土木建筑与环境工程
土木建築與環境工程
토목건축여배경공정
JOURNAL OF CIVIL, ARCHITECTURAL & ENVIRONMENTAL ENGINEERING
2015年
1期
23-28,34
,共7页
李红莲%杨柳%于军琪%侯立强%许馨尹
李紅蓮%楊柳%于軍琪%侯立彊%許馨尹
리홍련%양류%우군기%후립강%허형윤
典型气象年%权重因子%寒冷地区%建筑能耗模拟
典型氣象年%權重因子%寒冷地區%建築能耗模擬
전형기상년%권중인자%한랭지구%건축능모모의
typical meteorological year%weighting factor%cold region%building energy consumption simula-tio n
在建筑能耗模拟用典型年的生成中,传统的Finkelstein‐Schafer统计方法对气象参数赋予了固定的权重因子,但有关研究表明,由于地域间气象资源不同,气象参数权重因子的固化有待商榷。针对挑选典型年时气象参数权重因子统一与否对典型年挑选结果和建筑能耗模拟准确性的影响问题,选同一建筑热工分区中寒冷地区的代表城市北京和拉萨,分别使用FS方法和主成分法进行了典型年的挑选,并对典型公共建筑建模进行了能耗模拟分析。结果表明:FS统计方法适于表征单独气象参数的长期相似性,但存在对太阳辐射参数权重赋予过大的问题,适用于太阳能丰富地区;而主成分法适合寻求当地气象资源的本质特征,使用主成分法时对气象参数的选择尤为重要。
在建築能耗模擬用典型年的生成中,傳統的Finkelstein‐Schafer統計方法對氣象參數賦予瞭固定的權重因子,但有關研究錶明,由于地域間氣象資源不同,氣象參數權重因子的固化有待商榷。針對挑選典型年時氣象參數權重因子統一與否對典型年挑選結果和建築能耗模擬準確性的影響問題,選同一建築熱工分區中寒冷地區的代錶城市北京和拉薩,分彆使用FS方法和主成分法進行瞭典型年的挑選,併對典型公共建築建模進行瞭能耗模擬分析。結果錶明:FS統計方法適于錶徵單獨氣象參數的長期相似性,但存在對太暘輻射參數權重賦予過大的問題,適用于太暘能豐富地區;而主成分法適閤尋求噹地氣象資源的本質特徵,使用主成分法時對氣象參數的選擇尤為重要。
재건축능모모의용전형년적생성중,전통적Finkelstein‐Schafer통계방법대기상삼수부여료고정적권중인자,단유관연구표명,유우지역간기상자원불동,기상삼수권중인자적고화유대상각。침대도선전형년시기상삼수권중인자통일여부대전형년도선결과화건축능모모의준학성적영향문제,선동일건축열공분구중한랭지구적대표성시북경화랍살,분별사용FS방법화주성분법진행료전형년적도선,병대전형공공건축건모진행료능모모의분석。결과표명:FS통계방법괄우표정단독기상삼수적장기상사성,단존재대태양복사삼수권중부여과대적문제,괄용우태양능봉부지구;이주성분법괄합심구당지기상자원적본질특정,사용주성분법시대기상삼수적선택우위중요。
In the generation of the typical meteorological year (TMY )for building energy consumption simulation ,the traditional Finkelstein‐Schafer statistical method given fixed weighting factors to the meteorological parameters , but the relevant studies showed that there was debate for the curing of weighting factors of meteorological parameters due to the different regional meteorological resources . Aiming at the weighting factors of metorological parameters unity or not in selection of TMY and the impact of building energy consumption simulation , Beijing and Lhasa on behalf of the cold region in building thermal partitions , based on the methods of FS and principal component analysis (PCA ) was analyzed .The results showed that the FS statistical method is suitable for the similarity characterization of meteorological parameters for a long time and suitable for the solar energy rich area , there is too much weight given to solar radiation parameters across the country ;and the PCA method is suitable for the essential characteristics of the local meteorological resources , choice of meteorological parameters is particularly important w hen using this method .