建築物性能模擬(耗能解析)準確的關鍵要素之一來自輸入典型且具代表性的氣象資料,以確保模擬結果的客觀性。為了讓我國的建築物性能模擬更可靠與能被更廣泛應用,本研究使用簡化的氣象要素,以豐富的CDF累積分布圖說明,驗證改良過的Sandia Method方法其實是非常可靠,且能篩選出非常接近歷史氣象平均趨勢的典型月。本研究所製作的典型氣象年是目前既有研究中最接近各地區典型氣候特徵的氣象年資料,30處地點也是目前分布最廣泛的,不僅可提供符合現今建築物性能模擬所需的代表性長期平均氣候資料,並可結合Green BIM軟體,成為未來最有威力的綠建築設計輔助工具。
One of the key elements for building performance simulation comes from the input of typical meteorological data. In order to make building performance simulation more reliable and more widely used, this study uses simplified meteorological elements and uses rich CDFs to illustrate that modification to Sandia Method is actually very reliable and can be selected a typical month very close to the average of historical weather. The TMY produced in this study is the closest to the typical climatic characteristics of various regions in the existing studies. The 30 locations selected in this study are also the most widely distributed. This study not only provides representative long-term average climate data required for building performance simulation, but also can be combined with Green BIM to become the most powerful tool for green building design in the future.