 1st Law of Thermodynamcs * What s energy? * Forms of nergy - Knetc energy (K) K 1 mv - Potental energy (P) P mgz - Internal energy (U) * Total nergy,
More information( ) 1/ 2. ( P SO2 )( P O2 ) 1/ 2.
Chemstry 360 Dr. Jean M. Standard Problem Set 9 Solutons. The followng chemcal reacton converts sulfur doxde to sulfur troxde. SO ( g) + O ( g) SO 3 ( l). (a.) Wrte the expresson for K eq for ths reacton.
More informationOpen Systems: Chemical Potential and Partial Molar Quantities Chemical Potential
Open Systems: Chemcal Potental and Partal Molar Quanttes Chemcal Potental For closed systems, we have derved the followng relatonshps: du = TdS pdv dh = TdS + Vdp da = SdT pdv dg = VdP SdT For open systems,
More informationChemical Engineering Department University of Washington
Chemcal Engneerng Department Unversty of Washngton ChemE 60 - Exam I July 4, 003 - Mass Flow Rate of Steam Through a Turbne (5 onts) Steam enters a turbne at 70 o C and.8 Ma and leaves at 00 ka wth a qualty
More informationOutline. Unit Eight Calculations with Entropy. The Second Law. Second Law Notes. Uses of Entropy. Entropy is a Property.
Unt Eght Calculatons wth Entropy Mechancal Engneerng 370 Thermodynamcs Larry Caretto October 6, 010 Outlne Quz Seven Solutons Second law revew Goals for unt eght Usng entropy to calculate the maxmum work
More informationAdiabatic Sorption of Ammonia-Water System and Depicting in p-t-x Diagram
Adabatc Sorpton of Ammona-Water System and Depctng n p-t-x Dagram J. POSPISIL, Z. SKALA Faculty of Mechancal Engneerng Brno Unversty of Technology Techncka 2, Brno 61669 CZECH REPUBLIC Abstract: - Absorpton
More informationCinChE Problem-Solving Strategy Chapter 4 Development of a Mathematical Model. formulation. procedure
nhe roblem-solvng Strategy hapter 4 Transformaton rocess onceptual Model formulaton procedure Mathematcal Model The mathematcal model s an abstracton that represents the engneerng phenomena occurrng n
More informationThe ChemSep Book. Harry A. Kooijman Consultant. Ross Taylor Clarkson University, Potsdam, New York University of Twente, Enschede, The Netherlands
The ChemSep Book Harry A. Koojman Consultant Ross Taylor Clarkson Unversty, Potsdam, New York Unversty of Twente, Enschede, The Netherlands Lbr Books on Demand www.bod.de Copyrght c 2000 by H.A. Koojman
More informationFundamental Considerations of Fuel Cells for Mobility Applications
Fundamental Consderatons of Fuel Cells for Moblty Applcatons Davd E. Foster Engne Research Center Unversty of Wsconsn - Madson Future Engnes and Ther Fuels ERC 2011 Symposum June 9, 2011 Motvaton Reducng
More informationPART I: MULTIPLE CHOICE (32 questions, each multiple choice question has a 2-point value, 64 points total).
CHEMISTRY 123-07 Mdterm #2 answer key November 04, 2010 Statstcs: Average: 68 p (68%); Hghest: 91 p (91%); Lowest: 37 p (37%) Number of students performng at or above average: 58 (53%) Number of students
More informationSolution Thermodynamics
Soluton hermodynamcs usng Wagner Notaton by Stanley. Howard Department of aterals and etallurgcal Engneerng South Dakota School of nes and echnology Rapd Cty, SD 57701 January 7, 001 Soluton hermodynamcs
More informationSupporting Information
Supportng Informaton The neural network f n Eq. 1 s gven by: f x l = ReLU W atom x l + b atom, 2 where ReLU s the element-wse rectfed lnear unt, 21.e., ReLUx = max0, x, W atom R d d s the weght matrx to
More informationStructure and Drive Paul A. Jensen Copyright July 20, 2003
Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.
