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Evolutionary methods based modeling and analysis of solar thermal systemsa case studies approach /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Evolutionary methods based modeling and analysis of solar thermal systemsedited by Biplab Das, Jagadish.
其他題名:	a case studies approach /
其他作者:	Das, Biplab.
出版者:	Cham :Springer International Publishing :2023.
面頁冊數:	xx, 128 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Solar collectorsMathematical models.
電子資源:	https://doi.org/10.1007/978-3-031-27635-4
ISBN:	9783031276354$q(electronic bk.)

Evolutionary methods based modeling and analysis of solar thermal systemsa case studies approach /
Evolutionary methods based modeling and analysis of solar thermal systemsa case studies approach /[electronic resource] :edited by Biplab Das, Jagadish. - Cham :Springer International Publishing :2023. - xx, 128 p. :ill., digital ;24 cm. - Mechanical engineering series,2192-063X. - Mechanical engineering series..

Introduction -- Modeling and optimization of energetic and exergetic performance of solar air collector -- Expert system based thermal performance analysis of corrugated absorber plate based solar air collector -- Investigation of thermal performance of SAC variables using fuzzy logic-based expert system -- Sustainability assessment of solar air collector using deep learning.

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. 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 thermal industries; Provides a new method for modeling and optimizing solar air collectors using actual case studies from the field.

ISBN: 9783031276354$q(electronic bk.)

Standard No.: 10.1007/978-3-031-27635-4doiSubjects--Topical Terms:

950434
Solar collectors
--Mathematical models.

LC Class. No.: TJ812 / .E96 2023

Dewey Class. No.: 621.472

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520 $a 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. 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 thermal industries; Provides a new method for modeling and optimizing solar air collectors using actual case studies from the field.
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