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.
General
Imprint: |
Springer International Publishing AG
|
Country of origin: |
Switzerland |
Series: |
Mechanical Engineering Series |
Release date: |
May 2023 |
Editors: |
Biplab Das
• Jagadish
|
Dimensions: |
235 x 155mm (L x W) |
Pages: |
126 |
Edition: |
1st ed. 2023 |
ISBN-13: |
978-3-03-127634-7 |
Categories: |
Books
|
LSN: |
3-03-127634-5 |
Barcode: |
9783031276347 |
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!