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.

Highlights

  • Renewable energy is the world’s fastest-growing source of energy, with an average increase of2.6% per year [1]

  • In this paper, we propose a means of designing and constructing a mock-up test building to simulate an actual building-integrated photovoltaic (BIPV) site where the power generation performance is affected by a set of design elements such as material type, installation direction, and angle

  • For a reasonable judgment to be made at the BIPV design and decision stage, the power generation performance needs to be analyzed for each design element

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Summary

Introduction

Renewable energy is the world’s fastest-growing source of energy, with an average increase of. Even when such a decision is made, the selection of installation types and economic evaluations have to be carried out at the design stage To rectify this problem, in this paper, we propose a means of designing and constructing a mock-up test building to simulate an actual BIPV site where the power generation performance is affected by a set of design elements such as material type, installation direction, and angle. In this paper, we propose a means of designing and constructing a mock-up test building to simulate an actual BIPV site where the power generation performance is affected by a set of design elements such as material type, installation direction, and angle These design elements significantly affect the photovoltaic power generation performance of BIPV systems.

Related Work
Problem Definition
The Preliminary of PV
Section 10.2 of IEC
Design and and Construction
Measurement
Statistical Analysis of the Operational Data Acquired from the BIPV Mock-Up
Validation of Acquired Data Via Statistical Methods
Normality
Design Elements
Findings
Conclusions

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