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.

This study proposes a building energy element technology system that addresses cooling loads, in response to rising average temperatures due to global warming caused by climate change. The study analyzes performance variations and energy-saving potential based on design parameters of individual element technologies, utilizing both simulation and field demonstration to derive an integrated Cooling Load Package System (CPS). The methodology comprises three key steps: (1) identifying and selecting element technologies suitable for optimal building design under subtropical climate conditions, (2) employing the building energy simulation software EnergyPlus v9.6.0 to evaluate the energy performance of each technology and establish prioritization based on energy-saving potential, and (3) conducting local climate validation through the construction of an outdoor demonstration site in northern Vietnam to assess the real-world energy-saving effectiveness of the proposed CPS.

The effects of color coating and insulation on the power generation performance of buildingintegrated photovoltaic (BIPV) systems were experimentally analyzed. A mock-up test bed was constructed, and the irradiance and power generation were measured for one year using south-facing modules. The analysis included colorless (reference), red (Color A), and dark blue (Color B) modules under both insulation (I) and noninsulation (NI) conditions. The output of the Color B module was higher than that of Color A owing to the higher light absorption efficiency of the shorter blue wavelengths. Under insulation conditions, the performance ratio (PR) of Color A was lower by-12% to-24% and that of Color B was lower by-2% to-10% than that of the reference, mainly owing to heat accumulation from suppressed rear heat dissipation. The power generated by BIPV modules is strongly influenced by building envelope factors, such as the coating color and insulation structure.