Soft computing in green and renewable energy systems
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Soft computing in green and renewable energy systems

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Published by Springer-Verlag in Berlin .
Written in English

Subjects:

  • Soft computing,
  • Data processing,
  • Renewable energy sources

Book details:

Edition Notes

Includes bibliographical references and author index.

StatementKasthurirangan Gopalakrishnan, Shiddhartha Kumar Khaitan, and Soteris Kalogirou, (Eds.).
Classifications
LC ClassificationsQA76.9.S63 S6324 2011
The Physical Object
Paginationxiv, 304 p. :
Number of Pages304
ID Numbers
Open LibraryOL25404124M
ISBN 103642221750
ISBN 109783642221750
LC Control Number2011932574

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ISBN: OCLC Number: Description: 1 Online-Ressource: Contents: From the content: Soft Computing Applications in Thermal Energy Systems --Use of Soft Computing Techniques in Renewable Energy Hydrogen Hybrid Systems --Soft Computing in Absorption Cooling Systems --A Comprehensive Overview of Short Term Wind Forecasting Models based on . This textbook starts with a review of the principles of operation, modeling and control of common solar energy and wind-power generation systems before moving on to discuss grid compatibility, power quality issues and hybrid models of Solar PV and Wind Energy Conversion Systems (WECS). Abstract. Soft computing techniques are important tools that significantly improve the performance of energy systems. This chapter reviews their many contributions to renewable energy hydrogen hybrid systems, namely those systems that consist of different technologies (photovoltaic and wind, electrolyzers, fuel cells, hydrogen storage, piping, thermal and electrical/electronic control systems Cited by: 1. This book offers an interesting and broad catalogue of the use of state-of-the-art Soft Computing techniques in many important fields related to Renewable Energies and Energy Efficiency. Academicians and practitioners in these areas will find a complete guide about the current and future trends on the application of fuzzy sets, metaheuristics.

SAN DIEGO, Calif. – The data center industry has emerged as a leading player in the market for renewable energy, as cloud computing platforms shift to solar and wind to power their , data center providers signed contracts for more than gigawatts of renewable power, marking a dramatic turnaround from earlier headlines critiquing the industry’s dependence upon “dirty. He is the editor of the book Artificial Intelligence in Energy and Renewable Energy Systems, published by Nova Science Inc., co-editor of the book Soft Computing in Green and Renewable Energy Systems, published by Springer and author of the book Solar Energy Engineering: Processes and Systems, published by Academic Press of Elsevier. Soft Computing in Green and Renewable Energy Systems (Studies in Fuzziness and Soft Computing) by Kasthurirangan Gopalakrishnan, Siddhartha Kumar Khaitan, Soteris Kalogirou. Definition. More specifically, soft energy technologies have five defining characteristics. They rely on renewable energy resources, are diverse and designed for maximum effectiveness in particular circumstances, are flexible and relatively simple to understand, are matched to end-use needs in terms of scale, and are matched to end-use needs in terms of quality.

Energy Aware Computing: Powerful Approaches for Green System Design Paperback out of 5 stars 2 ratings See all 3 formats and editions Hide other formats and editions/5(2). In book: Soft Computing Applications for Renewable Energy and Energy Efficiency, Chapter: Evaluation of Renewable Energy Alternatives using Hesitant Fuzzy TOPSIS and Interval Type-2 Fuzzy AHP. @book{gopalakrishnansoft, title = {Soft Computing in Green and Renewable Energy Systems}, author = {Gopalakrishnan, Kasthurirangan and Khaitan, Siddhartha Kumar and Kalogirou, Soteris}, volume = {}, year = {}, series = {Studies in Fuzziness and Soft Computing Series}, publisher = {Springer-Verlag New York Inc} }. Green computing, green ICT as per International Federation of Global & Green ICT "IFGICT", green IT, or ICT sustainability, is the study and practice of environmentally sustainable computing or IT.. The goals of green computing are similar to green chemistry: reduce the use of hazardous materials, maximize energy efficiency during the product's lifetime, the recyclability or biodegradability.