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신재생에너지 보급 활성화를 위한 공공데이터 활용 방안 -지열에너지 연관 데이터를 중심으로-

Utilizing public data to promote renewable energy supply -Focusing on geothermal energy related data-

  • 김유승 (대한기계설비산업연구원) ;
  • 류형규 (대한기계설비산업연구원) ;
  • 최승혁 (대한기계설비산업연구원)
  • Gim, Yu-Seung (Korea Research Institute of Mechanical Facilities Industry) ;
  • Ryu, Hyung-Kyou (Korea Research Institute of Mechanical Facilities Industry) ;
  • Choi, Seung-Hyuck (Korea Research Institute of Mechanical Facilities Industry)
  • 투고 : 2018.06.27
  • 심사 : 2018.11.20
  • 발행 : 2018.11.28

초록

최근 에너지 산업은 에너지사용량 감축을 위해 신 재생에너지 공급정책을 시행하고 있다. 본 연구는 신 재생에너지 수요 증가에 대비하기 위한 지열에너지 시스템 공급 촉진에 도움이 될 수 있는 데이터베이스를 구축하고, 데이터베이스를 활용한 지열에너지 시스템 설치 가능성 평가 방법 개발을 목표로 한다. 연구에 사용한 데이터는 국가기관에서 제공하는 공공데이터를 사용하여 데이터의 신뢰성을 확보하였다. 지열에너지 시스템 설치 가능성 평가를 위해 필요한 정보를 취득하여 전용 데이터베이스를 구성하였고, 데이터베이스의 정보를 활용하여 지열정 용량을 산정하는 방법을 연구하였다. 본 연구는 추후 지역 환경평가 기준을 정립하고, 다른 신재생에너지에 대한 정보를 추가하여 신재생에너지 보급 활성화에 기여할 수 있는 연구를 진행할 예정이다.

Recently, the energy industry is implementing renewable energy supply policy to reduce energy consumption. The purpose of this study is to build a database that can help promote the supply of geothermal energy system to prepare for the increase of renewable energy demand and to develop a method to evaluate the possibility of geothermal energy system installation by using database information. The data used in the study was reliable using open data provided by national agencies. We obtained information necessary for the possibility of geothermal energy system installation, constructed a dedicated database, and studied the method of calculating the geothermal well capacity by using the database information. In the future, this study will establish a local environmental evaluation standard and add information on other renewable energy to contribute to the activation of renewable energy supply.

키워드

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Fig. 1. Database and Application Flow

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Fig. 2. Database and Application Flow

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Fig. 3. The Capacity Design Tool for Open-loop Ground Heat Exchanger

Table 1. Main Information for Building a Database

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Table 2. Address Information

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Table 3. Case Study Results

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