Journal of Environmental Science International (한국환경과학회지)

The Korean Environmental Sciences Society (한국환경과학회)
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Suitability Analysis of Onshore Wind Farm using GIS Program and Digital maps

GIS 및 수치지도를 활용한 육상풍력발전단지 적지분석

  • Park, Jae-Hyeong (Division of Earth Environmental System, Pusan National University) ;
  • Lee, Hwa-Woon (Division of Earth Environmental System, Pusan National University) ;
  • Kim, Dong-Hyuk (Institute of Environment Studies, Pusan National University) ;
  • Kim, Hyun-Goo (Korea Institute of Energy Research) ;
  • Kim, Tae-Wook (Korea Hydro & Nuclear Power Central Research Institute)
  • 박재형 (부산대학교 지구환경시스템학부) ;
  • 이화운 (부산대학교 지구환경시스템학부) ;
  • 김동혁 (부산대학교 환경연구원) ;
  • 김현구 (한국에너지기술연구원) ;
  • 김태욱 (한국수력원자력 중앙연구원)
  • Received : 2014.10.02
  • Accepted : 2014.11.11
  • Published : 2014.11.28
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Abstract

In order to decide the location of appropriate onshore wind farm with higher potential wind energy, several decision processes using Geographic Information System (GIS) including Digital Elevation Map (DEM) were proposed and we also estimated the wind resources through the proposed decision process. Decision process consists with three steps. First step is excluding inappropriate location geographically using DEM data including SRTM (Shuttle Radar Topography Mission) terrain data, landslide, land-use, roadway, and forest road data. And the second step of decision process is consideration of the difficulty caused by the natural environmental problem. This step is carried out using ECVAM (Environmental Conservation Value Assessment Map) data. And final step is determination of the most suitable location through the Moving Suitability Identification Method (MSIM) based on the moving potentially estimated wind resources area. Proposed decision process was applied over the Korean Peninsula. Wind resource potential estimated by the first and the second step is cases shows 35.09 GW and 7.17 GW, respectively, and the total evaluated energy from the all proposed step were 0.43 GW and 1.87 GW for the 3 km and 1.5 km geographical grid size, respectively.

Keywords

Acknowledgement

Supported by : 부산대학교

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