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Thermal system optimization = a popu...

Savsani, Vimal J.

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Thermal system optimization = a population-based metaheuristic approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Thermal system optimization/ by Vivek K. Patel, Vimal J. Savsani, Mohamed A. Tawhid.
Reminder of title:	a population-based metaheuristic approach /
Author:	Patel, Vivek K.
other author:	Savsani, Vimal J.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xvi, 477 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Meta-Heuristics Methods -- Thermal Design and Optimization of Heat Exchangers -- Thermal Design and Optimization of Heat Engines/Heat Pump -- Thermal Design and Optimization of Refrigerating System -- Thermal Design and Optimization of Power Generating Cycles -- Miscellaneous Systems.
Contained By:	Springer eBooks
Subject:	Thermodynamics - Mathematical models. -
Online resource:	https://doi.org/10.1007/978-3-030-10477-1
ISBN:	9783030104771

Thermal system optimization = a population-based metaheuristic approach /
Patel, Vivek K.

Thermal system optimizationa population-based metaheuristic approach /[electronic resource] :by Vivek K. Patel, Vimal J. Savsani, Mohamed A. Tawhid. - Cham :Springer International Publishing :2019. - xvi, 477 p. :ill., digital ;24 cm.

Introduction -- Meta-Heuristics Methods -- Thermal Design and Optimization of Heat Exchangers -- Thermal Design and Optimization of Heat Engines/Heat Pump -- Thermal Design and Optimization of Refrigerating System -- Thermal Design and Optimization of Power Generating Cycles -- Miscellaneous Systems.

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.

ISBN: 9783030104771

Standard No.: 10.1007/978-3-030-10477-1doiSubjects--Topical Terms:

653842
Thermodynamics
--Mathematical models.

LC Class. No.: TJ265 / .P384 2019

Dewey Class. No.: 621.4021

Thermal system optimization = a population-based metaheuristic approach /
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100 1 $a Patel, Vivek K. $3 3385439
245 1 0 $a Thermal system optimization $h [electronic resource] : $b a population-based metaheuristic approach / $c by Vivek K. Patel, Vimal J. Savsani, Mohamed A. Tawhid.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xvi, 477 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- Meta-Heuristics Methods -- Thermal Design and Optimization of Heat Exchangers -- Thermal Design and Optimization of Heat Engines/Heat Pump -- Thermal Design and Optimization of Refrigerating System -- Thermal Design and Optimization of Power Generating Cycles -- Miscellaneous Systems.
520 $a 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.
650 0 $a Thermodynamics $x Mathematical models. $3 653842
650 0 $a Heat $x Transmission $x Mathematical models. $3 686895
650 0 $a Mathematical optimization. $3 517763
650 0 $a Metaheuristics. $3 2206834
650 1 4 $a Engineering Thermodynamics, Heat and Mass Transfer. $3 1002079
650 2 4 $a Energy Systems. $3 1530445
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Mechanical Engineering. $3 891038
650 2 4 $a Industrial Chemistry/Chemical Engineering. $3 890826
700 1 $a Savsani, Vimal J. $3 1567756
700 1 $a Tawhid, Mohamed A. $3 3385440
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856 4 0 $u https://doi.org/10.1007/978-3-030-10477-1
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