Patel / Savsani / Tawhid Thermal System Optimization

A Population-Based Metaheuristic Approach
1. Auflage 2019
ISBN: 978-3-030-10477-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 488 Seiten

This book presents a wide-ranging review of the latest research and development directions in thermal systems optimization using population-based metaheuristic methods. It helps readers to identify the best methods for their own systems, providing details of mathematical models and algorithms suitable for implementation. To reduce mathematical complexity, the authors focus on optimization of individual components rather than taking on systems as a whole. They employ numerous case studies: heat exchangers; cooling towers; power generators; refrigeration systems; and others. The importance of these subsystems to real-world situations from internal combustion to air-conditioning is made clear.
The thermal systems under discussion are analysed using various metaheuristic techniques, with comparative results for different systems. The inclusion of detailed MATLAB® codes in the text will assist readers-researchers, practitioners or students-to assess these techniques for different real-world systems. Thermal System Optimization is a useful tool for thermal design researchers and engineers in academia and industry, wishing to perform thermal system identification with properly optimized parameters. It will be of interest for researchers, practitioners and graduate students with backgrounds in mechanical, chemical and power engineering.

Dr. Vivek Patel is working as an assistant professor at P.D. Petroleum University, Gandhinagar, India. He has completed his Ph.D. in the filed of thermal system optimization from S.V. National Institute of Technology, Surat, India. His thesis titled, 'Design Optimization of Thermal Systems Using Advanced Optimization Techniques'. He has more than 13 years of academic experience. His research area includes thermal system design, advanced optimization techniques, solar thermal systems and energy management.
Dr. Vimal Savsani is working as an assistant professor at P.D. Petroleum University, Gandhinagar, India. He has completed his Ph.D. in the filed of mechanical design optimization from S.V. National Institute of Technology, Surat, India. His thesis titled, 'Design Optimization of Mechanical Elements Using Advance Optimization Techniques '. He was a post-doctoral fellow at Thompson Rivers University, BC,Canada. He has also to his credit one book titled 'Mechanical design optimization using advanced optimization techniques', published by Springer, London. He has more than 11 years of academic experience. His research area includes Advanced meta-heuristics, mechanical system desing and optimization, automobile suspension optimization, structure optimization and wind farm layout optimization.
Mohamed A. Tawhid received his PhD in Applied Mathematics from the University of Maryland Baltimore County, Maryland, USA. From 2000 to 2002, he was a Postdoctoral Fellow at the Faculty of Management, McGill University, Montreal, Quebec, Canada. Currently, he is a full professor at Thompson Rivers University. His recent research interests are best described as metaheuristic/ evolutionary computing/artificial intelligence algorithms and their applications in engineering and data science. He has served on editorial board several journals. He has also worked on several industrial projects in BC, Canada.

Autoren/Hrsg.

Patel, Vivek K.

Savsani, Vimal J.

Tawhid, Mohamed A.

