The Modeling of the Effects of Soiling, Its Mechanisms, and the Corresponding Abrasion: NREL (National Renewable Energy Laboratory)

Lin Simpson; Matthew Muller; Michael Deceglie; David Miller; Helio Moutinho

The Modeling of the Effects of Soiling, Its Mechanisms, and the Corresponding Abrasion: NREL (National Renewable Energy Laboratory)

Lin Simpson, Matthew Muller, Michael Deceglie, David Miller, Helio Moutinho

Materials Science

Research output: NREL › Presentation

Abstract

Decreasing LCOE with predictive soiling loss models (using site data to predict annualized energy loss), quantification of different soiling mechanisms (using AFM-based characterization), and developing standards for PV module coatings.

Original language	American English
Number of pages	33
State	Published - 2016

Publication series

Name	Presented at the 2016 Photovoltaic Module Reliability Workshop, 23-25 February 2016, Lakewood, Colorado

NREL Publication Number

NREL/PR-5K00-66822

Keywords

abrasion test
module coatings
photovoltaics
PV module
reliability
soiling rate model

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

https://www.nrel.gov/docs/fy16osti/66822.pdf

Cite this

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abstract = "Decreasing LCOE with predictive soiling loss models (using site data to predict annualized energy loss), quantification of different soiling mechanisms (using AFM-based characterization), and developing standards for PV module coatings.",

keywords = "abrasion test, module coatings, photovoltaics, PV module, reliability, soiling rate model",

author = "Lin Simpson and Matthew Muller and Michael Deceglie and David Miller and Helio Moutinho",

year = "2016",

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series = "Presented at the 2016 Photovoltaic Module Reliability Workshop, 23-25 February 2016, Lakewood, Colorado",

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T2 - NREL (National Renewable Energy Laboratory)

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AU - Muller, Matthew

AU - Deceglie, Michael

AU - Miller, David

AU - Moutinho, Helio

PY - 2016

Y1 - 2016

N2 - Decreasing LCOE with predictive soiling loss models (using site data to predict annualized energy loss), quantification of different soiling mechanisms (using AFM-based characterization), and developing standards for PV module coatings.

AB - Decreasing LCOE with predictive soiling loss models (using site data to predict annualized energy loss), quantification of different soiling mechanisms (using AFM-based characterization), and developing standards for PV module coatings.

KW - abrasion test

KW - module coatings

KW - photovoltaics

KW - PV module

KW - reliability

KW - soiling rate model

M3 - Presentation

T3 - Presented at the 2016 Photovoltaic Module Reliability Workshop, 23-25 February 2016, Lakewood, Colorado

ER -

The Modeling of the Effects of Soiling, Its Mechanisms, and the Corresponding Abrasion: NREL (National Renewable Energy Laboratory)

Abstract

Publication series

NREL Publication Number

Keywords

UN SDGs

Access to Document

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Cite this