光热电站太阳能典型气象年的气象要素权重取值分析  

Analysis on Weight Value of Meteorological Factors in Solar Energy Typical Meteorological Year for CSP

作　　者：陈键[1] 陈伟[1] CHEN Jian;CHEN Wei(PowerChina Northwest Engineering Corporation Limited,Xi'an 710065,China)

机构地区：[1]中国电建集团西北勘测设计研究院有限公司,陕西西安710065

出　　处：《电力勘测设计》2024年第5期5-11,57,共8页Electric Power Survey & Design

摘　　要：影响光热电站(CSP)性能的各气象要素主要有水平面总辐射(GHI)、法向直接辐射(DNI)、温度及风速,各气象要素的权重因子赋值不同会导致典型气象年(TMY)结果的差异。本文以西北某地区多年实测辐射数据以及长系列卫星辐射数据为研究基础数据,分别采用Sandia、SolarGIS及CSWD的分析方法,采用随机赋值法,得出我国西北某地区光热电站典型年太阳能资源分析DNI、GHI、风速、温度的权重取值如下:采用Sandia方法时,分别为0.6、0.2、0.1及0.1;采用SolarGIS方法时,分别为0.7、0.1、0.1及0.1;采用CSWD方法时,分别为0.6、0.1、0.2及0.1。本文的研究结果将为太阳能光热电站的高效利用及推广提供一定的借鉴。The main meteorological factors affecting the performance of concentrating solar thermal power(CSP)are Global horizontal radiation(GHI),direct normal radiation(DNI),temperature and wind speed.The different weighting factors of each meteorological factor may cause the difference of TMY.Based on the solar energy data of long series of measured and satellite radiation data in a certain area of northwest China,this project using the random weighting method determines the values of weight factor of the main meteorological factors.Weight factors of DNI,GHI,temperature and wind speed are as follows:using Sandia method,are 0.6,0.2,0.1,0.1;using SolarGIS method,are 0.7,0.1,0.1,0.1;using CSWD method,are0.6,0.1,0.2,0.1.The results of this paper will provide some reference for the efficient utilization and popularization of CSP.

关 键 词：光热电站 典型气象年 权重系数 Sandia方法 SolarGIS方法 CSWD方法 

分 类 号：TM615[电气工程—电力系统及自动化]