| 書目名稱 | Evolutionary Methods Based Modeling and Analysis of Solar Thermal Systems |
| 副標(biāo)題 | A Case Studies Appro |
| 編輯 | Biplab Das,Jagadish |
| 視頻video | http://file.papertrans.cn/318/317973/317973.mp4 |
| 概述 | Covers improvement of solar thermal systems and advances in solar air collector systems, modeling, and optimization.Includes modeling and parametric optimization issues for the practitioners of solar |
| 叢書名稱 | Mechanical Engineering Series |
| 圖書封面 |  |
| 描述 | .This book presents insights into the thermal performance of solar thermal collectors using both computational and experimental modeling. It consists of various computational and experimental case studies conducted by the authors on the solar thermal collector system. The authors begin by developing thermal modeling using a case study that shows the effect of different governing parameters. A few more experimental cases studies follow that highlight the energy, exergy, and environmental performance of the solar thermal collector system and to examine the performance of a modified solar collector system, illustrating performance improvement techniques..Finally, application of different evolutionary optimization techniques such as soft computing and evolutionary methods, like fuzzy techniques, MCDM methods like fuzzy logic based expert system (FLDS), Artificial Neural Network (ANN), Grey relational analysis (GRA), Entropy-Jaya algorithm, Entropy-VIKOR etc. are employed.. |
| 出版日期 | Book 2023 |
| 關(guān)鍵詞 | Solar Thermal System; Solar air collector; Energy harvesting; Energy forecasting; Optimization Technique |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-27635-4 |
| isbn_softcover | 978-3-031-27637-8 |
| isbn_ebook | 978-3-031-27635-4Series ISSN 0941-5122 Series E-ISSN 2192-063X |
| issn_series | 0941-5122 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機(jī)版|小黑屋|
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