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2024 Vol.44, Issue 6 Preview Page

Research Article

Development of a Surface Temperature Prediction Model for STPV through Mock-Up Data Learning

Mock-Up 데이터 학습을 통한 반투광형 태양광(STPV) 모듈의 표면 온도 예측 모델 개발

Naekyung Kim1
,
Jiwon Kim2
,
Suhyun Cho3
,
Younghoon Kwak4
,
Sunhye Mun5*
김 내경1
,
김 지원2
,
조 수현3
,
곽 영훈4
,
문 선혜5*
1Undergraduate Student, School of Architecture and Architectural Engineering, University of Seoul
2Researcher, Institute of Urban Science, University of Seoul
3Ph.D. Candidate, Department of Architectural Engineering, University of Seoul
4Research Professor, Department of Architecture, University of Seoul
5Professor, Department of Architecture, University of Seoul
1서울시립대학교 건축학부 건축공학전공, 학사과정
2서울시립대학교 도시과학연구원, 연구원
3서울시립대학교 건축공학과, 박사과정
4서울시립대학교 건축학부, 연구교수
5서울시립대학교 건축학부, 교수
*Corresponding Author
30 December 2024. pp. 79-92
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Abstract

Semi-Transparent Photovoltaics (STPV) panels are integrated into building windows to allow natural light transmission while generating electricity. However, conventional energy simulation tools often underestimate the indoor heat transfer, as they fail to accurately account for the thermal effects of STPV power generation. This study develops an indoor surface temperature prediction model for STPV modules to simulate the thermal behavior during power generation and enhance the reliability of energy performance assessments. Using measured mock-up data, Pearson correlation and multiple regression analyses were conducted, and power production per unit area (PPA), outdoor temperature (OT), and relative humidity (RH) were identified as the primary factors influencing the surface temperature of the STPV module. The heat transfer calculation involves comparing the surface temperature of the STPV module with the indoor temperature, and the model is applied only when the power production per unit area exceeds 2.32 Wh/m2 for crystalline silicon modules and 4.13 Wh/m2 for amorphous silicon modules. Overall, this approach provides a refined assessment of the indoor thermal performance of STPV systems, ultimately improving the reliability of energy performance evaluations.

Keywords
Semi-Transparent Photovoltaics, STPV
Surface Temperature Prediction
Heat Transfer Analysis
Energy Performance Evaluation
키워드
반투광형 태양광
표면 온도 예측
열전달 분석
에너지 성능 평가
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Information
  • Publisher :Korean Solar Energy Society
  • Publisher(Ko) :한국태양에너지학회
  • Journal Title :Journal of the Korean Solar Energy Society
  • Journal Title(Ko) :한국태양에너지학회 논문집
  • Volume : 44
  • No :6
  • Pages :79-92
  • Received Date : 2024-10-14
  • Revised Date : 2024-11-22
  • Accepted Date : 2024-11-22
  • DOI :https://doi.org/10.7836/kses.2024.44.6.079
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