More informationReview of Classical Thermodynamics
Revew of Classcal hermodynamcs Physcs 4362, Lecture #1, 2 Syllabus What s hermodynamcs? 1 [A law] s more mpressve the greater the smplcty of ts premses, the more dfferent are the knds of thngs t relates,
More informationThermodynamics General
Thermodynamcs General Lecture 1 Lecture 1 s devoted to establshng buldng blocks for dscussng thermodynamcs. In addton, the equaton of state wll be establshed. I. Buldng blocks for thermodynamcs A. Dmensons,
More informationGeneral Thermodynamics for Process Simulation. Dr. Jungho Cho, Professor Department of Chemical Engineering Dong Yang University
General Thermodynamcs for Process Smulaton Dr. Jungho Cho, Professor Department of Chemcal Engneerng Dong Yang Unversty Four Crtera for Equlbra μ = μ v Stuaton α T = T β α β P = P l μ = μ l1 l 2 Thermal
More informationName: SID: Discussion Session:
Name: SID: Dscusson Sesson: Chemcal Engneerng Thermodynamcs 141 -- Fall 007 Thursday, November 15, 007 Mdterm II SOLUTIONS - 70 mnutes 110 Ponts Total Closed Book and Notes (0 ponts) 1. Evaluate whether
More information10.34 Numerical Methods Applied to Chemical Engineering Fall Homework #3: Systems of Nonlinear Equations and Optimization
10.34 Numercal Methods Appled to Chemcal Engneerng Fall 2015 Homework #3: Systems of Nonlnear Equatons and Optmzaton Problem 1 (30 ponts). A (homogeneous) azeotrope s a composton of a multcomponent mxture
More informationAssignment 4. Adsorption Isotherms
Insttute of Process Engneerng Assgnment 4. Adsorpton Isotherms Part A: Compettve adsorpton of methane and ethane In large scale adsorpton processes, more than one compound from a mxture of gases get adsorbed,
More informationUncertainty in measurements of power and energy on power networks
Uncertanty n measurements of power and energy on power networks E. Manov, N. Kolev Department of Measurement and Instrumentaton, Techncal Unversty Sofa, bul. Klment Ohrdsk No8, bl., 000 Sofa, Bulgara Tel./fax:
More informationTemperature. Chapter Heat Engine
Chapter 3 Temperature In prevous chapters of these notes we ntroduced the Prncple of Maxmum ntropy as a technque for estmatng probablty dstrbutons consstent wth constrants. In Chapter 9 we dscussed the
More information#64. ΔS for Isothermal Mixing of Ideal Gases
#64 Carnot Heat Engne ΔS for Isothermal Mxng of Ideal Gases ds = S dt + S T V V S = P V T T V PV = nrt, P T ds = v T = nr V dv V nr V V = nrln V V = - nrln V V ΔS ΔS ΔS for Isothermal Mxng for Ideal Gases
More informationLecture 12. Transport in Membranes (2)
Lecture 12. Transport n embranes (2) odule Flow Patterns - Perfect mxng - Countercurrent flow - Cocurrent flow - Crossflow embrane Cascades External ass-transfer Resstances Concentraton Polarzaton and
More informationNumerical Heat and Mass Transfer
Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and
More informationSolution Thermodynamics
CH2351 Chemcal Engneerng Thermodynamcs II Unt I, II www.msubbu.n Soluton Thermodynamcs www.msubbu.n Dr. M. Subramanan Assocate Professor Department of Chemcal Engneerng Sr Svasubramanya Nadar College of
More informationmodeling of equilibrium and dynamic multi-component adsorption in a two-layered fixed bed for purification of hydrogen from methane reforming products
modelng of equlbrum and dynamc mult-component adsorpton n a two-layered fxed bed for purfcaton of hydrogen from methane reformng products Mohammad A. Ebrahm, Mahmood R. G. Arsalan, Shohreh Fatem * Laboratory
More informationIndeterminate pin-jointed frames (trusses)
Indetermnate pn-jonted frames (trusses) Calculaton of member forces usng force method I. Statcal determnacy. The degree of freedom of any truss can be derved as: w= k d a =, where k s the number of all
More informationIf two volatile and miscible liquids are combined to form a solution, Raoult s law is not obeyed. Use the experimental data in Table 9.
