Energy optimization in process systems and fuel cells /

Saved in:
Bibliographic Details
Author / Creator:Sieniutycz, Stanislaw, author.
Edition:Third edition.
Imprint:Amsterdam, Netherlands : Elsevier, 2018.
Description:1 online resource.
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11689946
Hidden Bibliographic Details
Other authors / contributors:Jeżowski, Jacek, author.
ISBN:9780081025581
0081025580
9780081025574
0081025572
Notes:Includes bibliographical references and index.
Online resource; title from PDF title page (ScienceDirect, viewed May 23, 2018).
Other form:Original 0081025572 9780081025574

MARC

LEADER 00000cam a2200000Ii 4500
001 11689946
005 20180928111357.3
006 m o d
007 cr cnu---unuuu
008 180523s2018 ne ob 001 0 eng d
019 |a 1037272360  |a 1037614018 
020 |a 9780081025581  |q (electronic bk.) 
020 |a 0081025580  |q (electronic bk.) 
020 |z 9780081025574  |q (print) 
020 |z 0081025572 
035 |a (OCoLC)1037096347  |z (OCoLC)1037272360  |z (OCoLC)1037614018 
035 9 |a (OCLCCM-CC)1037096347 
040 |a OPELS  |b eng  |e rda  |e pn  |c OPELS  |d N$T  |d EBLCP  |d STF  |d D6H  |d UAB  |d YDX  |d MERER  |d OCLCF  |d OCLCQ  |d OTZ  |d CNCGM  |d NLE 
049 |a MAIN 
050 4 |a TP155.75 
066 |c (S 
072 7 |a SCI  |x 013060  |2 bisacsh 
072 7 |a TEC  |x 009010  |2 bisacsh 
100 1 |a Sieniutycz, Stanislaw,  |e author.  |0 http://id.loc.gov/authorities/names/n90672095  |1 http://viaf.org/viaf/2539333/ 
245 1 0 |a Energy optimization in process systems and fuel cells /  |c Stanisław Sieniutycz, Jacek Jeżowski. 
250 |a Third edition. 
264 1 |a Amsterdam, Netherlands :  |b Elsevier,  |c 2018. 
300 |a 1 online resource. 
336 |a text  |b txt  |2 rdacontent  |0 http://id.loc.gov/vocabulary/contentTypes/txt 
337 |a computer  |b c  |2 rdamedia  |0 http://id.loc.gov/vocabulary/mediaTypes/c 
338 |a online resource  |b cr  |2 rdacarrier  |0 http://id.loc.gov/vocabulary/carriers/cr 
504 |a Includes bibliographical references and index. 
588 0 |a Online resource; title from PDF title page (ScienceDirect, viewed May 23, 2018). 
505 0 |a Front Cover; Energy Optimizationin Process Systemsand Fuel Cells; Copyright; Contents; Preface; Acknowledgements; Chapter 1: Brief review of static optimization methods; 1.1. Introduction: Significance of mathematical model; 1.2. Unconstrained problems; 1.3. Equality constraints and Lagrange multipliers; 1.4. Methods of mathematical programming; 1.5. Iterative search methods; 1.6. On some stochastic optimization techniques; 1.6.1. Introduction; 1.6.2. Adaptive random search optimization; 1.6.3. Genetic algorithms; 1.6.4. Simulating annealing; Acceptance criterion; Initial simplex generation 
505 8 |a 2.5.1. Continuous optimization problem2.5.2. Optimal performance functions and related HJB equations; 2.5.3. Optimal performance in terms of the forward DP algorithm; 2.5.4. Link with gauged integrals of performance; 2.5.5. Diversity of equivalent formulations; 2.5.6. Passage to the Hamilton-Jacobi equation; 2.6. Continuous maximum principle; 2.7. Calculus of variations; 2.8. Viscosity solutions and nonsmooth analyzes; 2.9. Stochastic control and stochastic maximum principle; Chapter 3: Energy limits for thermal engines and heat pumps at steady states 
505 8 |a 3.1. Introduction: Role of optimization in determining thermodynamic limits3.2. Classical problem of thermal engine driven by heat flux; 3.2.1. Maximum power in thermal engines; 3.2.2. Lagrange multipliers and endoreversible system; 3.2.3. Analysis of imperfect units in terms of efficiency control; 3.2.4. Introducing Carnot temperature controls; 3.2.5. Maximum power in terms of both Carnot temperatures; 3.2.6. Entropy production and flux-dependent efficiencies; 3.3. Towards work limits in sequential systems; 3.4. Energy utilization and heat-pumps; 3.5. Thermal separation processes 
505 8 |a 3.6. Steady chemical, electrochemical and other systems3.7. Limits in living systems; 3.8. Final remarks; Chapter 4: Hamiltonian optimization of imperfect cascades; 4.1. Basic properties of irreversible cascade operations with a work flux; 4.2. Description of imperfect units in terms of Carnot temperature control; 4.3. Single-stage formulae in a model of cascade operation; 4.4. Work optimization in cascade by discrete maximum principle; 4.5. Example; 4.6. Continuous imperfect system with two finite reservoirs; 4.7. Final remarks; Chapter 5: Maximum power from solar energy 
650 0 |a Chemical process control. 
650 0 |a Mathematical optimization.  |0 http://id.loc.gov/authorities/subjects/sh85082127 
650 0 |a Fuel cells.  |0 http://id.loc.gov/authorities/subjects/sh85052220 
650 7 |a SCIENCE / Chemistry / Industrial & Technical.  |2 bisacsh 
650 7 |a TECHNOLOGY & ENGINEERING / Chemical & Biochemical.  |2 bisacsh 
650 7 |a Chemical process control.  |2 fast  |0 http://id.worldcat.org/fast/fst00853144 
650 7 |a Fuel cells.  |2 fast  |0 http://id.worldcat.org/fast/fst00935856 
650 7 |a Mathematical optimization.  |2 fast  |0 http://id.worldcat.org/fast/fst01012099 
655 4 |a Electronic books. 
700 1 |a Jeżowski, Jacek,  |e author.  |0 http://id.loc.gov/authorities/names/nb2009015669  |1 http://viaf.org/viaf/90489567/ 
776 0 8 |c Original  |z 0081025572  |z 9780081025574  |w (OCoLC)1022080137 
880 8 |6 505-00  |a Determination of initial temperatureTemperature decrease-Cooling scheme; Equilibrium condition-Point (6) of the general algorithm; Stopping (convergence) criterion; Control parameters settings; 1.6.5. Equality constraints handling in ARS, GA and SA; Chapter 2: Dynamic optimization problems; 2.1. Discrete representations and dynamic programming algorithms; 2.2. Recurrence equations; 2.3. Discrete processes linear with respect to the time interval; 2.4. Discrete algorithm of Pontryagin's type for processes linear in θn; 2.5. Hamilton-Jacobi-Bellman equations for continuous systems 
929 |a oclccm 
999 f f |i 3f2abc7a-c0ab-5b85-9cf3-c5c66d90fec9  |s 7812d1c9-9837-5c7c-8259-f99d9205a934 
928 |t Library of Congress classification  |a TP155.75  |l Online  |c UC-FullText  |u https://www.sciencedirect.com/science/book/9780081025574  |z Elsevier  |g ebooks  |i 11128714