| 논문명 | 건물에너지시뮬레이션을 위한 기상데이터 활용: 기상청 관측데이터와 WRF 예측 데이터 비교를 중심으로/Utilization of w eather data for building energy simulation: Comparison w ith meteorological observation data and WRF prediction data/학술섹션 1-3 : 빌딩시뮬레이션 |
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| 저자명 | 양원영(Yang, Wonyoung) ; 박상구(Park, Sang-gu) ; 문현준(Moon, Hyeun Jun) |
| 발행사 | 한국건축친환경설비학회 |
| 수록사항 | 추계학술발표대회 , 2017 |
| 페이지 | 시작페이지(98) 총페이지(2) |
| 주제분류 | 환경및설비 |
| 주제어 | 건물에너지 ; 건물에너지 시뮬레이션 ; 기상예측 ; WRF 모델 Building energy ; Building energy simulation ; weather prediction ; WRF (Weather Research and Forecasting model) |
| 요약2 | The purpose of this paper is to investigate weather data for building energy simulation in a place where no KMA (Korea Meteorological Administration) automated synoptic observing system (ASOS) exists. Yongin (37.320221, 127.125430) was selected for this case study, where a local digital weather station (DKU) was installed at Dankook University, to compare KMA observed weather data and WRF(Weather Research and Forecasting) model data. The KMA observed data for Yongin were used in two ways. One is the average value of Seoul and Suwon (KMA:Seoul+Suwon) and ther other is to use data from a geographically close source, Suwon ASOS data (KMA:Suwon). For WRF modeling (WRF), the NCEP FNL data has been used. The difference between seasonal errors was observed in both the KMA observed data and the WRF predicted data. The WRF prediction data has higher error rate thatn the KMA data. In the case of KMA data, using the average value of Seould and Suwon was more accurate than Suwon data. In the case of WRF model, the CVRMSE was less than 20% in this study. Continuous research is needed as an alternative for meteorological data in the absence of KMA observed data. |
| 소장처 | 한국건축친환경설비학회 |