Volume 8, Issue 2, June 2019, Page: 77-86
Analyzing the Efficiency of Horizontal Photovoltaic Cells in Various Climate Regions
Parker Alan Hines, Department of Systems Engineering & Management, Air Force Institute of Technology, Wright-Patterson Air Force Base, United States of America
Torrey John Wagner, Department of Systems Engineering & Management, Air Force Institute of Technology, Wright-Patterson Air Force Base, United States of America
Clay Michael Koschnick, Department of Systems Engineering & Management, Air Force Institute of Technology, Wright-Patterson Air Force Base, United States of America
Steven James Schuldt, Department of Systems Engineering & Management, Air Force Institute of Technology, Wright-Patterson Air Force Base, United States of America
Received: Apr. 15, 2019;       Accepted: May 23, 2019;       Published: Jun. 10, 2019
DOI: 10.11648/j.jenr.20190802.15      View  12      Downloads  4
This research presents the development of linear regression models to predict horizontal photovoltaic power output. We collected a dataset from 14 global Department of Defense (DoD) installations over a timeframe of one year using an experimental apparatus, resulting in 24,179 usable data points. We developed a linear model to predict power output, which incorporated site-specific weather and geographical characteristics, along with Köppen-Geiger climate classifications in order to determine the effect of adding climate to the model. After performing a Wald test between the full model and a reduced model without Köppen-Geiger climate variables, it was determined that including Köppen-Geiger climate variables improved the model’s ability to account for horizontal photovoltaic power variation by 3%. Although adding Köppen-Geiger variables provided added value when modeling the training dataset, these variables were less effective in predicting the validation dataset. From the analysis, the ideal Köppen-Geiger region was determined to be a warm temperate main classification, a fully humid precipitation classification and a warm summer temperature classification. This region possessed a 30% greater average power production than the mean value of the base climate classification. We found that the cost-effectiveness of a photovoltaic array depends on Köppen-Geiger climate regions, in addition to weather characteristics and the orientation of the array.
Köppen-Geiger, Photovoltaic Cells, Linear Regression, Renewable Energy, Energy Resilience
To cite this article
Parker Alan Hines, Torrey John Wagner, Clay Michael Koschnick, Steven James Schuldt, Analyzing the Efficiency of Horizontal Photovoltaic Cells in Various Climate Regions, Journal of Energy and Natural Resources. Vol. 8, No. 2, 2019, pp. 77-86. doi: 10.11648/j.jenr.20190802.15
Copyright © 2019 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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