Inhaltsverzeichnis

1;Preface;6
2;Contents;9
3;1 Introduction;15
3.1;Abstract;15
3.2;References;18
4;2 Metaheuristic Methods;20
4.1;Abstract;20
4.2;2.1 Genetic Algorithm (GA);21
4.2.1;2.1.1 Reproduction;21
4.2.2;2.1.2 Crossover;22
4.2.3;2.1.3 Mutation;22
4.3;2.2 Particle Swarm Optimization (PSO) Algorithm;23
4.4;2.3 Differential Evolution (DE) Algorithm;25
4.5;2.4 Artificial Bee Colony (ABC) Algorithm;27
4.6;2.5 Cuckoo Search Algorithm (CSA);29
4.7;2.6 Teaching–Learning-Based Optimization (TLBO) Algorithm;30
4.7.1;2.6.1 Teacher Phase;31
4.7.2;2.6.2 Learner Phase;31
4.8;2.7 Symbiotic Organism Search (SOS) Algorithm;32
4.8.1;2.7.1 Mutualism Phase;33
4.8.2;2.7.2 Commensalism Phase;33
4.8.3;2.7.3 Parasitism Phase;34
4.9;2.8 Water Wave Optimization (WWO) Algorithm;35
4.9.1;2.8.1 Propagation Operator;35
4.9.2;2.8.2 Refraction Operator;36
4.9.3;2.8.3 Breaking Operator;36
4.10;2.9 Heat Transfer Search (HTS) Algorithm;37
4.11;2.10 Passing Vehicle Search (PVS) Algorithm;40
4.12;2.11 Sine Cosine Algorithm (SCA);42
4.13;2.12 Parameter Tuning of Algorithms;43
4.14;References;45
5;3 Thermal Design and Optimization of Heat Exchangers;46
5.1;Abstract;46
5.2;3.1 Shell and Tube Heat Exchanger (STHE);46
5.2.1;3.1.1 Thermal Model;50
5.2.2;3.1.2 Case Study, Objective Function Description, and Constraints;58
5.2.3;3.1.3 Results and Discussion;60
5.3;3.2 Plate-Fin Heat Exchanger (PFHE);62
5.3.1;3.2.1 Thermal Model;66
5.3.2;3.2.2 Case Study, Objective Function Description, and Constraints;70
5.3.3;3.2.3 Results and Discussion;72
5.4;3.3 Fin and Tube Heat Exchanger (FTHE);75
5.4.1;3.3.1 Thermal Model;77
5.4.2;3.3.2 Case Study, Objective Function Description, and Constraints;81
5.4.3;3.3.3 Results and Discussion;83
5.5;3.4 Regenerative Heat Exchanger (Rotary Regenerator);85
5.5.1;3.4.1 Thermal Model;87
5.5.2;3.4.2 Case Study, Objective Function Description, and Constraints;91
5.5.3;3.4.3 Results and Discussion;92
5.6;3.5 Plate Heat Exchanger (PHE);95
5.6.1;3.5.1 Thermal Model;97
5.6.2;3.5.2 Case Study, Objective Function Description, and Constraints;102
5.6.3;3.5.3 Results and Discussion;103
5.7;References;105
6;4 Thermal Design and Optimization of Heat Engines and Heat Pumps;112
6.1;Abstract;112
6.2;4.1 Carnot Heat Engine;113
6.2.1;4.1.1 Thermal Model;116
6.2.2;4.1.2 Case Study, Objective Function Description, and Constraints;118
6.2.3;4.1.3 Results and Discussion;119
6.3;4.2 Rankine Heat Engine;121
6.3.1;4.2.1 Thermal Model;124
6.3.2;4.2.2 Case Study, Objective Function Description, and Constraints;127
6.3.3;4.2.3 Results and Discussion;128
6.4;4.3 Stirling Heat Engine;131
6.4.1;4.3.1 Thermal Model;133
6.4.2;4.3.2 Case Study, Objective Function Description, and Constraints;137
6.4.3;4.3.3 Results and Discussion;138
6.5;4.4 Brayton Heat Engine;141
6.5.1;4.4.1 Thermal Model;144
6.5.2;4.4.2 Case Study, Objective Function Description, and Constraints;148
6.5.3;4.4.3 Results and Discussion;149
6.6;4.5 Ericsson Heat Engine;152
6.6.1;4.5.1 Thermal Model;154
6.6.2;4.5.2 Case Study, Objective Function Description, and Constraints;157
6.6.3;4.5.3 Results and Discussion;158
6.7;4.6 Diesel Heat Engine;160
6.7.1;4.6.1 Thermal Model;163
6.7.2;4.6.2 Case Study, Objective Function Description, and Constraints;166
6.7.3;4.6.3 Results and Discussion;167
6.8;4.7 Radiative-Type Heat Engine;169
6.8.1;4.7.1 Thermal Model;171
6.8.2;4.7.2 Case Study, Objective Function Description, and Constraints;174
6.8.3;4.7.3 Results and Discussion;175
6.9;4.8 Stirling Heat Pump;177
6.9.1;4.8.1 Thermal Model;180
6.9.2;4.8.2 Case Study, Objective Function Description, and Constraints;183
6.9.3;4.8.3 Results and Discussion;184
6.10;4.9 Heat Pump Working on Reverse Brayton Cycle;187
6.10.1;4.9.1 Thermal Model;189
6.10.2;4.9.2 Case Study, Objective Function Description, and Constraints;192
6.10.3;4.9.3 Results and Discussion;193
6.11;4.10 Absorption Heat Pump;195
6.11.1;4.10.1 Thermal Model;198
6.11.2;4.10.2 Case Study, Objective Function Description, and Constraints;201
6.11.3;4.10.3 Results and Discussion;202
6.12;References;204
7;5 Thermal Design and Optimization of Refrigeration Systems;212
7.1;Abstract;212
