本文選題：典型氣象年 + 權(quán)重因子　； 參考：《土木建筑與環(huán)境工程》2015年01期

【摘要】：在建筑能耗模擬用典型年的生成中,傳統(tǒng)的Finkelstein-Schafer統(tǒng)計(jì)方法對(duì)氣象參數(shù)賦予了固定的權(quán)重因子,但有關(guān)研究表明,由于地域間氣象資源不同,氣象參數(shù)權(quán)重因子的固化有待商榷。針對(duì)挑選典型年時(shí)氣象參數(shù)權(quán)重因子統(tǒng)一與否對(duì)典型年挑選結(jié)果和建筑能耗模擬準(zhǔn)確性的影響問題,選同一建筑熱工分區(qū)中寒冷地區(qū)的代表城市北京和拉薩,分別使用FS方法和主成分法進(jìn)行了典型年的挑選,并對(duì)典型公共建筑建模進(jìn)行了能耗模擬分析。結(jié)果表明:FS統(tǒng)計(jì)方法適于表征單獨(dú)氣象參數(shù)的長(zhǎng)期相似性,但存在對(duì)太陽輻射參數(shù)權(quán)重賦予過大的問題,適用于太陽能豐富地區(qū);而主成分法適合尋求當(dāng)?shù)貧庀筚Y源的本質(zhì)特征,使用主成分法時(shí)對(duì)氣象參數(shù)的選擇尤為重要。
[Abstract]:The traditional Finkelstein-Schafer statistical method has given a fixed weight factor to meteorological parameters in the generation of typical years for building energy consumption simulation. However, the relevant studies show that the solidification of meteorological parameters weight factors remains to be discussed due to the difference of meteorological resources between regions. Aiming at the influence of the unity of meteorological parameter weight factor on the result of typical year selection and the accuracy of building energy consumption simulation, the representative cities of Beijing and Lhasa in the cold area of the same building thermal zone are selected. FS method and principal component method are used to select typical years, and the energy consumption simulation analysis of typical public buildings is carried out. The results show that the ratio FS statistical method is suitable to characterize the long-term similarity of individual meteorological parameters, but there is a problem that the weight of solar radiation parameters is too large, which is suitable for solar energy rich areas. The principal component method is suitable for seeking the essential characteristics of the local meteorological resources, and the selection of meteorological parameters is particularly important when using the principal component method.
【作者單位】： 西安建筑科技大學(xué)信息與控制工程學(xué)院;西安建筑科技大學(xué)建筑學(xué)院;
【基金】：陜西省重點(diǎn)科技創(chuàng)新團(tuán)隊(duì)項(xiàng)目(2012KCT-11) 國家自然科學(xué)基金(51108366)~~
【分類號(hào)】：TU111.195

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本文編號(hào)：2027363