Evaluation of clear-sky and satellite-derived irradiance data for determining the degradation of photovoltaic system performance

被引:7
作者
Marion, Bill [1 ]
机构
[1] Natl Renewable Energy Lab, 15013 Denver West Pkwy, Golden, CO 80401 USA
关键词
Irradiance; Clear-sky; Model; Photovoltaic; Degradation; System; SOLAR-RADIATION; UNITED-STATES; TRENDS; COMPONENTS; SERIES;
D O I
10.1016/j.solener.2021.05.071
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
Knowing the degradation in performance of a photovoltaic (PV) system over time is important for estimating the lifetime energy produced and the financial return. A key parameter for normalizing performance and determining degradation is the plane-of-array (POA) irradiance. Because accurate long-term POA measurements are not always readily available, three methods of providing irradiance data for determining the degradation rate of PV systems were evaluated & mdash;a method using irradiance data modeled with the Ineichen clear-sky model and monthly Linke turbidity coefficients, a method using the supplemental clear-sky irradiance data from the National Solar Radiation Data Base (NSRDB), and a method using the NSRDB solar irradiance data for both cloudy and clear-sky conditions (all-sky).& nbsp; The irradiance data from the three methods were evaluated using measured irradiance data from 1998 through 2018 for the seven-station SURFRAD network and for 3-, 5-, and 10-year periods that might be used for evaluating PV system performance. Only the two clear-sky methods for the 10-year periods had less uncertainty with respect to determining PV system degradation than the expected median degradation rate for PV systems of -0.5%/year to -0.6%/year. Shorter periods and the all-sky method had larger uncertainties, making their use questionable for determining the degradation rates of PV systems.
引用
收藏
页码:376 / 383
页数:8
相关论文
共 26 条
[1]  
Augustine JA, 2000, B AM METEOROL SOC, V81, P2341, DOI 10.1175/1520-0477(2000)081<2341:SANSRB>2.3.CO
[2]  
2
[3]   System-level performance and degradation of 21 GWDC of utility-scale PV plants in the United States [J].
Bolinger, Mark ;
Gorman, Will ;
Millstein, Dev ;
Jordan, Dirk .
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2020, 12 (04)
[4]   Assessment of the effect of air pollution controls on trends in shortwave radiation over the United States from 1995 through 2010 from multiple observation networks [J].
Gan, C. -M. ;
Pleim, J. ;
Mathur, R. ;
Hogrefe, C. ;
Long, C. N. ;
Xing, J. ;
Roselle, S. ;
Wei, C. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2014, 14 (03) :1701-1715
[5]   Evaluation of conventional and high-performance routine solar radiation measurements for improved solar resource, climatological trends, and radiative modeling [J].
Gueymard, Christian A. ;
Myers, Daryl R. .
SOLAR ENERGY, 2009, 83 (02) :171-185
[6]  
Habte A., 2017, Nrel/Tp-5D00-67722 (NREL), P1
[7]   Long-term spatial and temporal solar resource variability over America using the NSRDB version 3 (1998-2017) [J].
Habte, Aron ;
Sengupta, Manajit ;
Gueymard, Christian ;
Golnas, Anastasios ;
Xie, Yu .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2020, 134
[8]  
Hay J., 1988, Final report IEA task IX-Calculation of solar irradiances for inclined surfaces: verification of models which use hourly and daily data
[9]  
Holmgren W.F., 2018, J. Open Source Softw., V3, P884, DOI DOI 10.21105/JOSS.00884
[10]   A new airmass independent formulation for the Linke turbidity coefficient [J].
Ineichen, P ;
Perez, R .
SOLAR ENERGY, 2002, 73 (03) :151-157