Capacity factors of solar photovoltaic energy facilities in California, annual mean and variability

The capacity factors of the largest solar photovoltaic (PV) energy facilities of California are computed, based on a low-frequency monthly statistic that is covering the last few years. While the best-performing facilities achieve annual capacity factors of about 32-33%, the average annual capacity...

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Main Authors: Boretti Alberto, Castelletto Stefania, Al-Kouz Wael, Nayfeh Jamal
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/41/e3sconf_icsree2020_02004.pdf
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spelling doaj-74f22093ef324b7da25b0cf7d125c0622021-04-02T19:04:14ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011810200410.1051/e3sconf/202018102004e3sconf_icsree2020_02004Capacity factors of solar photovoltaic energy facilities in California, annual mean and variabilityBoretti Alberto0Castelletto Stefania1Al-Kouz Wael2Nayfeh Jamal3Mechanical Engineering Department, College of Engineering, Prince Mohammad Bin Fahd UniversitySchool of Engineering, Royal Melbourne Institute of Technology (RMIT) UniversityMechanical Engineering Department, College of Engineering, Prince Mohammad Bin Fahd UniversityMechanical Engineering Department, College of Engineering, Prince Mohammad Bin Fahd UniversityThe capacity factors of the largest solar photovoltaic (PV) energy facilities of California are computed, based on a low-frequency monthly statistic that is covering the last few years. While the best-performing facilities achieve annual capacity factors of about 32-33%, the average annual capacity factor is less than 30%, at about 26-27%. The scattered information on costs suggests a cost penalty of 35% for a capacity factor gain of 10%. Higher frequency data of 1-minute or less for every facility connected to the same grid and the grid average energy supply are needed to define the energy storage indispensable to cover a given demand. The individual facility energy production requires to account for a cost associated with an energy storage allowance to every producer of intermittent and unpredictable electricity, with this amount inversely proportional to the annual average capacity factor and directly proportional to the standard deviation of the high-frequency capacity factors.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/41/e3sconf_icsree2020_02004.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Boretti Alberto
Castelletto Stefania
Al-Kouz Wael
Nayfeh Jamal
spellingShingle Boretti Alberto
Castelletto Stefania
Al-Kouz Wael
Nayfeh Jamal
Capacity factors of solar photovoltaic energy facilities in California, annual mean and variability
E3S Web of Conferences
author_facet Boretti Alberto
Castelletto Stefania
Al-Kouz Wael
Nayfeh Jamal
author_sort Boretti Alberto
title Capacity factors of solar photovoltaic energy facilities in California, annual mean and variability
title_short Capacity factors of solar photovoltaic energy facilities in California, annual mean and variability
title_full Capacity factors of solar photovoltaic energy facilities in California, annual mean and variability
title_fullStr Capacity factors of solar photovoltaic energy facilities in California, annual mean and variability
title_full_unstemmed Capacity factors of solar photovoltaic energy facilities in California, annual mean and variability
title_sort capacity factors of solar photovoltaic energy facilities in california, annual mean and variability
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2020-01-01
description The capacity factors of the largest solar photovoltaic (PV) energy facilities of California are computed, based on a low-frequency monthly statistic that is covering the last few years. While the best-performing facilities achieve annual capacity factors of about 32-33%, the average annual capacity factor is less than 30%, at about 26-27%. The scattered information on costs suggests a cost penalty of 35% for a capacity factor gain of 10%. Higher frequency data of 1-minute or less for every facility connected to the same grid and the grid average energy supply are needed to define the energy storage indispensable to cover a given demand. The individual facility energy production requires to account for a cost associated with an energy storage allowance to every producer of intermittent and unpredictable electricity, with this amount inversely proportional to the annual average capacity factor and directly proportional to the standard deviation of the high-frequency capacity factors.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/41/e3sconf_icsree2020_02004.pdf
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