9.9 Real Solutons Exhbt Devatons from Raoult s Law If two volatle and mscble lquds are combned to form a soluton, Raoult s law s not obeyed. Use the expermental data n Table 9.3: Physcal Chemstry 00 Pearson
More informationProblem Set #6 solution, Chem 340, Fall 2013 Due Friday, Oct 11, 2013 Please show all work for credit
Problem Set #6 soluton, Chem 340, Fall 2013 Due Frday, Oct 11, 2013 Please show all work for credt To hand n: Atkns Chap 3 Exercses: 3.3(b), 3.8(b), 3.13(b), 3.15(b) Problems: 3.1, 3.12, 3.36, 3.43 Engel
More informationPERFORMANCE OF HEAVY-DUTY PLANETARY GEARS
THE INTERNATIONAL CONFERENCE OF THE CARPATHIAN EURO-REGION SPECIALISTS IN INDUSTRIAL SYSTEMS 6 th edton PERFORMANCE OF HEAVY-DUTY PLANETARY GEARS Attla Csobán, Mhály Kozma 1, 1 Professor PhD., Eng. Budapest
More informationA Simple Inventory System
A Smple Inventory System Lawrence M. Leems and Stephen K. Park, Dscrete-Event Smulaton: A Frst Course, Prentce Hall, 2006 Hu Chen Computer Scence Vrgna State Unversty Petersburg, Vrgna February 8, 2017
More informationI wish to publish my paper on The International Journal of Thermophysics. A Practical Method to Calculate Partial Properties from Equation of State
I wsh to publsh my paper on The Internatonal Journal of Thermophyscs. Ttle: A Practcal Method to Calculate Partal Propertes from Equaton of State Authors: Ryo Akasaka (correspondng author) 1 and Takehro
More informationThermodynamics Second Law Entropy
Thermodynamcs Second Law Entropy Lana Sherdan De Anza College May 8, 2018 Last tme the Boltzmann dstrbuton (dstrbuton of energes) the Maxwell-Boltzmann dstrbuton (dstrbuton of speeds) the Second Law of
More informationAmiri s Supply Chain Model. System Engineering b Department of Mathematics and Statistics c Odette School of Business
Amr s Supply Chan Model by S. Ashtab a,, R.J. Caron b E. Selvarajah c a Department of Industral Manufacturng System Engneerng b Department of Mathematcs Statstcs c Odette School of Busness Unversty of
More informationSampling Theory MODULE VII LECTURE - 23 VARYING PROBABILITY SAMPLING
Samplng heory MODULE VII LECURE - 3 VARYIG PROBABILIY SAMPLIG DR. SHALABH DEPARME OF MAHEMAICS AD SAISICS IDIA ISIUE OF ECHOLOGY KAPUR he smple random samplng scheme provdes a random sample where every
More informationProcess Modeling. Improving or understanding chemical process operation is a major objective for developing a dynamic process model
Process Modelng Improvng or understandng chemcal process operaton s a major objectve for developng a dynamc process model Balance equatons Steady-state balance equatons mass or energy mass or energy enterng
More informationA Self-Consistent Gibbs Excess Mixing Rule for Cubic Equations of State: derivation and fugacity coefficients
A Self-Consstent Gbbs Excess Mxng Rule for Cubc Equatons of State: dervaton and fugacty coeffcents Paula B. Staudt, Rafael de P. Soares Departamento de Engenhara Químca, Escola de Engenhara, Unversdade
More informationEcon107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4)
I. Classcal Assumptons Econ7 Appled Econometrcs Topc 3: Classcal Model (Studenmund, Chapter 4) We have defned OLS and studed some algebrac propertes of OLS. In ths topc we wll study statstcal propertes
More informationOne-sided finite-difference approximations suitable for use with Richardson extrapolation
Journal of Computatonal Physcs 219 (2006) 13 20 Short note One-sded fnte-dfference approxmatons sutable for use wth Rchardson extrapolaton Kumar Rahul, S.N. Bhattacharyya * Department of Mechancal Engneerng,
More informationMcCabe-Thiele Diagrams for Binary Distillation
McCabe-Thele Dagrams for Bnary Dstllaton Tore Haug-Warberg Dept. of Chemcal Engneerng August 31st, 2005 F V 1 V 2 L 1 V n L n 1 V n+1 L n V N L N 1 L N L 0 VN+1 Q < 0 D Q > 0 B FIGURE 1: Smplfed pcture
More informationEntropy generation in a chemical reaction
