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Title: Comparing capacity value estimation techniques for photovoltaic solar power

Abstract

In this paper, we estimate the capacity value of photovoltaic (PV) solar plants in the western U.S. Our results show that PV plants have capacity values that range between 52% and 93%, depending on location and sun-tracking capability. We further compare more robust but data- and computationally-intense reliability-based estimation techniques with simpler approximation methods. We show that if implemented properly, these techniques provide accurate approximations of reliability-based methods. Overall, methods that are based on the weighted capacity factor of the plant provide the most accurate estimate. As a result, we also examine the sensitivity of PV capacity value to the inclusion of sun-tracking systems.

Authors:
 [1];  [1];  [2]
  1. The Ohio State Univ., Columbus, OH (United States)
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1354830
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
IEEE Journal of Photovoltaics
Additional Journal Information:
Journal Volume: 3; Journal Issue: 1; Journal ID: ISSN 2156-3381
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY; approximation techniques; capacity value; photovoltaic (PV) solar; reliability theory

Citation Formats

Madaeni, Seyed Hossein, Sioshansi, Ramteen, and Denholm, Paul. Comparing capacity value estimation techniques for photovoltaic solar power. United States: N. p., 2012. Web. doi:10.1109/JPHOTOV.2012.2217114.
Madaeni, Seyed Hossein, Sioshansi, Ramteen, & Denholm, Paul. Comparing capacity value estimation techniques for photovoltaic solar power. United States. doi:10.1109/JPHOTOV.2012.2217114.
Madaeni, Seyed Hossein, Sioshansi, Ramteen, and Denholm, Paul. Fri . "Comparing capacity value estimation techniques for photovoltaic solar power". United States. doi:10.1109/JPHOTOV.2012.2217114. https://www.osti.gov/servlets/purl/1354830.
@article{osti_1354830,
title = {Comparing capacity value estimation techniques for photovoltaic solar power},
author = {Madaeni, Seyed Hossein and Sioshansi, Ramteen and Denholm, Paul},
abstractNote = {In this paper, we estimate the capacity value of photovoltaic (PV) solar plants in the western U.S. Our results show that PV plants have capacity values that range between 52% and 93%, depending on location and sun-tracking capability. We further compare more robust but data- and computationally-intense reliability-based estimation techniques with simpler approximation methods. We show that if implemented properly, these techniques provide accurate approximations of reliability-based methods. Overall, methods that are based on the weighted capacity factor of the plant provide the most accurate estimate. As a result, we also examine the sensitivity of PV capacity value to the inclusion of sun-tracking systems.},
doi = {10.1109/JPHOTOV.2012.2217114},
journal = {IEEE Journal of Photovoltaics},
number = 1,
volume = 3,
place = {United States},
year = {2012},
month = {9}
}

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Cited by: 19 works
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