Seasonal Trends of Soiling on Photovoltaic Systems: Preprint

Matthew Muller; Leonardo Micheli

Seasonal Trends of Soiling on Photovoltaic Systems: Preprint

Matthew Muller, Leonardo Micheli

Materials Science

Colorado School of Mines

Research output: Contribution to conference › Paper

Abstract

This work investigates the seasonal variability of PV soiling losses over a 12-month period for sixteen soiling stations deployed in the USA. A new parameter able to rank the sites according to the cumulative losses occurring over 3- and 6- month periods is presented. The relations between soiling losses and particulate matter are briefly discussed as well. Moving from long-term to shorter-term data increases the complexity of the analysis: monthly correlations are found to have lower accuracy than the longer term ones presented in the literature.

Original language	American English
Number of pages	8
State	Published - 2018
Event	44th IEEE Photovoltaic Specialists Conference - Washington, D.C. Duration: 25 Jun 2017 → 30 Jun 2017

Conference

Conference	44th IEEE Photovoltaic Specialists Conference
City	Washington, D.C.
Period	25/06/17 → 30/06/17

Bibliographical note

See NREL/CP-5K00-73966 for paper as published in IEEE proceedings

NREL Publication Number

NREL/CP-5J00-68673

Keywords

particulates
PV soiling loss

UN SDGs

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

Access to Document

https://www.nrel.gov/docs/fy18osti/68673.pdf

Cite this

@conference{cf05e18b3e2940c9b6431601d30a86e8,

title = "Seasonal Trends of Soiling on Photovoltaic Systems: Preprint",

abstract = "This work investigates the seasonal variability of PV soiling losses over a 12-month period for sixteen soiling stations deployed in the USA. A new parameter able to rank the sites according to the cumulative losses occurring over 3- and 6- month periods is presented. The relations between soiling losses and particulate matter are briefly discussed as well. Moving from long-term to shorter-term data increases the complexity of the analysis: monthly correlations are found to have lower accuracy than the longer term ones presented in the literature.",

keywords = "particulates, PV soiling loss",

author = "Matthew Muller and Leonardo Micheli",

note = "See NREL/CP-5K00-73966 for paper as published in IEEE proceedings; 44th IEEE Photovoltaic Specialists Conference ; Conference date: 25-06-2017 Through 30-06-2017",

year = "2018",

language = "American English",

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TY - CONF

T1 - Seasonal Trends of Soiling on Photovoltaic Systems: Preprint

AU - Muller, Matthew

AU - Micheli, Leonardo

N1 - See NREL/CP-5K00-73966 for paper as published in IEEE proceedings

PY - 2018

Y1 - 2018

N2 - This work investigates the seasonal variability of PV soiling losses over a 12-month period for sixteen soiling stations deployed in the USA. A new parameter able to rank the sites according to the cumulative losses occurring over 3- and 6- month periods is presented. The relations between soiling losses and particulate matter are briefly discussed as well. Moving from long-term to shorter-term data increases the complexity of the analysis: monthly correlations are found to have lower accuracy than the longer term ones presented in the literature.

AB - This work investigates the seasonal variability of PV soiling losses over a 12-month period for sixteen soiling stations deployed in the USA. A new parameter able to rank the sites according to the cumulative losses occurring over 3- and 6- month periods is presented. The relations between soiling losses and particulate matter are briefly discussed as well. Moving from long-term to shorter-term data increases the complexity of the analysis: monthly correlations are found to have lower accuracy than the longer term ones presented in the literature.

KW - particulates

KW - PV soiling loss

M3 - Paper

T2 - 44th IEEE Photovoltaic Specialists Conference

Y2 - 25 June 2017 through 30 June 2017

ER -

Seasonal Trends of Soiling on Photovoltaic Systems: Preprint

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this