Comparison of Ground-based and Satellite-based Irradiance Data for Photovoltaic Yield Estimation

Marco Ernst; Andrew Thomson; Ingrid Haedrich; Andrew Blakers

doi:10.1016/j.egypro.2016.07.139

Comparison of Ground-based and Satellite-based Irradiance Data for Photovoltaic Yield Estimation

Marco Ernst^*, Andrew Thomson, Ingrid Haedrich, Andrew Blakers

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

16 Citations (Scopus)

Abstract

High accuracy of yield prediction is of utmost importance for commercial scale photovoltaic systems. One key parameter crucial to the prediction accuracy is the choice and availability of reliable solar radiation data. In this work we investigate the impact of two fundamentally different irradiance data sources on the calculation of the yearly yield and performance ratio for five locations in different climatic regions of Australia. We find an overestimation of the yield calculation of up to 9.3% for satellite-based climate irradiance data compared against one-minute ground-based irradiance data. The yield overestimation shows a general correlation with the number of cloudy days. We propose a linear correction of the yield calculation which allows to improve the prediction accuracy based on more broadly available satellite-based irradiance data.

Original language	English
Pages (from-to)	546-553
Number of pages	8
Journal	Energy Procedia
Volume	92
DOIs	https://doi.org/10.1016/j.egypro.2016.07.139
Publication status	Published - 1 Aug 2016
Event	6th International Conference on Crystalline Silicon Photovoltaics, SiliconPV 2016 - Chambery, France Duration: 7 Mar 2016 → 9 Mar 2016

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10.1016/j.egypro.2016.07.139

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title = "Comparison of Ground-based and Satellite-based Irradiance Data for Photovoltaic Yield Estimation",

abstract = "High accuracy of yield prediction is of utmost importance for commercial scale photovoltaic systems. One key parameter crucial to the prediction accuracy is the choice and availability of reliable solar radiation data. In this work we investigate the impact of two fundamentally different irradiance data sources on the calculation of the yearly yield and performance ratio for five locations in different climatic regions of Australia. We find an overestimation of the yield calculation of up to 9.3\% for satellite-based climate irradiance data compared against one-minute ground-based irradiance data. The yield overestimation shows a general correlation with the number of cloudy days. We propose a linear correction of the yield calculation which allows to improve the prediction accuracy based on more broadly available satellite-based irradiance data.",

keywords = "irradiance data, performance ratio, Photovoltaic module, yield",

author = "Marco Ernst and Andrew Thomson and Ingrid Haedrich and Andrew Blakers",

note = "Publisher Copyright: {\textcopyright} 2016 The Authors.; 6th International Conference on Crystalline Silicon Photovoltaics, SiliconPV 2016 ; Conference date: 07-03-2016 Through 09-03-2016",

year = "2016",

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doi = "10.1016/j.egypro.2016.07.139",

language = "English",

volume = "92",

pages = "546--553",

journal = "Energy Procedia",

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TY - JOUR

T1 - Comparison of Ground-based and Satellite-based Irradiance Data for Photovoltaic Yield Estimation

AU - Ernst, Marco

AU - Thomson, Andrew

AU - Haedrich, Ingrid

AU - Blakers, Andrew

PY - 2016/8/1

Y1 - 2016/8/1

N2 - High accuracy of yield prediction is of utmost importance for commercial scale photovoltaic systems. One key parameter crucial to the prediction accuracy is the choice and availability of reliable solar radiation data. In this work we investigate the impact of two fundamentally different irradiance data sources on the calculation of the yearly yield and performance ratio for five locations in different climatic regions of Australia. We find an overestimation of the yield calculation of up to 9.3% for satellite-based climate irradiance data compared against one-minute ground-based irradiance data. The yield overestimation shows a general correlation with the number of cloudy days. We propose a linear correction of the yield calculation which allows to improve the prediction accuracy based on more broadly available satellite-based irradiance data.

AB - High accuracy of yield prediction is of utmost importance for commercial scale photovoltaic systems. One key parameter crucial to the prediction accuracy is the choice and availability of reliable solar radiation data. In this work we investigate the impact of two fundamentally different irradiance data sources on the calculation of the yearly yield and performance ratio for five locations in different climatic regions of Australia. We find an overestimation of the yield calculation of up to 9.3% for satellite-based climate irradiance data compared against one-minute ground-based irradiance data. The yield overestimation shows a general correlation with the number of cloudy days. We propose a linear correction of the yield calculation which allows to improve the prediction accuracy based on more broadly available satellite-based irradiance data.

KW - irradiance data

KW - performance ratio

KW - Photovoltaic module

KW - yield

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U2 - 10.1016/j.egypro.2016.07.139

DO - 10.1016/j.egypro.2016.07.139

M3 - Conference article

AN - SCOPUS:85014467800

SN - 1876-6102

VL - 92

SP - 546

EP - 553

JO - Energy Procedia

JF - Energy Procedia

T2 - 6th International Conference on Crystalline Silicon Photovoltaics, SiliconPV 2016

Y2 - 7 March 2016 through 9 March 2016

ER -

Comparison of Ground-based and Satellite-based Irradiance Data for Photovoltaic Yield Estimation

Abstract

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