기상데이터 종류별 건물 에너지 성능 분석 결과에 미치는 영향에 관한 연구

초록

The aim of this research is to carry out the influences of weather data which are U.S. Department of Energy(DOE), Korea Solar Energy Society (KSES), Green Building Studio Virtual Weather Station(GBS VWS) and Meteonorm weather data in 4 major cities which are Incheon, Gangnung, Gwangju, and Ulsan on building simulation. For this research Autodesk Ecotect and Graphisoft Ecodesigner are used as building simulation program. The simulation is performed on heating and cooling load, CO2 emission, energy consumption, and natural and reusable energy which are solar and Heat pump. The experiment building is 6 stories and 585.7m2 small office building. The result is that the differences rate of total annual heating and cooling loads are 8.44 ~ 20.47% in Incheon, –8.02 ~ 11.46% in Gangnung, 2.04 ~ 10.26% in Gwangju, 3.88 ~ 10.94% in Ulsan. However if hearing and cooling load are compared separately, heating loads are not much different than total rate but cooling loads are dramatically different as 9.59 ~ 50.53% in Incheon, 16.56 ~ 65.24% in Gangnung, 4.70 ~ 49.61% in Gwangju, 0.63 ~ 44.22% in Ulsan.

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