An investigation of the key parameters for predicting PV soiling losses
Abstract
Abstract One hundred and two environmental and meteorological parameters have been investigated and compared with the performance of 20 soiling stations installed in the USA, in order to determine their ability to predict the soiling losses occurring on PV systems. The results of this investigation showed that the annual average of the daily mean particulate matter values recorded by monitoring stations deployed near the PV systems are the best soiling predictors, with coefficients of determination ( R 2 ) as high as 0.82. The precipitation pattern was also found to be relevant: among the different meteorological parameters, the average length of dry periods had the best correlation with the soiling ratio. A preliminary investigation of two‐variable regressions was attempted and resulted in an adjusted R 2 of 0.90 when a combination of PM 2.5 and a binary classification for the average length of the dry period was introduced. Copyright © 2017 John Wiley & Sons, Ltd.
- Authors:
-
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Publication Date:
- Research Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
- OSTI Identifier:
- 1351855
- Alternate Identifier(s):
- OSTI ID: 1401750
- Report Number(s):
- NREL/JA-5J00-67625
Journal ID: ISSN 1062-7995
- Grant/Contract Number:
- AC36-08GO28308; DE‐AC36‐08GO28308
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Progress in Photovoltaics
- Additional Journal Information:
- Journal Volume: 25; Journal Issue: 4; Journal ID: ISSN 1062-7995
- Publisher:
- Wiley
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 14 SOLAR ENERGY; soiling; photovoltaic performance; soiling losses; particulate matter; precipitation; linear regression
Citation Formats
Micheli, Leonardo, and Muller, Matthew. An investigation of the key parameters for predicting PV soiling losses. United States: N. p., 2017.
Web. doi:10.1002/pip.2860.
Micheli, Leonardo, & Muller, Matthew. An investigation of the key parameters for predicting PV soiling losses. United States. https://doi.org/10.1002/pip.2860
Micheli, Leonardo, and Muller, Matthew. Wed .
"An investigation of the key parameters for predicting PV soiling losses". United States. https://doi.org/10.1002/pip.2860. https://www.osti.gov/servlets/purl/1351855.
@article{osti_1351855,
title = {An investigation of the key parameters for predicting PV soiling losses},
author = {Micheli, Leonardo and Muller, Matthew},
abstractNote = {Abstract One hundred and two environmental and meteorological parameters have been investigated and compared with the performance of 20 soiling stations installed in the USA, in order to determine their ability to predict the soiling losses occurring on PV systems. The results of this investigation showed that the annual average of the daily mean particulate matter values recorded by monitoring stations deployed near the PV systems are the best soiling predictors, with coefficients of determination ( R 2 ) as high as 0.82. The precipitation pattern was also found to be relevant: among the different meteorological parameters, the average length of dry periods had the best correlation with the soiling ratio. A preliminary investigation of two‐variable regressions was attempted and resulted in an adjusted R 2 of 0.90 when a combination of PM 2.5 and a binary classification for the average length of the dry period was introduced. Copyright © 2017 John Wiley & Sons, Ltd.},
doi = {10.1002/pip.2860},
journal = {Progress in Photovoltaics},
number = 4,
volume = 25,
place = {United States},
year = {2017},
month = {1}
}
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Works referenced in this record:
Impact of dust on solar photovoltaic (PV) performance: Research status, challenges and recommendations
journal, December 2010
- Mani, Monto; Pillai, Rohit
- Renewable and Sustainable Energy Reviews, Vol. 14, Issue 9
Mapping Atmospheric Moisture Climatologies across the Conterminous United States
journal, October 2015
- Daly, Christopher; Smith, Joseph I.; Olson, Keith V.
- PLOS ONE, Vol. 10, Issue 10
Dry deposition and concentration of marine aerosols in a coastal area, SW Sweden
journal, March 1996
- Gustafsson, Mats E. R.; Franzén, Lars G.
- Atmospheric Environment, Vol. 30, Issue 6
Performance Evaluation of CdTe PV Modules under Natural Outdoor Conditions in Kuwait
text, January 2010
- AlBusairi, H. A.; Möller, H. J.
- WIP-Munich
Assessment of PM dry deposition on solar energy harvesting systems: Measurement–model comparison
journal, February 2016
- Boyle, Liza; Flinchpaugh, Holly; Hannigan, Michael
- Aerosol Science and Technology, Vol. 50, Issue 4
Measuring soiling losses at utility-scale PV power plants
conference, June 2014
- Gostein, Michael; Caron, J. Riley; Littmann, Bodo
- 2014 IEEE 40th Photovoltaic Specialists Conference (PVSC), 2014 IEEE 40th Photovoltaic Specialist Conference (PVSC)
Soiling losses for solar photovoltaic systems in California
journal, September 2013
- Mejia, Felipe A.; Kleissl, Jan
- Solar Energy, Vol. 95
Effect of Distance from Sea on Atmospheric Corrosion Rate
journal, September 1999
- Feliu, S.; Morcillo, M.; Chico, B.
- CORROSION, Vol. 55, Issue 9
A scalable method for extracting soiling rates from PV production data
conference, June 2016
- Deceglie, Michael G.; Muller, Matthew; Defreitas, Zoe
- 2016 IEEE 43rd Photovoltaic Specialists Conference (PVSC)
Effect of dust and weather conditions on photovoltaic performance in Doha, Qatar
conference, March 2015
- Guo, Bing; Javed, W.; Figgis, B. W.
