Validation of Photovoltaic Spectral Effects Derived From Satellite-Based Solar Irradiance Products

被引:5
|
作者
Pelland, Sophie [1 ]
Gueymard, Christian A. A. [2 ]
机构
[1] CanmetENERGY Nat Resources Canada, Varennes, PQ J3X 1P7, Canada
[2] Solar Consulting Serv, Colebrook, NH 03576 USA
来源
IEEE JOURNAL OF PHOTOVOLTAICS | 2022年 / 12卷 / 06期
关键词
Data models; Benchmark testing; Atmospheric modeling; Photovoltaic systems; Analytical models; Satellites; North America; Irradiance; mismatch; photovoltaic (PV); satellite; solar; spectral; NARROW-BAND IRRADIANCES; AEROSOL OPTICAL DEPTH; SKY RADIATION MODEL; PRECIPITABLE WATER; ALGORITHM; AERONET; NETWORK;
D O I
10.1109/JPHOTOV.2022.3216501
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The Satellite Application Facility on Climate Monitoring (CM-SAF) Spectral Resolved Irradiance (SRI) and National Renewable Energy Laboratory National Solar Radiation Database Spectral on Demand (NSRDB-S) satellite-based spectral irradiance products are tested here against benchmark data and models at seven ground stations: one in Spain for CM-SAF SRI and six in North America for NSRDB-S. Benchmarks include WISER spectroradiometers, spectra modeled from SolarSIM-G measurements, the First Solar model of spectral mismatch factor (SMM), and the SMARTS radiative code with two alternate input sources: AErosol RObotic NETwork (AERONET) and the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) reanalysis. The satellite products are tested in terms of their ability to estimate photovoltaic (PV) spectral effects for six PV module technologies. Spectra are also compared directly. CM-SAF SRI generally outperforms First Solar and "no spectral effects " benchmarks, except for cadmium telluride modules. For NSRDB-S, predictions of long-term spectral derate factors show less skill than for instantaneous SMMs. Spectra comparisons reveal systematic differences between NSRDB-S and benchmark spectra, likely due to the NSRDB-S treatment of aerosols. Meanwhile, the mean SMARTS spectra with AERONET and MERRA-2 inputs are in good agreement, showing promise for the use of MERRA-2 as input to clear-sky models.
引用
收藏
页码:1361 / 1368
页数:8
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