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Predicting solar photovoltaic electrical output under variable environmental conditions: Modified semi-empirical correlations for dust
The current study investigated the simultaneous impacts of dust as well as other environmental parameters on cell temperature and the electrical outputs of photovoltaic systems. Based on the experimental and analytical analysis, several linear and polynomial semi-empirical correlation forms were pro...
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Published in: | Energy for sustainable development 2022-12, Vol.71, p.389-405 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The current study investigated the simultaneous impacts of dust as well as other environmental parameters on cell temperature and the electrical outputs of photovoltaic systems. Based on the experimental and analytical analysis, several linear and polynomial semi-empirical correlation forms were proposed. It was shown that cell temperature depends directly on irradiation and ambient temperature, as well as inversely on humidity, wind speed, and the amount of accumulated dust on the surface. During the four-year outdoor experiments and further indoor measurements, the surface dust density varied from 0 to 10.1174 g.m−2, which resulted in up to a 28 % current loss. Although, it was shown that dust affects the output voltage less, and the most recorded variation was |
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ISSN: | 0973-0826 |
DOI: | 10.1016/j.esd.2022.10.012 |