建筑能耗模拟典型年中气象参数权重的确定
Determination of the weighing values of meteorological parameters in TMY of building energy consumption simulation
李红莲 1杨柳 2于军琪 1侯立强 2许馨尹1
作者信息
- 1. 西安建筑科技大学 信息与控制工程学院，西安710055
- 2. 西安建筑科技大学 建筑学院，西安710055
- 折叠
摘要
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。
Abstract
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 .
关键词
典型气象年/权重因子/寒冷地区/建筑能耗模拟Key words
typical meteorological year/weighting factor/cold region/building energy consumption simula-tio n引用本文复制引用
基金项目
陕西省重点科技创新团队项目(2012 KCT-11)
国家自然科学基金(51108366)
出版年
2015
NETL
NSTL
维普
万方数据