为了研究晴空模型在中国北方地区的适用性,采用北方地区7个站点的逐分钟太阳总辐射数据以及MERRA-2分析数据,选取Reno方法筛选晴空时段,之后选取11个统计量对7个晴空模型的性能进行评估,并采用主成分分析方法对模型进行排名。结果表明:模型综合排名由高到低依次为MAC2、REST2V5、BIRD、INEICHEN、IQBAL-C、sSOLIS、ESRA。Dong MAC2和REST2V5模型计算晴空条件下的太阳辐射准确率较高,在北方地区的适用性较好。
Abstract
In order to study the applicability of clear-sky models in northern China, this study uses 1-minute global horizontal solar irradiance and MERRA-2 reanalysis data from seven stations in Northern China, selects the Reno method to filter clear-sky periods, evaluates the performance of seven clear-sky models by eleven statistics, and adopts the principal component analysis method to rank the models. The results, ranked in descending order (from high to low) are as follows: MAC2, REST2V5, BIRD, INEICHEN, IQBAL-C, sSOLIS, ESRA. The MAC2 and REST2V5 models have high accuracy in calculating solar radiation in clear sky and have good applicability in northern regions.
关键词
总辐射 /
晴空模型 /
MERRA-2再分析资料 /
北方地区
Key words
global horizontal irradiance /
clear-sky model /
MERRA-2 reanalysis /
Northern China
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基金
甘肃省重点人才项目(2021RCXM049); 甘肃省青年科技基金(21JR7RA546; 20JR5RA544); 中国科学院沙漠与沙漠化重点实验室开放课题(KLDD-2020-004)