Design principles and field performance of a solar spectral irradiance meter

被引:26
作者
Tatsiankou, V. [1 ]
Hinzer, K. [1 ]
Haysom, J. [1 ]
Schriemer, H. [1 ]
Emery, K. [2 ]
Beal, R. [3 ]
机构
[1] Univ Ottawa, SUNLAB, Ottawa, ON K1N 6N5, Canada
[2] Natl Renewable Energy Lab, Golden, CO 80401 USA
[3] COFOVO Energy Inc, Ottawa, ON K1N 6N5, Canada
关键词
Solar spectral irradiance meter; SSIM; Direct normal spectral irradiance; Solar resource assessment; Atmospheric parameterization; Solar spectrum; OPTICAL DEPTH; MODEL; PARAMETERS; AERONET; ENERGY; SYSTEM; IMPACT; MODULE;
D O I
10.1016/j.solener.2016.03.054
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
A solar spectral irradiance meter (SSIM), designed for measuring the direct normal irradiance (DNI) in six wavelength bands, has been combined with models to determine key atmospheric transmittances and the resulting spectral irradiance distribution of DNI under all sky conditions. The design principles of the SSIM, implementation of a parameterized transmittance model, and field performance comparisons of modeled solar spectra with reference radiometer measurements are presented. Two SSIMs were tested and calibrated at the National Renewable Energy Laboratory (NREL) against four spectroradiometers and an absolute cavity radiometer. The SSIMs' DNI was on average within 1% of the DNI values reported by one of NREL's primary absolute cavity radiometers. An additional SSIM was installed at the SUNLAB Outdoor Test Facility in September 2014, with ongoing collection of environmental and spectral data. The SSIM's performance in Ottawa was compared against a commercial pyrheliometer and a spectroradiometer over an eight month study. The difference in integrated daily spectral irradiance between the SSIM and the ASD spectroradiometer was found to be less than 1%. The cumulative energy density collected by the SSIM over this duration agreed with that measured by an Eppley model NIP pyrheliometer to within 0.5%. No degradation was observed. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:94 / 102
页数:9
相关论文
共 36 条
[1]  
[Anonymous], 2021, REPORT FSEC PF 270 9
[2]  
[Anonymous], 2008, WORLD METEOROLOGICAL
[3]  
[Anonymous], 2005, FUNDAMENTALS ATMOSPH, DOI DOI 10.1017/CBO9781139165389
[4]  
BIRD RE, 1986, J CLIM APPL METEOROL, V25, P87, DOI 10.1175/1520-0450(1986)025<0087:SSSMFD>2.0.CO
[5]  
2
[6]  
Bodhaine BA, 1999, J ATMOS OCEAN TECH, V16, P1854, DOI 10.1175/1520-0426(1999)016<1854:ORODC>2.0.CO
[7]  
2
[8]   RAYLEIGH-SCATTERING CALCULATIONS FOR THE TERRESTRIAL ATMOSPHERE [J].
BUCHOLTZ, A .
APPLIED OPTICS, 1995, 34 (15) :2765-2773
[9]   ATMOSPHERIC OPTICAL CALIBRATION SYSTEM FOR OUTDOOR TESTING OF PHOTOVOLTAIC DEVICES [J].
CANNON, TW ;
HULSTROM, RL .
METROLOGIA, 1993, 30 (04) :409-417
[10]   Impact of individual atmospheric parameters on CPV system power, energy yield and cost of energy [J].
Chan, Ngai Lam Alvin ;
Brindley, Helen E. ;
Ekins-Daukes, Nicholas John .
PROGRESS IN PHOTOVOLTAICS, 2014, 22 (10) :1080-1095