Overview
- Provides a book-length examination of combustion optimization based on computational intelligence
- Presents advances made in the past ten years, ranging from fundamentals to applications
- Includes contributions by the world’s leading researchers in the field
Part of the book series: Advanced Topics in Science and Technology in China (ATSTC)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book presents the latest findings on the subject of combustion optimization based on computational intelligence. It covers a broad range of topics, including the modeling of coal combustion characteristics based on artificial neural networks and support vector machines. It also describes the optimization of combustion parameters using genetic algorithms or ant colony algorithms, an online coal optimization system, etc. Accordingly, the book offers a unique guide for researchers in the areas of combustion optimization, NOx emission control, energy and power engineering, and chemical engineering.
Authors and Affiliations
About the authors
Professor Hao Zhou received his Ph.D. degree from Zhejiang University in 2004. He is currently Deputy Director of  State Key Laboratory of Clean Energy Utilization at Zhejiang University and Director of the Zhejiang University - University of Leeds joint research center for sustainable energy. His research interests include combustion optimization, low pollutant combustion technology for utility boilers, and neural network and support vector machine modeling methods. He has published over 20 academic papers and filed 7 patents in the areas of combustion pollutants control and combustion optimization since 2000.
Professor Kefa Cen is a member of the Chinese Academy of Engineering. He received his Ph.D. degree from Moscow Industrial Technology University and has expertise in clean coal combustion and gasification, poly-generation and comprehensive utilization of energy resources, as well as biomass gasification and bio-oil. He is currently Director of the Institute for Thermal Power Engineering at Zhejiang University and Chairman of the Chinese Society of Power Engineering’s International Cooperation & Exchange Committee. He is also Editor-in-Chief of the Journal of Zhejiang University (Engineering Science) and the Journal of Renewable Energy. He has published over 800 academic papers and 15 books.
Bibliographic Information
Book Title: Combustion Optimization Based on Computational Intelligence
Authors: Hao Zhou, Kefa Cen
Series Title: Advanced Topics in Science and Technology in China
DOI: https://doi.org/10.1007/978-981-10-7875-0
Publisher: Springer Singapore
eBook Packages: Energy, Energy (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. and Zhejiang University Press, Hangzhou 2018
Hardcover ISBN: 978-981-10-7873-6Published: 26 February 2018
Softcover ISBN: 978-981-13-5678-0Published: 23 December 2018
eBook ISBN: 978-981-10-7875-0Published: 02 February 2018
Series ISSN: 1995-6819
Series E-ISSN: 1995-6827
Edition Number: 1
Number of Pages: XXVI, 270
Number of Illustrations: 100 b/w illustrations, 129 illustrations in colour
Additional Information: Jointly published with Zhejiang University Press, Hangzhou, China
Topics: Energy Efficiency, Engineering Thermodynamics, Heat and Mass Transfer, Energy Systems, Industrial Chemistry/Chemical Engineering, Computational Intelligence