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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

1
Energy Division, Korea Conformity Laboratories, Ducksan-myon, Jinchon-gun, Choongchongbuk-do 365-841, Korea
2
Department of Systems Engineering, Ajou University, Suwon 16499, Korea
*
Author to whom correspondence should be addressed.
The present work is an extension of the paper “Analysis of Relation Between Power Generation Performance for Design Elements of BIPV System Through Mock-Up Demonstration” presented at the 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC), Waikoloa Village, HI, USA, 10–15 June 2018, and published by IEEE.
Energies 2020, 13(7), 1546; https://doi.org/10.3390/en13071546
Received: 26 February 2020 / Revised: 23 March 2020 / Accepted: 25 March 2020 / Published: 26 March 2020
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. View Full-Text
Keywords: building-integrated photovoltaic (BIPV) system; solar photovoltaic modules; mock-up test building; solar insolation; power generation performance; statistical correlation analysis building-integrated photovoltaic (BIPV) system; solar photovoltaic modules; mock-up test building; solar insolation; power generation performance; statistical correlation analysis
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Lee, S.-J.; Kim, K.-J.; Kim, D.-S.; Ryu, E.-H.; Lee, J. 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. Energies 2020, 13, 1546.

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