Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography (한국측량학회지)

Korean Society of Surveying, Geodesy, Photogrammetry and Cartography (한국측량학회)
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Estimation of Solar Radiation Potential in the Urban Buildings Using CIE Sky Model and Ray-tracing

  • Received : 2020.03.27
  • Accepted : 2020.04.27
  • Published : 2020.04.30
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Abstract

Since it was first studied in 1980, solar energy analysis model for geographic information systems has been used to determine the approximate spatial distribution of terrain. However, the spatial pattern was not able to be grasped in 3D (three-dimensional) space with low accuracy due to the limitation of input data. Because of computational efficiency, using a constant value for the brightness of the sky caused the simulation results to be less reliable especially when the slope is high or buildings are crowded around. For the above reasons, this study proposed a model that predicts solar energy of vertical surfaces of buildings with four stages below. Firstly, CIE (Commission Internationale de l'Eclairage) luminance distribution model was used to calculate the brightness distribution of the sky using NREL (National Renewable Energy Laboratory) solar tracking algorithm. Secondly, we suggested a method of calculating the shadow effect using ray tracing. Thirdly, LOD (Level of Detail) 3 of 3D spatial data was used as input data for analysis. Lastly, the accuracy was evaluated based on the atmospheric radiation data collected through the ground observation equipment in Daejeon, South Korea. As a result of evaluating the accuracy, NMBE was 5.14%, RMSE 11.12, and CVRMSE 7.09%.

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References

  1. Choi, W.S., Song, A.R., and Kim, Y. (2015), Solar irradiance estimation in Korea by using modified heliosat-II method and COMS-MI imagery, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 33, No. 5, pp. 463-472. (in Korean with English abstract) https://doi.org/10.7848/ksgpc.2015.33.5.463
  2. Erdelyi, R., Wang, Y., Guo, W., Hanna, E., and Colantuono, G. (2014), Three-dimensional SOlar RAdiation Model (SORAM) and its application to 3-D urban planning, Solar Energy, Vol. 101, pp. 63-73. https://doi.org/10.1016/j.solener.2013.12.023
  3. ESRI. (2019), An overview of the Solar Radiation toolset, ESRI web site, https://desktop.arcgis.com/en/arcmap/10.3/tools/spatial-analyst-toolbox/an-overview-of-the-solarradiation-tools.htm (last date accessed: 27 March 2020).
  4. Helios Environmental Modeling Institute. (2000), The Solar Analyst 1.0 User Manual Draft, HEMI LLC., Kansas, United State.
  5. Hofierka, J. and Zlocha, M. (2012), A new 3-D solar radiation model for 3-D city models, Transactions in GIS, Vol. 16, No. 5, pp. 681-690. https://doi.org/10.1111/j.1467-9671.2012.01337.x
  6. Hofierka, J. and Kanuk, J. (2009), Assessment of photovoltaic potential in urban areas using open-source solar radiation tools, Renewable Energy, Vol. 34, No. 10, pp. 2206-2214. https://doi.org/10.1016/j.renene.2009.02.021
  7. Kim, E.J. (2014), Development of a solar Insolation calculation module in urban context using the sunlit fraction and sky-view factor, Journal of the Architectural Institute of Korea Planning & Design, Vol. 30, No. 7, pp. 229-236. (in Korean with English abstract) https://doi.org/10.5659/JAIK_PD.2014.30.7.229
  8. Kittler, R. (2006), Comment 1 on 'Average daylight factor for the 15 CIE standard skies' by DWH Li and GHW Cheung, Lighting Research & Technology, Vol. 38, No. 2, pp. 149-150. https://doi.org/10.1177/136578280603800212
  9. Kittler, R. (1967), Standardisation of the Outdoor Conditions for the Calculation of the Daylight Factor with Clear Skies, Sunlight in Buildings, Bouwcentrum, Rotterdam, Nederlands.
  10. Korea Energy Economics Institute. (2018), 2017 Yearbook of Regional Energy Statistics, KEEI web site, http://www.keei.re.kr/keei/download/RES2017.pdf (last date accessed: 27 March 2020). (in Korean)
  11. Ministry of Trade, Industry and Energy. (2017), Renewable Energy 3020 Plan, MOTIE web site, http://www.motie.go.kr/common/download.do?fid=bbs&bbs_cd_n=81&bbs_seq_n=159996&file_seq_n=1 (last date accessed: 27 March 2020). (in Korean)
  12. Moller, T. and Trumbore, B. (1997), Fast, minimum storage ray-triangle intersection, Journal of Graphics Tools, Vol. 2, No. 1, pp. 21-28. https://doi.org/10.1080/10867651.1997.10487468
  13. Moon, P. and Spencer, D. (1942), Illumination from a nonuniform sky, Illumination Engineering, Vol. 37, No. 10, pp. 707-726.
  14. Muneer, T., Gueymard, C., and Kambezidis, H. (2004), Solar Radiation And Daylight Data. In Solar Radiation And Daylight Models, Butterworth-Heinemann, Oxford, United Kingdom.
  15. Narvarte, L. and Lorenzo, E. (2008), Tracking and ground cover ratio, Progress in Photovoltaics, Vol. 16, No. 8, pp. 704-714.
  16. National Renewable Energy Laboratory. (2017), Solar Position Algorithm SPA, NREL web site, https://midcdmz.nrel.gov/spa/ (last date accessed: 27 March 2020).
  17. Perez, R., Seals, R., and Michalsky, J. (1993), All-weather model for sky luminance distribution-Preliminary configuration and validation, Solar Energy, Vol. 50, No. 3, pp. 235-245. https://doi.org/10.1016/0038-092X(93)90017-I
  18. Perpinan, O. (2012), solaR : Solar Radiation and Photovoltaic Systems with R, Journal of Statistical Software, Vol. 50, No. 9, pp. 1-32. https://doi.org/10.18637/jss.v050.i09
  19. Robinson, D., and Stone, A. (2005), A simplified radiosity algorithm for general urban radiation exchange, Building Services Engineering Research and Technology, Vol. 26, No. 4, pp. 271-284. https://doi.org/10.1191/0143624405bt133oa
  20. Ruther, R., Knob, P. J., da Silva Jardim, C., and Rebechi, S. H. (2008), Potential of building integrated photovoltaic solar energy generators in assisting daytime peaking feeders in urban areas in Brazil, Energy Conversion and Management, Vol. 49, No. 5, pp. 1074-1079. https://doi.org/10.1016/j.enconman.2007.09.020
  21. Song, A.R., Choi, S.W., Yun, C.Y., and Kim, Y. (2015), Evaluation of Clear Sky Models to Estimate Solars Radiation over the Korean Peninsula, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 33, No. 5, pp. 415-426. (in Korean with English abstract) https://doi.org/10.7848/ksgpc.2015.33.5.415
  22. Suri, M. and Hofierka, J. (2004), A new GIS-based solar radiation model and its application to photovoltaic assessments, Transactions in GIS, Vol. 8, No. 2, pp. 175-190. https://doi.org/10.1111/j.1467-9671.2004.00174.x
  23. Webster, L. and Bradford, J. (2008), M&V Guidelines: Measurement and Verification for Federal Energy Projects; Version 3.0, Technical Report, U.S. Department of Energy, Washington DC, United State.
  24. Yoon, D.H. (2020), Development of simulation model for estimation solar energy on vertical surfaces of buildings by using 3D spatial information, Ph.D. dissertation, University of Seoul, Seoul, South Korea, 168p. (in Korean with English abstract)