Correlation Analysis Study between BIPV Energy Generation of Zero Energy Building and Weather Data

This study investigated whether building integrated photo voltaic (BIPV) can achieve energy independence in zero-energy buildings.We analyzed BIPV energy generation data from a certified zero-energy building to verify this.The first method involved analyzing the correlation between the energy generation data and BIPV installation factors.The energy generation by BIPV based on installation factors, such as location and direction, were analyzed at minute intervals for one year.Additionally, the energy generation performance was compared using the Capacity Utility Factor, which is a measure of the power generation facility utilization rate.The second method was a correlation analysis between the energy generation data and environmental factors.The environmental factors included time and 21 types of numerical meteorological data.Among these factors, solar radiation had the strongest correlation with energy generation.Bases on this finding, verification was performed by comparing solar radiation data with energy generation data.This verification confirmed the presence of a transmission error in the BIPV inverter data.

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Publication Details

Journal
Journal of the Korean Solar Energy Society
Published
2024-08-30
DOI
https://doi.org/10.7836/kses.2024.44.4.097
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
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article

Correlation Analysis Study between BIPV Energy Generation of Zero Energy Building and Weather Data

Soon-Myung Lee, Hyo-Moon Cho
Journal of the Korean Solar Energy Society
Photovoltaic System Optimization Techniques
article

Correlation Analysis Study between BIPV Energy Generation of Zero Energy Building and Weather Data

Soon-Myung Lee, Hyo-Moon Cho
article en

Abstract

This study investigated whether building integrated photo voltaic (BIPV) can achieve energy independence in zero-energy buildings.We analyzed BIPV energy generation data from a certified zero-energy building to verify this.The first method involved analyzing the correlation between the energy generation data and BIPV installation factors.The energy generation by BIPV based on installation factors, such as location and direction, were analyzed at minute intervals for one year.Additionally, the energy generation performance was compared using the Capacity Utility Factor, which is a measure of the power generation facility utilization rate.The second method was a correlation analysis between the energy generation data and environmental factors.The environmental factors included time and 21 types of numerical meteorological data.Among these factors, solar radiation had the strongest correlation with energy generation.Bases on this finding, verification was performed by comparing solar radiation data with energy generation data.This verification confirmed the presence of a transmission error in the BIPV inverter data.

Journal of the Korean Solar Energy SocietyVol. 44(4)
Sangmyung University (KR)
Affordable and clean energy
Openalex Percentile: Top 91%
Photovoltaic System Optimization Techniques
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