Overview
- Outlines each of the varied meta-heuristic approaches to solve thermal system optimization problems
- Provides MATLAB codes for all of the meta-heuristic and thermal systems used in the text
- Presents a comparative analysis for all thermal systems, to identify the best performing approach
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (7 chapters)
-
Front Matter
-
Back Matter
Keywords
About this book
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.
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.
Authors and Affiliations
About the authors
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 hasalso 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.
Bibliographic Information
Book Title: Thermal System Optimization
Book Subtitle: A Population-Based Metaheuristic Approach
Authors: Vivek K. Patel, Vimal J. Savsani, Mohamed A. Tawhid
DOI: https://doi.org/10.1007/978-3-030-10477-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-10476-4Published: 27 February 2019
eBook ISBN: 978-3-030-10477-1Published: 14 February 2019
Edition Number: 1
Number of Pages: XVI, 477
Number of Illustrations: 174 b/w illustrations
Topics: Engineering Thermodynamics, Heat and Mass Transfer, Energy Systems, Computational Intelligence, Mechanical Engineering, Industrial Chemistry/Chemical Engineering