Journal of the Korean Solar Energy Society (한국태양에너지학회 논문집)

The Korean Solar Energy Society (한국태양에너지학회)
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Comparison Analysis of Estimation Models of Hourly Horizontal Global Solar Radiation for Busan, Korea

부산지역에 적합한 시간당 수평면 전일사량 산출모델의 비교분석

  • Kim, Kee Han (Department of Architecture, Graduate School, Texas A&M University) ;
  • Oh, Kie-Whan (Department of Architectural Design, Dongseo University)
  • 김기한 (미국 텍사스 A&M 대학교 대학원 건축학과) ;
  • 오기환 (동서대학교 건축설계학과)
  • Received : 2013.06.13
  • Accepted : 2013.09.23
  • Published : 2013.10.30
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Abstract

Hourly horizontal global solar radiation has been used as one of significant parameters in a weather file for building energy simulations, which determines the quality of building thermal performance. However, as about twenty two weather stations in Korea have actually measured the horizontal global sola radiation, the weather files collected in other stations requires solar data simulation from the other meteorological parameters. Thus, finding the reliable complicated method that can be used in various weather conditions in Korea is critically important. In this paper, three solar simulation models were selected and evaluated through the reliability test with the simulated hourly horizontal global solar radiation against the actually measured solar data to find the most suitable model for the south east area of Korea. Three selected simulation models were CRM, ZHM, and MRM. The first two models are regression type models using site-fitted coefficients which are derived from the correlation between measured solar data and local meteorological parameters from the previous years, and the last model is a mechanistic type model using the meteorological data to calculate conditions of atmospheric constituents that cause absorption and scattering of the extraterrestrial radiation on the way to the surface on the Earth. The evaluation results show that ZHM is the most reliable model in this area, yet a complicated hybrid simulation methods applying the advantages of each simulation method with the monthly-based weather data is needed.

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References

  1. Lee, K. H., Sim, K. Y., Analysis and calculation of global hourly solar irradiation based on sunshine duration for major cities in Korea, Journal of the Korean Solar Energy Society, Vol. 30, pp. 16-21, 2010.
  2. Kasten F., Czeplak G., Solar and terrestrial radiation dependent on the amount and type of cloud, Solar Energy, Vol. 24, pp. 177-189, 1980. https://doi.org/10.1016/0038-092X(80)90391-6
  3. Zhang, Q. Y., Huang Y. J., Development of typical year weather files for Chinese locations, Vol. 108, No. 2, pp. 1063-1075, 2002.
  4. Akram A., Zuhairy, Sayigh, A., Simulation and modeling of solar radiation in Saudi Arabia, Renewable Energy, Vol. 6, No. 2, pp. 107 -118, 1995. https://doi.org/10.1016/0960-1481(94)00056-C
  5. Badescu, V., Modeling Solar Radiation at the Earth's Surface, Chapter14, The Meteorological Radiation Model(MRM): Advancements and Applications. Kambezidis, H., Psiloglou, B., Springer Berlin Heidelberg, 2008.
  6. Yang K., KoikeT., Estimating surface solar radiation from upper-air humidity, Solar Energy, Vol. 77, No. 2, pp. 177-186, 2002.
  7. Perez R., Ineichen P., MooreK., KmiecikM., Chain C., George R., Vignola F., A new operational model for satellite-derived irradiances: description and validation, Solar Energy, Vol. 73, No. 5, pp. 307-317, 2002. https://doi.org/10.1016/S0038-092X(02)00122-6
  8. Perez R., Moore K., Wilcox S., Renne D., ZelenkaK., Forecasting solarr adiation: preliminary evaluation of an approach based upon the National Forecast Database, Solar Energy, Vol. 81, No. 6, pp. 809-812, 2007. https://doi.org/10.1016/j.solener.2006.09.009
  9. Krarti M., Huang J., Seo, D., Dark J., Development of Solar Radiation Models for Tropical Locations, ASHRAE Project RP-1309, American Society of Heating, Refrigerating and Air-Conditioning Engineers, Atlanta, 2006.
  10. Gul M., Muneer T., Kambezidis H., Models for obtaining solar radiation from other meteorological data, Solar Energy, Vol. 64, pp. 99-108, 1998. https://doi.org/10.1016/S0038-092X(98)00048-6
  11. Munner T, Gul M., Evaluation of sunshine and cloud cover based models for generating solar radiation data, Energy Conversion and Management, Vol. 41, pp. 461-482, 2000. https://doi.org/10.1016/S0196-8904(99)00108-9
  12. Yoo, H. C., Lee, K. H., Park, S. H., Analysis of data and calculation of global solar radiation based on cloud data for major cities in Korea, Journal of the Korean Solar Energy Society, Vol. 28, No. 4, pp. 17-24, 2008.
  13. Psiloglou, B., Kambezidis, H. Performance of the meteorological radiation mode during the solar eclipse of 29 March 2006, Atmospheric Chemistry and Physics Discussions, pp. 6047-6059, 2007.
  14. Stone, R. J. Improved statistical procedure for the evaluation of solar radiation estimation models, Solar Energy, Vol. 51, No. 4, pp. 289-291, 1993. https://doi.org/10.1016/0038-092X(93)90124-7