7.2;5.1 Carnot Refrigerator;213
7.2.1;5.1.1 Thermal Model;216
7.2.2;5.1.2 Case Study, Objective Function Description, and Constraints;220
7.2.3;5.1.3 Results and Discussion;221
7.3;5.2 Single-Effect Vapor Absorption Refrigerator;223
7.3.1;5.2.1 Thermal Model;226
7.3.2;5.2.2 Case Study, Objective Function Description, and Constraints;229
7.3.3;5.2.3 Results and Discussion;230
7.4;5.3 Multi-temperature Vapor Absorption Refrigerator;232
7.4.1;5.3.1 Thermal Model;235
7.4.2;5.3.2 Case Study, Objective Function Description, and Constraints;239
7.4.3;5.3.3 Results and Discussion;240
7.5;5.4 Cascade Refrigerator;242
7.5.1;5.4.1 Thermal Model;246
7.5.2;5.4.2 Case Study, Objective Function Description, and Constraints;250
7.5.3;5.4.3 Results and Discussion;252
7.6;5.5 Ejector Refrigerator;254
7.6.1;5.5.1 Thermal Model;257
7.6.2;5.5.2 Case Study, Objective Function Description, and Constraints;262
7.6.3;5.5.3 Results and Discussion;263
7.7;5.6 Thermo-Electric Refrigerator;265
7.7.1;5.6.1 Thermal Model;267
7.7.2;5.6.2 Case Study, Objective Function Description, and Constraints;270
7.7.3;5.6.3 Results and Discussion;271
7.8;5.7 Stirling Cryogenic Refrigerator;274
7.8.1;5.7.1 Thermal Model;277
7.8.2;5.7.2 Case Study, Objective Function Description, and Constraints;280
7.8.3;5.7.3 Results and Discussion;281
7.9;5.8 Ericsson Cryogenic Refrigerator;283
7.9.1;5.8.1 Thermal Model;286
7.9.2;5.8.2 Case Study, Objective Function Description, and Constraints;290
7.9.3;5.8.3 Results and Discussion;291
7.10;References;293
8;6 Thermal Design and Optimization of Power Cycles;300
8.1;Abstract;300
8.2;6.1 Rankine Power Cycle;301
8.2.1;6.1.1 Thermal Model;304
8.2.2;6.1.2 Case Study, Objective Function Description, and Constraints;307
8.2.3;6.1.3 Results and Discussion;309
8.3;6.2 Brayton Power Cycle;312
8.3.1;6.2.1 Thermal Model;314
8.3.2;6.2.2 Case Study, Objective Function Description, and Constraints;318
8.3.3;6.2.3 Results and Discussion;319
8.4;6.3 Braysson Power Cycle;321
8.4.1;6.3.1 Thermal Model;323
8.4.2;6.3.2 Case Study, Objective Function Description, and Constraints;326
8.4.3;6.3.3 Results and Discussion;327
8.5;6.4 Kalina Power Cycle;329
8.5.1;6.4.1 Thermal Model;332
8.5.2;6.4.2 Case Study, Objective Function Description, and Constraints;335
8.5.3;6.4.3 Results and Discussion;336
8.6;6.5 Combined Brayton and Inverse Brayton Power Cycle;338
8.6.1;6.5.1 Thermal Model;340
8.6.2;6.5.2 Case Study, Objective Function Description, and Constraints;342
8.6.3;6.5.3 Results and Discussion;343
8.7;6.6 Atkinson Power Cycle Optimization;346
8.7.1;6.6.1 Thermal Model;348
8.7.2;6.6.2 Case Study, Objective Function Description, and Constraints;350
8.7.3;6.6.3 Results and Discussion;351
8.8;References;353
9;7 Thermal Design and Optimization of Few Miscellaneous Systems;358
9.1;Abstract;358
9.2;7.1 Cooling Tower;358
9.2.1;7.1.1 Thermal Model;361
9.2.2;7.1.2 Case Study, Objective Function Description, and Constraints;367
9.2.3;7.1.3 Results and Discussion;368
9.3;7.2 Heat Pipe;370
9.3.1;7.2.1 Thermal Model;373
9.3.2;7.2.2 Case Study, Objective Function Description, and Constraints;377
9.3.3;7.2.3 Results and Discussion;378
9.4;7.3 Micro-channel Heat Sink;381
9.4.1;7.3.1 Thermal Model;383
9.4.2;7.3.2 Case Study, Objective Function Description, and Constraints;387
9.4.3;7.3.3 Results and Discussion;388
9.5;7.4 Solar Air Heater;391
9.5.1;7.4.1 Thermal Model;393
9.5.2;7.4.2 Case Study, Objective Function Description, and Constraints;395
9.5.3;7.4.3 Results and Discussion;396
9.6;7.5 Solar Water Heater;398
9.6.1;7.5.1 Thermal Model;400
9.6.2;7.5.2 Case Study, Objective Function Description, and Constraints;403
9.6.3;7.5.3 Results and Discussion;404
9.7;7.6 Solar Chimney Power Plant;407
9.7.1;7.6.1 Thermal Model;409
9.7.2;7.6.2 Case Study, Objective Function Description, and Constraints;411
9.7.3;7.6.3 Results and Discussion;411
9.8;7.7 Turbojet Engine;413
9.8.1;7.7.1 Thermal Model;415
9.8.2;7.7.2 Case Study, Objective Function Description, and Constraints;416
9.8.3;7.7.3 Results and Discussion;417
9.9;References;420
10;MATLAB Code of Optimization Algorithms;427
11;Index;482