Entropy generaton n a chemcal reacton E Mranda Área de Cencas Exactas COICET CCT Mendoza 5500 Mendoza, rgentna and Departamento de Físca Unversdad aconal de San Lus 5700 San Lus, rgentna bstract: Entropy
More informationElectrochemical Equilibrium Electromotive Force
CHM465/865, 24-3, Lecture 5-7, 2 th Sep., 24 lectrochemcal qulbrum lectromotve Force Relaton between chemcal and electrc drvng forces lectrochemcal system at constant T and p: consder Gbbs free energy
More informationχ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body
Secton.. Moton.. The Materal Body and Moton hyscal materals n the real world are modeled usng an abstract mathematcal entty called a body. Ths body conssts of an nfnte number of materal partcles. Shown
More informationHow Strong Are Weak Patents? Joseph Farrell and Carl Shapiro. Supplementary Material Licensing Probabilistic Patents to Cournot Oligopolists *
How Strong Are Weak Patents? Joseph Farrell and Carl Shapro Supplementary Materal Lcensng Probablstc Patents to Cournot Olgopolsts * September 007 We study here the specal case n whch downstream competton
More informationPhysics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1
P. Guterrez Physcs 5153 Classcal Mechancs D Alembert s Prncple and The Lagrangan 1 Introducton The prncple of vrtual work provdes a method of solvng problems of statc equlbrum wthout havng to consder the
More informationExperiment 1 Mass, volume and density
Experment 1 Mass, volume and densty Purpose 1. Famlarze wth basc measurement tools such as verner calper, mcrometer, and laboratory balance. 2. Learn how to use the concepts of sgnfcant fgures, expermental
More informationNon-Ideality Through Fugacity and Activity
Non-Idealty Through Fugacty and Actvty S. Patel Deartment of Chemstry and Bochemstry, Unversty of Delaware, Newark, Delaware 19716, USA Corresondng author. E-mal: saatel@udel.edu 1 I. FUGACITY In ths dscusson,
More informationDepartment of Statistics University of Toronto STA305H1S / 1004 HS Design and Analysis of Experiments Term Test - Winter Solution
Department of Statstcs Unversty of Toronto STA35HS / HS Desgn and Analyss of Experments Term Test - Wnter - Soluton February, Last Name: Frst Name: Student Number: Instructons: Tme: hours. Ads: a non-programmable
More information1. Int In e t rnal Losses: tak ta e k place plac in the inner passages adding heat to the flow medium 2. External losses:
he Losses of urbomachnes 1. Internal Losses: Losses whch take place n the nner passages of the machne and drectly connected wth rotor or flow of the medum and whch are addng heat to the flow medum 2. External
More informationComparison of Regression Lines
STATGRAPHICS Rev. 9/13/2013 Comparson of Regresson Lnes Summary... 1 Data Input... 3 Analyss Summary... 4 Plot of Ftted Model... 6 Condtonal Sums of Squares... 6 Analyss Optons... 7 Forecasts... 8 Confdence
More informationQ e E i /k B. i i i i
Water and Aqueous Solutons 3. Lattce Model of a Flud Lattce Models Lattce models provde a mnmalst, or coarse-graned, framework for descrbng the translatonal, rotatonal, and conformatonal degrees of freedom
More informationCOMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS
Avalable onlne at http://sck.org J. Math. Comput. Sc. 3 (3), No., 6-3 ISSN: 97-537 COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS
More informationIntroduction to Statistical Methods
Introducton to Statstcal Methods Physcs 4362, Lecture #3 hermodynamcs Classcal Statstcal Knetc heory Classcal hermodynamcs Macroscopc approach General propertes of the system Macroscopc varables 1 hermodynamc
More informationLOW BIAS INTEGRATED PATH ESTIMATORS. James M. Calvin
Proceedngs of the 007 Wnter Smulaton Conference S G Henderson, B Bller, M-H Hseh, J Shortle, J D Tew, and R R Barton, eds LOW BIAS INTEGRATED PATH ESTIMATORS James M Calvn Department of Computer Scence
