The Construction of a Mock-Up Test Building and a Statistical Analysis of the Data Acquired to Evaluate the Power Generation Performance of Photovoltaic Modules

Seung-Joon Lee, Kyu-Jin Kim, Da-Sol Kim, Eui-Hwan Ryu and Jae Lee
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Seung-Joon Lee: Energy Division, Korea Conformity Laboratories, Ducksan-myon, Jinchon-gun, Choongchongbuk-do 365-841, Korea
Kyu-Jin Kim: Energy Division, Korea Conformity Laboratories, Ducksan-myon, Jinchon-gun, Choongchongbuk-do 365-841, Korea
Da-Sol Kim: Energy Division, Korea Conformity Laboratories, Ducksan-myon, Jinchon-gun, Choongchongbuk-do 365-841, Korea
Eui-Hwan Ryu: Energy Division, Korea Conformity Laboratories, Ducksan-myon, Jinchon-gun, Choongchongbuk-do 365-841, Korea
Jae Lee: Department of Systems Engineering, Ajou University, Suwon 16499, Korea

Energies, 2020, vol. 13, issue 7, 1-21

Abstract: Traditionally, studies on the power generation performance analysis of the photovoltaic (PV) modules used in building-integrated PV (BIPV) systems have been based on computer simulations and actual experiments with constraints, resulting in the results being inaccurate and limited. This paper proposes a two-step analysis method that results in a more versatile and reliable means of analysis. The steps are: (1) construction of a mock-up test building in the form of BIPV systems and the collection of a massive amount of operational data for one year; and (2) a statistical analysis of the acquired data using Minitab software (Version: 17, Manufacturer: Minitab Inc., State College, PA, USA) to examine the power generation performance. The constructed BIPV mock-up applies design elements such as material types (c-Si and a-Si) and various directions and angles for different module installations. Prior to the analysis, the reliability of the large database (DB) constructed from the acquired data is statistically validated. Then, from the statistical correlation analysis of the DB, several plots that visualize the performance characteristics governed by design elements, including contour plots that show the region of higher performance, are generated. Further, a regression model equation for power generation performance is derived and verified. The results of this study will be useful in determining whether a BIPV system should be adopted in a building’s architectural design and, subsequently, selecting design element values for an actual BIPV system.

Keywords: building-integrated photovoltaic (BIPV) system; solar photovoltaic modules; mock-up test building; solar insolation; power generation performance; statistical correlation analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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