Dirt Loss Estimator for Photovoltaic Modules Using Model Predictive Control
The central problem tackled in this article is the susceptibility of the solar modules to dirt that culminates in losses in energy generation or even physical damage. In this context, a solution is presented to enable the estimates of dirt losses in photovoltaic generation units. The proposed soluti...
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| Veröffentlicht in: | Electronics (Basel) 2021-07, Vol.10 (14), p.1738, Article 1738 |
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| creator | Santos, Ricardo R. Batista, Edson A. de Brito, Moacyr A. G. Quinelato, David D. D. |
| description | The central problem tackled in this article is the susceptibility of the solar modules to dirt that culminates in losses in energy generation or even physical damage. In this context, a solution is presented to enable the estimates of dirt losses in photovoltaic generation units. The proposed solution is based on the mathematical modeling of the solar cells and predictive modeling concepts. A device was designed and developed to acquire data from the photovoltaic unit; process them based on a predictive model, and send loss estimates in the generation unit to a web server to help in decision-making support. The results demonstrated the real applicability of the system to estimate losses due to dirt or electrical mismatches in photovoltaic plants. |
| doi_str_mv | 10.3390/electronics10141738 |
| format | Article |
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| subjects | Cadmium telluride Computer Science Computer Science, Information Systems Decision making Dirt Efficiency Engineering Engineering, Electrical & Electronic Estimates Modules Photovoltaic cells Physical Sciences Physics Physics, Applied Prediction models Predictive control Radiation Science & Technology Solar cells Solar energy Technology |
| title | Dirt Loss Estimator for Photovoltaic Modules Using Model Predictive Control |
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