More informationPrediction of steady state input multiplicities for the reactive flash separation using reactioninvariant composition variables
Insttuto Tecnologco de Aguascalentes From the SelectedWorks of Adran Bonlla-Petrcolet 2 Predcton of steady state nput multplctes for the reactve flash separaton usng reactonnvarant composton varables Jose
More informationModule 1 : The equation of continuity. Lecture 1: Equation of Continuity
1 Module 1 : The equaton of contnuty Lecture 1: Equaton of Contnuty 2 Advanced Heat and Mass Transfer: Modules 1. THE EQUATION OF CONTINUITY : Lectures 1-6 () () () (v) (v) Overall Mass Balance Momentum
More informationInductance Calculation for Conductors of Arbitrary Shape
CRYO/02/028 Aprl 5, 2002 Inductance Calculaton for Conductors of Arbtrary Shape L. Bottura Dstrbuton: Internal Summary In ths note we descrbe a method for the numercal calculaton of nductances among conductors
More informationIrreversible thermodynamics, a.k.a. Non-equilibrium thermodynamics (an introduction)
Process Engneernghermodynamcs course # 44304.0 v. 05 Irreversble thermodynamcs, a.k.a. Non-equlbrum thermodynamcs (an ntroducton) Ron Zevenhoven Åbo Akadem Unversty hermal and Flow Engneerng aboratory
More informationThe Minimum Universal Cost Flow in an Infeasible Flow Network
Journal of Scences, Islamc Republc of Iran 17(2): 175-180 (2006) Unversty of Tehran, ISSN 1016-1104 http://jscencesutacr The Mnmum Unversal Cost Flow n an Infeasble Flow Network H Saleh Fathabad * M Bagheran
More informationV T for n & P = constant
Pchem 365: hermodynamcs -SUMMARY- Uwe Burghaus, Fargo, 5 9 Mnmum requrements for underneath of your pllow. However, wrte your own summary! You need to know the story behnd the equatons : Pressure : olume
More informationDesign Equations. ν ij r i V R. ν ij r i. Q n components. = Q f c jf Qc j + Continuous Stirred Tank Reactor (steady-state and constant phase)
Desgn Equatons Batch Reactor d(v R c j ) dt = ν j r V R n dt dt = UA(T a T) r H R V R ncomponents V R c j C pj j Plug Flow Reactor d(qc j ) dv = ν j r 2 dt dv = R U(T a T) n r H R Q n components j c j
More informationChapter Newton s Method
Chapter 9. Newton s Method After readng ths chapter, you should be able to:. Understand how Newton s method s dfferent from the Golden Secton Search method. Understand how Newton s method works 3. Solve
More informationModule 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur
Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:
More informationOperating conditions of a mine fan under conditions of variable resistance
Paper No. 11 ISMS 216 Operatng condtons of a mne fan under condtons of varable resstance Zhang Ynghua a, Chen L a, b, Huang Zhan a, *, Gao Yukun a a State Key Laboratory of Hgh-Effcent Mnng and Safety
More informationCHEMISTRY Midterm #2 answer key October 25, 2005
CHEMISTRY 123-01 Mdterm #2 answer key October 25, 2005 Statstcs: Average: 70 pts (70%); Hghest: 97 pts (97%); Lowest: 33 pts (33%) Number of students performng at or above average: 62 (63%) Number of students
More informationLecture 14: Forces and Stresses
The Nuts and Bolts of Frst-Prncples Smulaton Lecture 14: Forces and Stresses Durham, 6th-13th December 2001 CASTEP Developers Group wth support from the ESF ψ k Network Overvew of Lecture Why bother? Theoretcal
More informationWinter 2008 CS567 Stochastic Linear/Integer Programming Guest Lecturer: Xu, Huan
Wnter 2008 CS567 Stochastc Lnear/Integer Programmng Guest Lecturer: Xu, Huan Class 2: More Modelng Examples 1 Capacty Expanson Capacty expanson models optmal choces of the tmng and levels of nvestments
More informationPhysics 3 (PHYF144) Chap 2: Heat and the First Law of Thermodynamics System. Quantity Positive Negative
Physcs (PHYF hap : Heat and the Frst aw of hermodynamcs -. Work and Heat n hermodynamc Processes A thermodynamc system s a system that may exchange energy wth ts surroundngs by means of heat and work.
