Soiling of photovoltaic (PV) panels is typically quantified through the use of specialized sensors. Here, we describe and validate a method for estimating soiling loss experienced by PV systems directly from system yield without the need for precipitation data. The method, termed the stochastic rate and recovery (SRR) method, automatically detects soiling intervals in a dataset, then stochastically generates a sample of possible soiling profiles based on the observed characteristics of each interval. In this paper, we describe the method, validate it against soiling station measurements, and compare it with other PV-yield-based soiling estimation methods. The broader application of the SRR method will enable the fleet scale assessment of soiling loss to facilitate mitigation planning and risk assessment.

Quantifying soiling loss directly from PV yield / Deceglie, M. G.; Micheli, L.; Muller, M.. - In: IEEE JOURNAL OF PHOTOVOLTAICS. - ISSN 2156-3381. - 8:2(2018), pp. 547-551. [10.1109/JPHOTOV.2017.2784682]

Quantifying soiling loss directly from PV yield

Micheli L.;
2018

Abstract

Soiling of photovoltaic (PV) panels is typically quantified through the use of specialized sensors. Here, we describe and validate a method for estimating soiling loss experienced by PV systems directly from system yield without the need for precipitation data. The method, termed the stochastic rate and recovery (SRR) method, automatically detects soiling intervals in a dataset, then stochastically generates a sample of possible soiling profiles based on the observed characteristics of each interval. In this paper, we describe the method, validate it against soiling station measurements, and compare it with other PV-yield-based soiling estimation methods. The broader application of the SRR method will enable the fleet scale assessment of soiling loss to facilitate mitigation planning and risk assessment.
2018
field performance; Monte Carlo methods; photovoltaic cells; photovoltaic systems; soiling; solar energy; solarpanels; time series analysis
01 Pubblicazione su rivista::01a Articolo in rivista
Quantifying soiling loss directly from PV yield / Deceglie, M. G.; Micheli, L.; Muller, M.. - In: IEEE JOURNAL OF PHOTOVOLTAICS. - ISSN 2156-3381. - 8:2(2018), pp. 547-551. [10.1109/JPHOTOV.2017.2784682]
File allegati a questo prodotto
File Dimensione Formato  
Deceglie_Quantifying Soiling_2018.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 334.63 kB
Formato Adobe PDF
334.63 kB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1625151
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 66
  • ???jsp.display-item.citation.isi??? 61
social impact