대한건축학회논문집:구조계 (Journal of the Architectural Institute of Korea Structure & Construction)

  • 제35권8호
  • /
  • Pages.177-184
  • /
  • 2019
  • /
  • 1226-9107(pISSN)
  • /
  • 2384-1788(eISSN)
대한건축학회 (Architectural Institute of Korea)
권호 표지
DOI QR코드

DOI QR Code

다결정 실리콘 PV모듈의 하절기 표면온도 예측을 위한 알고리즘 검토 및 외부인자별 영향 평가

Evaluation on Calculation Algorithms for Polycrystalline Silicon PV Module Surface Temperatures by Varying External Factors during the Summer Period

  • 정동은 (한밭대학교 건축설비공학과) ;
  • 염규환 (한밭대학교 건축설비공학과) ;
  • 이찬욱 (한밭대학교 건축설비공학과) ;
  • 도성록 (한밭대학교 설비공학과)
  • 투고 : 2019.04.29
  • 심사 : 2019.08.13
  • 발행 : 2019.08.30
⟨ 이전 논문 다음 논문 ⟩

초록

Recently, electric power usages and peak loads from buildings are increasing due to higher outdoor air temperatures and/or abnormal climate during the summer period. As one of the eco-friendly measures, a renewable energy system has been received much attention. Particularly, interest on a photovoltaic (PV) system using solar energy has been rapidly increasing in a building sector due to its broad applicability. In using the PV system, one of important factors is the PV efficiency. The normal PV efficiency is determined based on the STC(Standard Test Condition) and the NOCT(Nominal Operating Cell Temperature) performance test. However, the actual PV efficiency is affected by the temperature change at the module surface. Especially, higher module temperatures generally reduce the PV efficiency, and it leads to less power generation from the PV system. Therefore, the analysis of the relation between the module temperature and PV efficiency is required to evaluate the PV performance during the summer period. This study investigates existing algorithms for calculating module surface temperatures and analyzes resultant errors with the algorithms by comparing the measured module temperatures.

키워드

과제정보

연구 과제 주관 기관 : 한국연구재단

참고문헌

  1. BNEF (2017). Global Trends in Renewable Energy Investment 2017, Frankfurt: Bloomberg New Energy Finance (BNEF).
  2. Cha, W.C., Park, J.H., Cho, U.R., & Kim, J.C. (2015). A Study on Solar Power Generation Efficiency Empirical Analysis according to Temperature and Wind speed, The Korean Institute of Electrical Engineers P, 64(1), 1-6.
  3. Duffie, J.A., & Beckman, W.A. (2013). Solar Engineering of Thermal Processes, 4th ed, Canada, Wiley, 757-759.
  4. Hassan, Q., Jaszczur, M., Przenzak, E., & Abdulateef, J. (2016). The PV cell temperature effect on the energy production and module efficiency. Contemporary Problems of Power Engineering and Environmental Protection, 33.
  5. Kamuyu, W.C.L., Kim, J.R., Won, C.S., & Ahn, H.K. (2018). Prediction Model of Photovoltaic Module Temperature for Power Performance of Floating PVs, .Energies, 11(2), 447. https://doi.org/10.3390/en11020447
  6. Kim, S.G. (2012). A Study on Influence to Electrical Characteristics According to Module Temperature and Irradiation of Photovoltaic System. (Ph.d.), Dongshin University, Korea.
  7. King, D.L., Kratochvil, J.A., Boyson, W.E., & Bower, W.I. (1998). Field Experience with A New Performance Characterization Procedure for Photovoltaic Arrays, Presented at the 2nd World Conference and Exhibition on Photovoltaic Solar Energy Conversion, (7).
  8. Kirtz, S., Whitfield, K., & Miller, D. (2009). Evaluation of High-Temperature Exposure of Rack-Mounted Photovoltaic Modules. Paper presented at the Photovoltaic Specialists Conference (PVSC), 2009 34th IEEE.
  9. Korea Eximbank (2016). Current Status and Outlook of the World's Photovoltaic Power Generation Market, Korea: Korea Eximbank.
  10. Lee, C.K. (2015). Results of the 21st Paris Climate Change Conference, Korea: Korea Research Institute on Climate Change.
  11. Lee, K.H. (2018). 'Hongcheon', the Highest Temperature in Korea. Korea Meteorological Administration. from http://www.kma.go.kr/notify/press/kma_list.jsp?bid=press&mode=view&num=1193576
  12. MOTIE (2017). Renewable Energy 3020 Implementation Plan, Korea: Ministry of Trade Industry and Energy (MOTIE).
  13. Oh, M.S., Kim, J.Y., & Hong, W.H. (2008). A Study on Performance Evaluation and Improvement Plan of Photovoltaic System Applied to Apartment Housing, Architectural Institute of Korea Planning & Design, 24(10): 243-250.
  14. S-Energy (2018). SN72 Cell 1,000V Polycrystalline PV Module Catalogue, Korea: S-Energy.
  15. Schwingshackl, C., Petitta, M., Wagner, J.E., & Belluardo, G. (2013). Wind Effect on PV Module Temperature: Analysis of Different Techniques for an Accurate Estimation. Energy Procedia, 40, 77-86. https://doi.org/10.1016/j.egypro.2013.08.010
  16. Shin, H.Y., Choi, H.K., Kim, Y.K., An, Y.K., Choi, J.Y., Yoon, C.G., Lim, M.H., Kim, J.S., & Seo, B.G. (2009). The Efficiency of Solarcell Related to Temperature. The Korean Institute of Illuminating and electrical Installation Engineers, 5, 356-359.
  17. Skoplaki, E. (2008). A Simple Correlation for the Operating Temperature of Photovoltaic Modules of Arbitrary Mounting. Solar Energy Materials and Solar Cells, 92(11), 1393-1402. https://doi.org/10.1016/j.solmat.2008.05.016
  18. Tamizhmani, G., Ji, L., Tang, Y., & Petacci, L. (2003). Photovoltaic Module Thermal/wind Performance: Long-term Monitoring and Model Development for Energy Rating. National Renewable Energy Laboratory, CD-520(33586), 936-939.