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...
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Main Authors: | Heng, Shye Yunn, Asako, Yutaka, Suwa, Tohru, Nagasaka, Ken |
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Format: | Article |
Published: |
Elsevier Ltd.
2019
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/88978/ http://dx.doi.org/10.1016/j.renene.2018.07.037 |
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