Comparing PV Power Plant Soiling Measurements Extracted from PV Module Irradiance and Power Measurements

被引:0
|
作者
Gosteini, Michael [1 ]
Littmann, Bodo [2 ]
Caron, J. Riley [2 ]
Dunn, Lawrence [1 ]
机构
[1] Atonometr, 8900 Shoal Creek Blvd,Suite 116, Austin, TX 78757 USA
[2] First Solar, San Francisco, CA 94105 USA
来源
2013 IEEE 39TH PHOTOVOLTAIC SPECIALISTS CONFERENCE (PVSC) | 2013年
关键词
measurement uncertainty; performance analysis; photovoltaic systems; solar power generation; dust; module soiling;
D O I
暂无
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 accumulation of dust and other environmental contaminants on PV modules, also known as PV module soiling, is a significant source of lost potential power generation for PV installations. Designers and operators of utility-scale solar power plants are increasingly seeking methods to quantify soiling-related losses, in order to improve performance modeling and verification or to optimize washing schedules. Recently, soiling measurement equipment has been introduced based on the measurement of two co-planar PV modules, one of which is regularly cleaned, and the other of which naturally accumulates environmental contaminants. These measurements are used to determine a soiling ratio (SR), which may be applied as a derate factor in analysis of the PV system performance. In this work, we examine the difference between a soiling ratio metric calculated from measured temperature-corrected short-circuit current values (SRIsc), which represents the fraction of irradiance reaching the soiled modules, versus a soiling ratio calculated from measured temperature-corrected PV module maximum power values (SRPmax), which represents the fraction of power produced by the soiled modules compared to clean modules. We examine both techniques for CdTe and c-Si module technologies. This study is motivated by the fact that variations in module efficiency versus irradiance, as well as any non-uniformity of soiling, may introduce differences between the power losses estimated from short-circuit current values versus actual soiling-induced power losses. For CdTe, the SRIsc method is found to be a good proxy for the SRPmax method for non-uniform soiling levels up to 11%.
引用
收藏
页码:3004 / 3009
页数:6
相关论文
共 50 条
  • [1] Accurately Measuring PV Soiling Losses with Soiling Station Employing PV Module Power Measurements
    Gostein, Michael
    Stueve, Bill
    Chan, Mandy
    2017 IEEE 44TH PHOTOVOLTAIC SPECIALIST CONFERENCE (PVSC), 2017, : 2808 - 2810
  • [2] Accurately Measuring PV Soiling Losses With Soiling Station Employing Module Power Measurements
    Gostein, Michael
    Duester, Tim
    Thuman, Christopher
    2015 IEEE 42ND PHOTOVOLTAIC SPECIALIST CONFERENCE (PVSC), 2015,
  • [3] Comparison of PV Module Power Output Measurements.
    Bupi, Aekkawat
    Kittisontirak, Songkiate
    Sriprapha, Kobsak
    Suriyaammaranon, Chabar
    Titiroongruang, Wisut
    Niemcharoen, Surasak
    2017 INTERNATIONAL ELECTRICAL ENGINEERING CONGRESS (IEECON), 2017,
  • [4] Soiling Forecast and Measurements for large PV Power Generation Projects in Dessert Environments.
    Capdevila, Hugo
    Naidoo, Vijandren
    Graeber, Max
    2016 IEEE 43RD PHOTOVOLTAIC SPECIALISTS CONFERENCE (PVSC), 2016, : 2071 - 2075
  • [5] Forecasts of PV Power Output Using Power Measurements of 80 Residential PV Installs
    Lonij, Vincent P. A.
    Jayadevan, Vijai Thottathil
    Brooks, Adria E.
    Rodriguez, Jeffrey J.
    Koch, Kevin
    Leuthold, Michael
    Cronin, Alexander D.
    2012 38TH IEEE PHOTOVOLTAIC SPECIALISTS CONFERENCE (PVSC), 2012, : 3300 - 3305
  • [6] Accurate Power Prediction of Spatially Distributed PV Systems using Localized Irradiance Measurements
    Gotseff, Peter
    Cale, James
    Baggu, Murali
    Narang, David
    Carroll, Kevin
    2014 IEEE PES GENERAL MEETING - CONFERENCE & EXPOSITION, 2014,
  • [7] Estimating PV power from aggregate power measurements within the distribution grid
    Vrettos, E.
    Kara, E. C.
    Stewart, E. M.
    Roberts, C.
    JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2019, 11 (02)
  • [8] From irradiance to output power fluctuations: the pv plant as a low pass filter
    Marcos, Javier
    Marroyo, Luis
    Lorenzo, Eduardo
    Alvira, David
    Izco, Eloisa
    PROGRESS IN PHOTOVOLTAICS, 2011, 19 (05): : 505 - 510
  • [9] A Power Forecasting Approach for PV Plant based on Irradiance Index and LSTM
    He, Hui
    Hu, Ran
    Zhang, Yaning
    Zhang, Ying
    Jiao, Runhai
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 9404 - 9409
  • [10] Translation of outdoor tandem PV module I-V measurements to a STC power rating
    Steiner, Marc
    Siefer, Gerald
    PROGRESS IN PHOTOVOLTAICS, 2023, 31 (08): : 862 - 869