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Prediction of Heating and Cooling Energy Consumption in Residential Sector Considering Climate Change and Socio-Economic

기후변화와 사회·경제적 요소를 고려한 가정 부문 냉난방 에너지 사용량 변화 예측

  • Lee, Mi-Jin (Graduate School, Seoul National University) ;
  • Lee, Dong-Kun (Department of Landscape Architecture and Rural System Engineering, Seoul National University) ;
  • Park, Chan (Land Management and Urban Research Division, Korea Research Institute for Human Settlements) ;
  • Park, Jin-Han (Interdisciplinary Program in Landscape Architecture, Seoul National University) ;
  • Jung, Tae-Yong (Graduate School of International Studies, Yonsei University) ;
  • Kim, Sang-Kyun (Global Environment Research Division, National Institute of Environmental Research) ;
  • Hong, Sung-Chul (Global Environment Research Division, National Institute of Environmental Research)
  • 이미진 (서울대학교 대학원) ;
  • 이동근 (서울대학교 조경.지역시스템 공학부) ;
  • 박찬 (국토연구원 국토관리도시연구본부) ;
  • 박진한 (서울대학교 협동과정 조경학) ;
  • 정태용 (연세대학교 국제학대학원) ;
  • 김상균 (국립환경과학원 지구환경연구과) ;
  • 홍성철 (국립환경과학원 지구환경연구과)
  • Received : 2015.07.06
  • Accepted : 2015.10.02
  • Published : 2015.10.31

Abstract

The energy problem has occurred because of the effects of rising temperature and growing population and GDP. Prediction for the energy demand is required to respond these problems. Therefore, this study will predict heating and cooling energy consumption in residential sector to be helpful in energy demand management, particularly heating and cooling energy demand management. The AIM/end-use model was used to estimate energy consumption, and service demand was needed in the AIM/end-use model. Service demand was estimated on the basis of formula, and energy consumption was estimated using the AIM/end-use model. As a result, heating and cooling service demand tended to increase in 2050. But in energy consumption, heating decreased and cooling increased.

Acknowledgement

Grant : 건물에서의 효율적 냉난방을 위한 온도 성층화 및 에너지 이용량 측정

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