Comparative Analysis of Three NOCT-Based Cell Temperature Models
International Journal of Systems Science and Applied Mathematics
Volume 1, Issue 4, November 2016, Pages: 69-75
Received: Oct. 25, 2016; Accepted: Nov. 18, 2016; Published: Dec. 21, 2016
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Authors
Anyanime Tim Umoette, Department of Electrical, Electronic Engineering, Akwa Ibom State University, Mkpat Enin, Nigeria
Emmanuel A. Ubom, Department of Electrical, Electronic Engineering, Akwa Ibom State University, Mkpat Enin, Nigeria
Ibiangake Etie Akpan, Department of Electrical, Electronic Engineering, Akwa Ibom State University, Mkpat Enin, Nigeria
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Abstract
In this paper, comparative analyses of three NOCT-based cell temperature models are presented. The models are the HOMER (Hybrid Optimization of Multiple Energy Resources) software cell temperature, Ross cell temperature model and Davis and Rauschenbach cell temperature model. Noticeably, unlike PVSysts software, the three models do not include the effect of wind speed. Three models are analyzed using the meteorological data of a site in Ibeno, Akwa Ibom state, Nigeria. The results showed that among the three NOCT-based cell temperature models, the Ross model has the highest cell temperature for any given ambient temperature and solar irradiance. The HOMER Davis and Rauschenbach models have almost the same cell temperature values but in all the occasions, the HOMER model gives the lowest cell temperature among the three models. Equally, Ross model has the lowest annual energy yield and the highest thermal loss whereas the HOMER model has the highest annual energy yield and the lowest thermal loss.
Keywords
Cell Temperature, Thermal Loss, Energy Yield, Temperature Derating Factor, Photovoltaic, Solar Energy, Renewable Energy
To cite this article
Anyanime Tim Umoette, Emmanuel A. Ubom, Ibiangake Etie Akpan, Comparative Analysis of Three NOCT-Based Cell Temperature Models, International Journal of Systems Science and Applied Mathematics. Vol. 1, No. 4, 2016, pp. 69-75. doi: 10.11648/j.ijssam.20160104.16
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Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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