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Comparative Assessment of Typical Year Dataset based on POA Irradiance

태양광 패널 일사량에 기반한 대표연도 데이터 비교 평가

  • Changyeol Yun (Renewable Energy Big Data Laboratory, Korea Institute of Energy Research) ;
  • Boyoung Kim (Renewable Energy Big Data Laboratory, Korea Institute of Energy Research) ;
  • Changki Kim (Renewable Energy Big Data Laboratory, Korea Institute of Energy Research) ;
  • Hyungoo Kim (Renewable Energy Institute, Korea Institute of Energy Research) ;
  • Yongheack Kang (Renewable Energy Institute, Korea Institute of Energy Research) ;
  • Yongil Kim (Department of Civil & Emvironmental Engineering, Seoul National University)
  • Received : 2024.03.08
  • Accepted : 2024.03.15
  • Published : 2024.03.25

Abstract

The Typical Meteorological Year (TMY) dataset compiles 12 months of data that best represent long-term climate patterns, focusing on global horizontal irradiance and other weather-related variables. However, the irradiance measured on the plane of the array (POA) shows certain distinct distribution characteristics compared with the irradiance in the TMY dataset, and this may introduce some biases. Our research recalculated POA irradiance using both the Isotropic and DIRINT models, generating an updated dataset that was tailored to POA characteristics. Our analysis showed a 28% change in the selection of typical meteorological months, an 8% increase in average irradiance, and a 40% reduction in the range of irradiance values, thus indicating a significant shift in irradiance distribution patterns. This research aims to inform stakeholders about accurate use of TMY datasets in potential decision-making. These findings underscore the necessity of creating a typical dataset by using the time series of POA irradiance, which represents the orientation in which PV panels will be deployed.

Keywords

Acknowledgement

본 연구는 2023년도 산업통상자원부의 재원으로 한국에너지기술평가원(KETEP)의 지원을 받아 수행한 연구과제 입니다(C4-4334).

References

  1. Wilcox, S., and Marion, W., 2008, "Users manual for TMY3 data sets", National Renewable Energy Lab. (NREL), DOI: https://doi.org/10.2172/928611.
  2. Kim, S.Y., Lee, H.J., Kim, H.G., Jang, G.S., Yun, C.Y., Kang, Y.H., Kang, C.S., and Choi, J.O., 2016, "A study on uncertainty to direct normal irradiance of typical meteorological year data", New. Renew. Energy, 12(S2), 36-43. https://doi.org/10.7849/ksnre.2016.10.12.S2.36
  3. Finkelstein, J.M., and Schafer, R.E., 1971, "Improved goodnessof-fit tests", Biometrika, 58(3), 641-645. https://doi.org/10.1093/biomet/58.3.641
  4. Habte, A., Lopez, A., Sengupta, M., and Wilcox, S., 2014, "Temporal and spatial comparison of gridded TMY, TDY, and TGY data sets", National Renewable Energy Lab. (NREL), DOI: https://doi.org/10.2172/1126297.
  5. Habte, A., Sengupta, M., Buster, G., and Xie, Y., 2023, "Development and evaluation of typical plane of array year (TPY) for solar energy systems over the Americas", IEEE 50th Photovoltaic Specialists Conference (PVSC), DOI: https://doi.org/10.1109/PVSC48320.2023.10359681.
  6. Gueymard, C.A., 2009, "Direct and indirect uncertainties in the prediction of tilted irradiance for solar engineering applications", Solar Energy, 83(3), 432-444. https://doi.org/10.1016/j.solener.2008.11.004
  7. Yang, D., Dong, Z., Nobre, A., Khoo, Y.S., Jirutitijaroen, P., and Walsh, W.M., 2013, "Evaluation of transposition and decomposition models for converting global solar irradiance from tilted surface to horizontal in tropical regions", Solar Energy, 97, 369-387. https://doi.org/10.1016/j.solener.2013.08.033
  8. Lave, M., Hayes, W., Pohl, A., and Hansen, C.W., 2015, "Evaluation of global horizontal irradiance to plane-of-array irradiance models at locations across the United States", IEEE Journal of Photovoltaics, 5(2), 597-606. https://doi.org/10.1109/JPHOTOV.2015.2392938
  9. Duffie, J.A., and Beckman, W.A., 2013, "Solar engineering of thermal processes", John Wiley & Sons, New York, 85-97.
  10. Kang, E., Kim, J., Kim, D., and Yoon, J., 2023, "Development of predicted power generation nomogram of photovoltaic system by installation conditions using typical meteorological year", Journal of the Korean Solar Energy Society, 43(4), 29-41. https://doi.org/10.7836/kses.2023.43.4.029
  11. Lee, H., Kim, S., and Yun, C., 2017, "Comparison of solar radiation models to estimate direct normal irradiance for Korea", Energies, 10(5), 594.
  12. Perez, R., Ineichen, P., Maxwell, E.L., and Seals, R.D., 1992, "Dynamic global-to-direct irradiance conversion models", ASHRAE Transactions-Research Series, 98, 354-369.
  13. Holmgren, W.F.H., Hansen, C.W., and Micofski, M.A., 2018, "Pvlib python: A python package for modeling solar energy systems", Journal of Open Source Software, 3(29), 884.
  14. National Standard Reference Data Center, "Typical meteorological year data", Accessed 28 February 2024, https://www.srd.re.kr/css/srdinfsrv/S_CSS_010100.do?menuId=M_CSS_01_01.