Efficiency degradation due to modules soiling is a key factor in photovoltaic plants, which must be accurately taken into account in order to set a maintenance program, which optimizes the production/cost ratio. In this paper a model is developed, which accounts for the losses in the energy production due to dust and other kind of dirt. A small PV system with a proper measurement bench and a reference panel kept clean was set up allowing to identify different shading effects due to different kinds of soiling. Early results allowed identifying different soiling factors on current and voltage. This will enable the development of a smart system optimizing the PV plant maintenance, especially for the module cleaning interventions.

Photovoltaic plant maintainability optimization and degradation detection: Modelling and characterization / Cova, P.; Delmonte, N.; Lazzaroni, M.. - In: MICROELECTRONICS RELIABILITY. - ISSN 0026-2714. - 88-90(2018), pp. 1077-1082. [10.1016/j.microrel.2018.07.021]

Photovoltaic plant maintainability optimization and degradation detection: Modelling and characterization

P. Cova;N. Delmonte;
2018

Abstract

Efficiency degradation due to modules soiling is a key factor in photovoltaic plants, which must be accurately taken into account in order to set a maintenance program, which optimizes the production/cost ratio. In this paper a model is developed, which accounts for the losses in the energy production due to dust and other kind of dirt. A small PV system with a proper measurement bench and a reference panel kept clean was set up allowing to identify different shading effects due to different kinds of soiling. Early results allowed identifying different soiling factors on current and voltage. This will enable the development of a smart system optimizing the PV plant maintenance, especially for the module cleaning interventions.
Photovoltaic plant maintainability optimization and degradation detection: Modelling and characterization / Cova, P.; Delmonte, N.; Lazzaroni, M.. - In: MICROELECTRONICS RELIABILITY. - ISSN 0026-2714. - 88-90(2018), pp. 1077-1082. [10.1016/j.microrel.2018.07.021]
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S0026271418305638-main.pdf

solo utenti autorizzati

Descrizione: Paper
Tipologia: Versione (PDF) editoriale
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 2.1 MB
Formato Adobe PDF
2.1 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
pagination_MR_13024.pdf

accesso aperto

Tipologia: Documento in Post-print
Licenza: Creative commons
Dimensione 2.05 MB
Formato Adobe PDF
2.05 MB Adobe PDF Visualizza/Apri

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: http://hdl.handle.net/11381/2850721
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 9
  • ???jsp.display-item.citation.isi??? 7
social impact