- 2015 First Workshop on Smart Grid and Renewable Energy (SGRE)
Ambient airborne particle concentration and soiling of PV cover plates
conference, June 2014
- Boyle, Liza; Flinchpaugh, Holly; Hannigan, Mike
- 2014 IEEE 40th Photovoltaic Specialists Conference (PVSC), 2014 IEEE 40th Photovoltaic Specialist Conference (PVSC)
Constructing Retrospective Gridded Daily Precipitation and Temperature Datasets for the Conterminous United States
journal, February 2008
- Di Luzio, Mauro; Johnson, Gregory L.; Daly, Christopher
- Journal of Applied Meteorology and Climatology, Vol. 47, Issue 2
World Map of the Köppen-Geiger climate classification updated [World Map of the Köppen-Geiger climate classification updated]
journal, July 2006
- Kottek, Markus; Grieser, Jürgen; Beck, Christoph
- Meteorologische Zeitschrift, Vol. 15, Issue 3
Near-Roadway Air Quality: Synthesizing the Findings from Real-World Data
journal, July 2010
- Karner, Alex A.; Eisinger, Douglas S.; Niemeier, Deb A.
- Environmental Science & Technology, Vol. 44, Issue 14
Accurately measuring PV soiling losses with soiling station employing module power measurements
conference, June 2015
- Gostein, Michael; Duster, Tim; Thuman, Christopher
- 2015 IEEE 42nd Photovoltaic Specialists Conference (PVSC), 2015 IEEE 42nd Photovoltaic Specialist Conference (PVSC)
Direct Monitoring of Energy Lost Due to Soiling on First Solar Modules in California
journal, January 2013
- Caron, J. Riley; Littmann, Bodo
- IEEE Journal of Photovoltaics, Vol. 3, Issue 1
Evaluation of Global Horizontal Irradiance to Plane-of-Array Irradiance Models at Locations Across the United States
journal, March 2015
- Lave, Matthew; Hayes, William; Pohl, Andrew
- IEEE Journal of Photovoltaics, Vol. 5, Issue 2
Aeolian dust deposition on photovoltaic solar cells: the effects of wind velocity and airborne dust concentration on cell performance
journal, July 1999
- Goossens, Dirk; Van Kerschaever, Emmanuel
- Solar Energy, Vol. 66, Issue 4
Optimized Cleaning Cost and Schedule Based on Observed Soiling Conditions for Photovoltaic Plants in Central Saudi Arabia
journal, May 2016
- Jones, Russell K.; Baras, Abdulaziz; Saeeri, Abdullah Al
- IEEE Journal of Photovoltaics, Vol. 6, Issue 3
Holistic model for atmospheric corrosion Part 1 - Theoretical framework for production, transportation and deposition of marine salts
journal, June 2003
- Cole, I. S.; Paterson, D. A.; Ganther, W. D.
- Corrosion Engineering, Science and Technology, Vol. 38, Issue 2
Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors
journal, March 2016
- van Donkelaar, Aaron; Martin, Randall V.; Brauer, Michael
- Environmental Science & Technology, Vol. 50, Issue 7
Calculating solar radiation for inclined surfaces: Practical approaches
journal, June 1993
- Hay, John E.
- Renewable Energy, Vol. 3, Issue 4-5
Systematic experimental study of the pollution deposition impact on the energy yield of photovoltaic installations
journal, October 2011
- Kaldellis, J. K.; Fragos, P.; Kapsali, M.
- Renewable Energy, Vol. 36, Issue 10
Modelling sea-salt transport and deposition in marine atmosphere zone – A tool for corrosion studies
journal, September 2008
- Meira, G. R.; Andrade, C.; Alonso, C.
- Corrosion Science, Vol. 50, Issue 9
The Effect of Soiling on Large Grid-Connected Photovoltaic Systems in California and the Southwest Region of the United States
conference, May 2006
- Kimber, A.; Mitchell, L.; Nogradi, S.
- 2006 IEEE 4th World Conference on Photovoltaic Energy Conference
Measurements and modelling of marine salt transportation and deposition in a tropical region in Brazil
journal, September 2006
- Meira, G.; Andrade, M.; Padaratz, I.
- Atmospheric Environment, Vol. 40, Issue 29
Determining the effects of environment and atmospheric parameters on PV field performance
conference, June 2016
- Micheli, Leonardo; Muller, Matthew; Kurtz, Sarah
- 2016 IEEE 43rd Photovoltaic Specialists Conference (PVSC)
Direct monitoring of energy lost due to soiling on first solar modules in California
conference, June 2013
- Caron, J. Riley; Littmann, Bodo
- 2012 IEEE 38th Photovoltaic Specialists Conference (PVSC) PART 2
Direct monitoring of energy lost due to soiling on first solar modules in California
conference, June 2012
- Caron, J. Riley; Littmann, Bodo
- 2012 IEEE 38th Photovoltaic Specialists Conference (PVSC) PART 2
Works referencing / citing this record:
Soiling of Photovoltaic Modules: Comparing between Two Distinct Locations within the Framework of Developing the Photovoltaic Soiling Index (PVSI)
journal, August 2019
- Alquthami, Thamer; Menoufi, Karim
- Sustainability, Vol. 11, Issue 17
A method to predict solar photovoltaic soiling using artificial neural networks and multiple linear regression models
journal, July 2019
- Chiteka, Kudzanayi; Arora, Rajesh; Sridhara, S. N.
- Energy Systems, Vol. 11, Issue 4
An investigation of the dust accumulation on photovoltaic panels
journal, November 2019
- Jaszczur, Marek; Koshti, Ambalika; Nawrot, Weronika
- Environmental Science and Pollution Research, Vol. 27, Issue 2
Predicting photovoltaic soiling losses using environmental parameters: An update
journal, October 2018
- Micheli, Leonardo; Deceglie, Michael G.; Muller, Matthew
- Progress in Photovoltaics: Research and Applications, Vol. 27, Issue 3