In this paper, two multiple linear regression models for the determination of photovoltaic (PV) cell temperature and for selection of appropriate thermal loss factor values in PVSyst is presented. One of the linear models can determine the cell temperature with solar irradiation and ambient temperature alone while the second model requires the solar irradiation, ambient temperature and wind speed in order to determine cell temperature. The cell temperature determined from any of the two models can then be used to select the appropriate thermal loss factor for PVSysts simulation. Sample meteorological data extracted from PVSyst software meteo-file for Dakar, the capital of Senegal, in West Africa is used for the study. In agreement, the two models gave the same thermal loss factor U=30.255. Essential, the approach presented in this paper can be used to effectively determine cell temperature, with and without wind speed.
| Published in | International Journal of Theoretical and Applied Mathematics (Volume 2, Issue 2) |
| DOI | 10.11648/j.ijtam.20160202.27 |
| Page(s) | 140-143 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2017. Published by Science Publishing Group |
Thermal Loss, Cell Temperature, PVSyst, Photovoltaic Effect, Cell Temperature Model, Multiple Linear Regression
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APA Style
Victor Etop Sunday, Ozuomba Simeon, Umoren Mfonobong Anthony. (2017). Multiple Linear Regression Photovoltaic Cell Temperature Model for PVSyst Simulation Software. International Journal of Theoretical and Applied Mathematics, 2(2), 140-143. https://doi.org/10.11648/j.ijtam.20160202.27
ACS Style
Victor Etop Sunday; Ozuomba Simeon; Umoren Mfonobong Anthony. Multiple Linear Regression Photovoltaic Cell Temperature Model for PVSyst Simulation Software. Int. J. Theor. Appl. Math. 2017, 2(2), 140-143. doi: 10.11648/j.ijtam.20160202.27
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Download@article{10.11648/j.ijtam.20160202.27,
author = {Victor Etop Sunday and Ozuomba Simeon and Umoren Mfonobong Anthony},
title = {Multiple Linear Regression Photovoltaic Cell Temperature Model for PVSyst Simulation Software},
journal = {International Journal of Theoretical and Applied Mathematics},
volume = {2},
number = {2},
pages = {140-143},
doi = {10.11648/j.ijtam.20160202.27},
url = {https://doi.org/10.11648/j.ijtam.20160202.27},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijtam.20160202.27},
abstract = {In this paper, two multiple linear regression models for the determination of photovoltaic (PV) cell temperature and for selection of appropriate thermal loss factor values in PVSyst is presented. One of the linear models can determine the cell temperature with solar irradiation and ambient temperature alone while the second model requires the solar irradiation, ambient temperature and wind speed in order to determine cell temperature. The cell temperature determined from any of the two models can then be used to select the appropriate thermal loss factor for PVSysts simulation. Sample meteorological data extracted from PVSyst software meteo-file for Dakar, the capital of Senegal, in West Africa is used for the study. In agreement, the two models gave the same thermal loss factor U=30.255. Essential, the approach presented in this paper can be used to effectively determine cell temperature, with and without wind speed.},
year = {2017}
}
TY - JOUR T1 - Multiple Linear Regression Photovoltaic Cell Temperature Model for PVSyst Simulation Software AU - Victor Etop Sunday AU - Ozuomba Simeon AU - Umoren Mfonobong Anthony Y1 - 2017/01/09 PY - 2017 N1 - https://doi.org/10.11648/j.ijtam.20160202.27 DO - 10.11648/j.ijtam.20160202.27 T2 - International Journal of Theoretical and Applied Mathematics JF - International Journal of Theoretical and Applied Mathematics JO - International Journal of Theoretical and Applied Mathematics SP - 140 EP - 143 PB - Science Publishing Group SN - 2575-5080 UR - https://doi.org/10.11648/j.ijtam.20160202.27 AB - In this paper, two multiple linear regression models for the determination of photovoltaic (PV) cell temperature and for selection of appropriate thermal loss factor values in PVSyst is presented. One of the linear models can determine the cell temperature with solar irradiation and ambient temperature alone while the second model requires the solar irradiation, ambient temperature and wind speed in order to determine cell temperature. The cell temperature determined from any of the two models can then be used to select the appropriate thermal loss factor for PVSysts simulation. Sample meteorological data extracted from PVSyst software meteo-file for Dakar, the capital of Senegal, in West Africa is used for the study. In agreement, the two models gave the same thermal loss factor U=30.255. Essential, the approach presented in this paper can be used to effectively determine cell temperature, with and without wind speed. VL - 2 IS - 2 ER -