Transient thermal prediction methodology for parabolic trough solar collector tube using artificial neural network
The solar radiation fluctuation occurs at practically anywhere on the earth. When a solar thermal power generation system is designed for the areas with considerable solar radiation fluctuation, the collector tube exit temperature becomes more difficult to predict and requires significant calculatio...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Published: |
Elsevier Ltd.
2019
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/88978/ http://dx.doi.org/10.1016/j.renene.2018.07.037 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!