Prediction and evaluation of photovoltaic-thermal energy systems production using artificial neural network and experimental dataset
Photovoltaic/thermal (PV/T) systems combine two collectors, which increase efficiency, reduce cost and space, and produce electricity and heat, simultaneously. Many factors affect PV/T current, voltage, power, efficiency, and heat energy production. For example, the location of the PV system, ambien...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-10-01
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| Series: | Case Studies in Thermal Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X21004603 |