More informationThermodynamics II. Department of Chemical Engineering. Prof. Kim, Jong Hak
Thermodynamcs II Department of Chemcal Engneerng Prof. Km, Jong Hak Soluton Thermodynamcs : theory Obectve : lay the theoretcal foundaton for applcatons of thermodynamcs to gas mxture and lqud soluton
More informationChapter 8 Indicator Variables
Chapter 8 Indcator Varables In general, e explanatory varables n any regresson analyss are assumed to be quanttatve n nature. For example, e varables lke temperature, dstance, age etc. are quanttatve n
More informationPsychology 282 Lecture #24 Outline Regression Diagnostics: Outliers
Psychology 282 Lecture #24 Outlne Regresson Dagnostcs: Outlers In an earler lecture we studed the statstcal assumptons underlyng the regresson model, ncludng the followng ponts: Formal statement of assumptons.
More informationGasometric Determination of NaHCO 3 in a Mixture
60 50 40 0 0 5 15 25 35 40 Temperature ( o C) 9/28/16 Gasometrc Determnaton of NaHCO 3 n a Mxture apor Pressure (mm Hg) apor Pressure of Water 1 NaHCO 3 (s) + H + (aq) Na + (aq) + H 2 O (l) + CO 2 (g)
More information2016 Wiley. Study Session 2: Ethical and Professional Standards Application
6 Wley Study Sesson : Ethcal and Professonal Standards Applcaton LESSON : CORRECTION ANALYSIS Readng 9: Correlaton and Regresson LOS 9a: Calculate and nterpret a sample covarance and a sample correlaton
More informationG4023 Mid-Term Exam #1 Solutions
Exam1Solutons.nb 1 G03 Md-Term Exam #1 Solutons 1-Oct-0, 1:10 p.m to :5 p.m n 1 Pupn Ths exam s open-book, open-notes. You may also use prnt-outs of the homework solutons and a calculator. 1 (30 ponts,
More informationModerator & Moderator System
NPTL Chemcal ngneerng Nuclear Reactor Technology Moderator & Moderator System K.S. Rajan Professor, School of Chemcal & Botechnology SASTRA Unversty Jont Intatve of IITs and IISc Funded by MHRD Page of
More information3. Be able to derive the chemical equilibrium constants from statistical mechanics.
Lecture #17 1 Lecture 17 Objectves: 1. Notaton of chemcal reactons 2. General equlbrum 3. Be able to derve the chemcal equlbrum constants from statstcal mechancs. 4. Identfy how nondeal behavor can be
More informationAnalysis of a methane partial oxidation mechanism relevant at the conditions of the anode channels of a solid-oxide fuel cell
Analyss of a methane partal odaton mechansm relevant at the condtons of the anode channels of a sold-ode fuel cell Á. Kramarcs, I. Gy. Zsély, T. Turány Insttute of Chemstry, Eötvös Unversty (ELTE, Budapest,
More informationDUE: WEDS FEB 21ST 2018
HOMEWORK # 1: FINITE DIFFERENCES IN ONE DIMENSION DUE: WEDS FEB 21ST 2018 1. Theory Beam bendng s a classcal engneerng analyss. The tradtonal soluton technque makes smplfyng assumptons such as a constant
More informationElectrical double layer: revisit based on boundary conditions
Electrcal double layer: revst based on boundary condtons Jong U. Km Department of Electrcal and Computer Engneerng, Texas A&M Unversty College Staton, TX 77843-318, USA Abstract The electrcal double layer
More informationAppendix II Summary of Important Equations
W. M. Whte Geochemstry Equatons of State: Ideal GasLaw: Coeffcent of Thermal Expanson: Compressblty: Van der Waals Equaton: The Laws of Thermdynamcs: Frst Law: Appendx II Summary of Important Equatons
More informationInner Product. Euclidean Space. Orthonormal Basis. Orthogonal
Inner Product Defnton 1 () A Eucldean space s a fnte-dmensonal vector space over the reals R, wth an nner product,. Defnton 2 (Inner Product) An nner product, on a real vector space X s a symmetrc, blnear,
More informationLecture 16 Statistical Analysis in Biomaterials Research (Part II)
3.051J/0.340J 1 Lecture 16 Statstcal Analyss n Bomaterals Research (Part II) C. F Dstrbuton Allows comparson of varablty of behavor between populatons usng test of hypothess: σ x = σ x amed for Brtsh statstcan
More informationONE DIMENSIONAL TRIANGULAR FIN EXPERIMENT. Technical Advisor: Dr. D.C. Look, Jr. Version: 11/03/00
ONE IMENSIONAL TRIANGULAR FIN EXPERIMENT Techncal Advsor: r..c. Look, Jr. Verson: /3/ 7. GENERAL OJECTIVES a) To understand a one-dmensonal epermental appromaton. b) To understand the art of epermental
More informationMore metrics on cartesian products
More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of
More informationTransfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system
Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng
More informationExercises of Chapter 2
Exercses of Chapter Chuang-Cheh Ln Department of Computer Scence and Informaton Engneerng, Natonal Chung Cheng Unversty, Mng-Hsung, Chay 61, Tawan. Exercse.6. Suppose that we ndependently roll two standard
More informationLinear Approximation with Regularization and Moving Least Squares
Lnear Approxmaton wth Regularzaton and Movng Least Squares Igor Grešovn May 007 Revson 4.6 (Revson : March 004). 5 4 3 0.5 3 3.5 4 Contents: Lnear Fttng...4. Weghted Least Squares n Functon Approxmaton...
