Evolutionary Methods Based Modeling and Analysis of Solar Thermal Systems

A Case Studies Approach de

,

Éditeur :

Springer


Paru le : 2023-04-29

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Description

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.

Pages
128 pages
Collection
n.c
Parution
2023-04-29
Marque
Springer
EAN papier
9783031276347
EAN PDF
9783031276354

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
12
Taille du fichier
6840 Ko
Prix
158,99 €
EAN EPUB
9783031276354

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
12
Taille du fichier
14254 Ko
Prix
158,99 €

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