한국건설관리학회논문집 (Korean Journal of Construction Engineering and Management)

  • 제17권5호
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  • Pages.71-77
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  • 2016
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  • 2005-6095(pISSN)
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  • 2465-9703(eISSN)
한국건설관리학회 (Korea Institute of Construction Engineering and Management)
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수치지도를 이용한 고속국도 주변 태양광 패널 설치 대상지 선정

Using Numerical Maps to Select Solar Panel Installation Sites no Expressway Slopes

  • Jung, Jaehoon (Department of Photogrammetry, University of Bonn) ;
  • Kim, Byungil (Department of Civil Engineering, Andong National University)
  • 투고 : 2016.07.13
  • 심사 : 2016.07.28
  • 발행 : 2016.09.30
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초록

기존 화석연료를 대체하기 위한 방법으로 태양광은 가장 주목 받는 신재생에너지원 중의 하나이다. 하지만 태양광 패널을 설치하기 위한 부지 확보 문제는 태양광의 활용을 높이기 위해 극복해야 할 문제점 중의 하나이다. 이에 본 연구는 고속국도 비탈면에 태양광 패널을 설치할 것을 제안한다. 고속국도에 인접한 모든 비탈면은 유휴 공공부지이며, 고속국도 총 연장이 4,193km에 달한다는 점, 선형구조로 패널 설치 시 규모의 경제 실현이 가능하다는 점, 주변 지물로 인해 음영 발생 소지가 적다는 점, 그리고 대부분의 구간이 거주지와 멀어 민원 발생 소지가 적다는 점 등 높은 잠재력을 가지고 있다. 하지만 현장조사에 의한 방법의 경우 4,000km가 넘는 고속국도 주변을 조사하기에는 많은 시간 및 비용의 소모와 더불어 안정상의 문제가 발생할 수 있다. 이러한 문제를 극복하고 효율적인 태양광 패널 설치 대상지 선별을 위해 본 연구는 수치지도 기반의 지형 분석 방법을 제시하고자 한다. 먼저 수치지도로부터 등고선 및 고속국도 폴리라인을 추출한다. 추출한 등고선을 수치지형모형으로 변환하고, 지형의 방위각과 경사각을 계산한다. 고속국도는 이진영상으로 변환한 뒤 정제 과정을 거쳐 단절된 부분을 복원하고, 경계로부터 일정 범위 내의 지역을 버퍼지역으로 추출한다. 앞선 자료들을 중첩해 버퍼지역 내 특정 방위각과 경사각을 만족하는 지역을 대상지로 선정하고, 최종적으로 항공사진을 이용한 정성적 평가를 수행한다.

Solar energy is a viable source to replace fossil fuels. However, challenges associated with site selection for solar panel installation inhibit the uptake of solar energy systems. Expressway slopes offer a potentially attractive alternative for solar panel installation for the following reasons: expressway slopes are vacant public sites, they are abundant (about 4,193km in South Korea), and they are linear in nature. Traditoinally when selecting sites for solar systems conventional surveying methods are employed. Unfortunately, these methods can be dangerous, time consuming, and labor intensive. To overcome these limitations of conventional site selection methodologies, we propose an automated approach using numerical maps. First, contour and expressway polylines are extracted separately from numeric maps. The extracted contour lines are then converted into a digital terrain model; this is used to calculate aspect and slope information. Next, the extracted expressway lines are projected onto a binary image and refined to recover the disconnections, and then applied to create a buffer zone to narrow the search space. Finally, all data sets are overlaid to identify candidate sites for solar panel systems and are visually verified through comparisons with aerial photos.

키워드

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