Solar resource assessment method

• Main Authors: XIANG LI, WANG WEISHENG, MA ZHENQIANG, WANG ZHENG, ZHANG FEI, YANG HONGYING, WANG XIAORONG, WANG BO, FENG SHUANGLEI, JIANG WENLING, JIN SHUANGLONG, LU JING, ZHAO YANQING, LIU CHUN, HU JU, CHE JIANFENG
• Format: Patent
• Language: Chinese; English
• Published: 19.11.2014
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention relates to a solar resource assessment method. The method includes the steps of (1) establishing a regional solar resource map to obtain a solar irradiance data set S in an area; (2) building a measured data set Q; (3) building a data subset and calculating a weighting coefficient for each grid point; and (4) correcting an irradiance data set SP in the next 24h generated by a numerical weather predication model, and establishing a solar resource real-time distribution map. Considering the screening of the measured data, the solar resource assessment method can obtain relatively accurate regional solar resource distribution with as less sites as possible so as to save equipment installation and data storage resources. The linear relation and weighted average are integrated for calculating a correction coefficient, the amount of calculation is reduced, and the speed of calculation is improved. According to the invention, the real-time monitoring data and numerical weather prediction results are co