Journal of Korean Society of Environmental Engineers (대한환경공학회지)

Korean Society of Environmental Engineers (대한환경공학회)
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Estimation of Greenhouse Gas Emissions (GHG) Inventory and Reduction Plans for Low Carbon Green Campus in Daegu University

저탄소 그린캠퍼스 조성을 위한 온실가스 인벤토리 구축 및 감축잠재량 분석 - 대구대학교를 중심으로

  • Jeong, YeongJin (Department of Environmental Engineering, Daegu University) ;
  • Li, KaiChao (Department of Environmental Engineering, Daegu University) ;
  • Kim, TaeOh (Department of Environmental Engineering, Kumoh National Institute of Technology) ;
  • Hwang, InJo (Department of Environmental Engineering, Daegu University)
  • 정영진 (대구대학교 환경공학과) ;
  • 이개초 (대구대학교 환경공학과) ;
  • 김태오 (금오공과대학교 환경공학과) ;
  • 황인조 (대구대학교 환경공학과)
  • Received : 2014.04.08
  • Accepted : 2014.07.31
  • Published : 2014.07.31
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Abstract

The objective of this study is to establish the greenhouse gases (GHG) inventories and estimate the GHG reduction plans for Daegu University from 2009 to 2011. The annual average of GHG emissions in Daegu University was estimated to be 19,413 ton $CO_2$ eq during the study period. Emissions of electricity usage in Scope 2 most contributed about 55.4% of the total GHG emissions. Also, GHG emissions of Scope 2, Scope 1, and Scope 3 contributed 60.4%, 22.6%, and 17.0%, respectively. In order to estimate reduction potential of GHG, the Long-range Energy Alternatives Planning (LEAP) model was calculated using three scenarios such as sensor installation, LED replacement, and solar facility. The GHG will be reduced by 1,656 ton $CO_2$ eq for LED scenario, by 1,041 ton $CO_2$ eq for sensor scenario, and by 737 ton $CO_2$ eq for solar scenario compared to 2020 business as usual (BAU). Therefore, the total GHG emissions in 2020 apply three scenarios can be reduced by 15% compared with 2020 BAU.

본 연구는 대구대학교를 대상으로 온실가스 인벤토리를 구축하고, 감축잠재량을 분석할 것이다. 대구대학교의 온실가스 배출량은 연평균 19,413 ton $CO_2$ eq로 조사되었다. Scope 2의 구입전력부문이 온실가스 총 배출량의 55.4%를 차지하여 가장 많이 기여하는 것으로 계산되었다. 연구기간동안의 온실가스 총배출량에서 Scope 2가 60.4%, Scope 1이 22.6%, Scope 3이 17.0%를 기여하는 것으로 나타났다. 대구대학교의 온실가스 감축잠재량을 파악하기 위하여 재실센서, LED 조명, 태양열 시설 등과 같은 시나리오를 작성하고 LEAP 모델을 이용하였다. LED 조명 교체 시 2020년에 BAU 대비 1,656 ton $CO_2$ eq가 감축되는 것으로 나타났고, 재실센서 설치, 태양열 시설 도입은 각각 1,041 ton $CO_2$ eq, 737 ton $CO_2$ eq가 감축되는 것으로 조사되었다. 감축시나리오를 모두 적용한 결과 2020년 BAU 대비 온실가스 배출량을 약 15% 감축할 수 있을 것으로 계산되었다.

Keywords

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