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Energy optimization in process systems and fuel cells /
Energy Optimization in Process Systems and Fuel Cells, Third Edition covers the optimization and integration of energy systems, with a particular focus on fuel cell technology. With rising energy prices, imminent energy shortages, and the increasing environmental impacts of energy production, energy...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam, Netherlands :
Elsevier,
2018.
|
| Edición: | Third edition. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 072 | 7 | |a SCI |x 013060 |2 bisacsh | |
| 072 | 7 | |a TEC |x 009010 |2 bisacsh | |
| 082 | 0 | 4 | |a 660/.2815 |2 23 |
| 100 | 1 | |a Sieniutycz, Stanislaw, |e author. | |
| 245 | 1 | 0 | |a Energy optimization in process systems and fuel cells / |c Stanis�aw Sieniutycz, Jacek Je�zowski. |
| 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 | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 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 | |
| 520 | 8 | |a Energy Optimization in Process Systems and Fuel Cells, Third Edition covers the optimization and integration of energy systems, with a particular focus on fuel cell technology. With rising energy prices, imminent energy shortages, and the increasing environmental impacts of energy production, energy optimization and systems integration is critically important. The book applies thermodynamics, kinetics and economics to study the effect of equipment size, environmental parameters, and economic factors on optimal power production and heat integration. Author Stanislaw Sieniutycz, highly recognized for his expertise and teaching, shows how costs can be substantially reduced, particularly in utilities common in the chemical industry. This third edition contains substantial revisions and modifications, with new material on catalytic reactors, sorption systems, sorbent or catalyst regenerators, dryers, and more. Presents a unified approach to the optimization and integration of energy systemsIncludes a large number of examples treating dynamical systemsProvides exposition showing the power of thermodynamicsContains a large number of maximum power analyses and their extensions. | |
| 650 | 0 | |a Chemical process control. | |
| 650 | 0 | |a Mathematical optimization. | |
| 650 | 0 | |a Fuel cells. | |
| 650 | 6 | |a Proc�ed�es chimiques |x Contr�ole. |0 (CaQQLa)201-0033775 | |
| 650 | 6 | |a Optimisation math�ematique. |0 (CaQQLa)201-0007680 | |
| 650 | 7 | |a SCIENCE |x Chemistry |x Industrial & Technical. |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Chemical & Biochemical. |2 bisacsh | |
| 650 | 7 | |a Chemical process control |2 fast |0 (OCoLC)fst00853144 | |
| 650 | 7 | |a Fuel cells |2 fast |0 (OCoLC)fst00935856 | |
| 650 | 7 | |a Mathematical optimization |2 fast |0 (OCoLC)fst01012099 | |
| 700 | 1 | |a Je�zowski, Jacek, |e author. | |
| 776 | 0 | 8 | |i Print version: |z 0081025572 |z 9780081025574 |w (OCoLC)1022080137 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780081025574 |z Texto completo |
| 880 | 8 | |6 505-00/(S |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 | |