지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2012.7
- 수록면
- 269 - 278 (10page)
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초록· 키워드
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This study suggested improved energy consumption algorithm at the point of ①facility planning information DB, ②energy and planning statistics DB, ③accuracy of energy consumption calculation which concerns urban energy consumption. The results of this study were as follows. Urban energy consumption was estimated and managed per unit space using E-GIS DB which contains facility information per mesh. The level of urban planning energy was made varied as timely, energy load, and energy resources linking with energy simulations and world energy consumption unit. Urban energy consumption was reflected by the urban facility classified and standardized by the characteristics of energy use. Calculation accuracy of energy consumption was reached by separately suggested as summer algorithm reflecting urban heat island on summer energy use and winter algorithm reflecting heating system normally used in Korea. UCSS based "Energy Consumption Algorithm for Cooling Season" and SimHeat based "Energy Consumption Algorithm for Heating Season" were suggested for calculating energy consumption with high accuracy. Urban Energy Consumption Algorithm was systemized with "Energy Consumption Units", statistic values of urban energy consuming facility linked with planning information of E-GIS DB, which is possible to calculate 8760 hours of heat and electricity consumption per year.
목차
Abstrac
1. 서론
2. 도시계획단계의 에너지 수요예측 개요
3. E-GIS DB를 활용한 도시에너지 수요예측방안 제시
4. 광명시흥 보금자리지구를 대상으로 한 케이스스터디
5. 결론
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UCI(KEPA) : I410-ECN-0101-2013-540-003633067