More informationChapter 13. Gas Mixtures. Study Guide in PowerPoint. Thermodynamics: An Engineering Approach, 5th edition by Yunus A. Çengel and Michael A.
Chapter 3 Gas Mxtures Study Gude n PowerPont to accopany Therodynacs: An Engneerng Approach, 5th edton by Yunus A. Çengel and Mchael A. Boles The dscussons n ths chapter are restrcted to nonreactve deal-gas
More informationAxial Turbine Analysis
Axal Turbne Analyss From Euler turbomachnery (conservaton) equatons need to Nole understand change n tangental velocty to relate to forces on blades and power m W m rc e rc uc uc e Analye flow n a plane
More informationDesign of Reactive Distillation with Thermal Coupling for the Synthesis of Biodiesel using Genetic Algorithms
19 th European Symposum on Computer Aded Process Engneerng ESCAPE19 J. Jeowsk and J. Thulle (Edtors) 2009 Elsever B.V./Ltd. All rghts reserved. Desgn of Reactve Dstllaton wth Thermal Couplng for the Synthess
More informationLecture. Polymer Thermodynamics 0331 L Chemical Potential
Prof. Dr. rer. nat. habl. S. Enders Faculty III for Process Scence Insttute of Chemcal Engneerng Department of Thermodynamcs Lecture Polymer Thermodynamcs 033 L 337 3. Chemcal Potental Polymer Thermodynamcs
More informationVapor-Liquid Equilibria for Water+Hydrochloric Acid+Magnesium Chloride and Water+Hydrochloric Acid+Calcium Chloride Systems at Atmospheric Pressure
Chnese J. Chem. Eng., 4() 76 80 (006) RESEARCH OES Vapor-Lqud Equlbra for Water+Hydrochlorc Acd+Magnesum Chlorde and Water+Hydrochlorc Acd+Calcum Chlorde Systems at Atmospherc Pressure ZHAG Yng( 张颖 ) and
More informationUncertainty and auto-correlation in. Measurement
Uncertanty and auto-correlaton n arxv:1707.03276v2 [physcs.data-an] 30 Dec 2017 Measurement Markus Schebl Federal Offce of Metrology and Surveyng (BEV), 1160 Venna, Austra E-mal: markus.schebl@bev.gv.at
More informationIrreversible thermodynamics, a.k.a. Non-equilibrium thermodynamics: an introduction
Advanced Process hermodynamcs course # 4450.0 (5 sp) v. 07 Irreversble thermodynamcs, a.k.a. Non-equlbrum thermodynamcs: an ntroducton Ron Zevenhoven Åbo Akadem Unversty hermal and Flow Engneerng aboratory
More informationUniversity of Washington Department of Chemistry Chemistry 452/456 Summer Quarter 2014
Lecture 12 7/25/14 ERD: 7.1-7.5 Devoe: 8.1.1-8.1.2, 8.2.1-8.2.3, 8.4.1-8.4.3 Unversty o Washngton Department o Chemstry Chemstry 452/456 Summer Quarter 2014 A. Free Energy and Changes n Composton: The
More informationGrand canonical Monte Carlo simulations of bulk electrolytes and calcium channels
Grand canoncal Monte Carlo smulatons of bulk electrolytes and calcum channels Thess of Ph.D. dssertaton Prepared by: Attla Malascs M.Sc. n Chemstry Supervsor: Dr. Dezső Boda Unversty of Pannona Insttute
More information