Browse > Article
http://dx.doi.org/10.7836/kses.2018.38.2.045

Analysis of Shadows Effect in Seoul Area for the Estimation of Roof-type PV Power Calculation  

Yun, ChangYeol (New and Renewable Energy Resource & Policy Center, Korea Institute of Energy Research)
Jung, BoRin (GIS United)
Kim, ShinYoung (New and Renewable Energy Resource & Policy Center, Korea Institute of Energy Research)
Kim, ChangKi (New and Renewable Energy Resource & Policy Center, Korea Institute of Energy Research)
Kim, JinYoung (New and Renewable Energy Resource & Policy Center, Korea Institute of Energy Research)
Kim, HyunGoo (New and Renewable Energy Resource & Policy Center, Korea Institute of Energy Research)
Kang, YongHeack (New and Renewable Energy Resource & Policy Center, Korea Institute of Energy Research)
Kim, YongIl (Department of Civil & Environmental Engineering, Seoul National University)
Publication Information
Journal of the Korean Solar Energy Society / v.38, no.2, 2018 , pp. 45-53 More about this Journal
Abstract
For the preliminary step for estimating the performance of roof-type photovoltaic system in urban areas, we analyzed the solar radiation reduction ratio by shadow effect by buildings using DSM (Digital Surface Model) and GIS (Geographical Information System) tools. An average loss by the shadow is about 19% in Seoul. The result was related to the building density and distribution. Monthly results show that the winter season (December and January) was more affected by the shading than during the summer season (June and July). It is expected that useful empirical formulas can be made if more detailed correlation studies are performed.
Keywords
shadow; shadow effect; solar radiation; roof type; Photovoltaic; potential;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Darren Robinson and Andrew Stone, Irradiation Modelling Made Simple: the Cumulative Sky Approach and Its Applications, Plea2004 - The 21st Conference on Passive and Low Energy Architecture, 2004.
2 G. Agugiaro, F. Nex, F. Remondino, R. De Filippi, S. Droghetti and C. Furlanello, Solar Radiation Estimation on Building Roofs, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 1, No. 2, pp. 177-282, 2012.
3 Annie Chow, Alan S. Fung and Songnian Li, GIS Modeling of Solar Neighborhood Potential at a Fine Spatiotemporal Resolution, Buildings, Vol. 4, No. 2, pp. 195-206, 2014.   DOI
4 Kim, E. J., 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, Vol. 30, No 7, pp. 229-236, 2014.
5 An Overview of the Solar Radiation Toolset (http://desktop.arcgis.com/en/arcmap/latest/tools/spatial-analyst-toolbox/an-overview-of-the-solar-radiation-tools.htm)
6 Rich, P. M., Dubayah, R., Hetrick, W. A., and Saving, S. C., Using Viewshed Models to Calculate Intercepted Solar Radiation: Applications in Ecology, American Society for Photogrammetry and Remote Sensing Technical Papers, pp. 524-529, 1994.
7 Fu, P., A Geometric Solar Radiation Model with Applications in Landscape Ecology. Ph.D. Thesis, Department of Geography, University of Kansas, 2000.
8 Fu, P. and Rich, P. M., The Solar Analyst 1.0 Manual, Helios Environmental Modeling Institute (HEMI), 2000.
9 Fu, P. and P. M. Rich., A Geometric Solar Radiation Model with Applications in Agriculture and Forestry, Computers and Electronics in Agriculture, Vol. 37, No. 1, pp. 25-35, 2002.   DOI
10 National Spatial Data Infrastructure Portal (http://www.nsdi.go.kr)