Optimal battery sizing for storm-resilient photovoltaic power island systems

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Photovoltaic systems with battery storage are analyzed from the perspective that they can operate as a local power island in circumstances of storm-damage or other grid outage. The specific focus is to determine the optimal battery size for a given solar array size, taking into account reasonable day-to-day and seasonal sunlight variations as well as efficiency losses when converting from DC to AC for connection to the grid, or for provision of power during island mode. Three locations in the United States are used as case studies (Newark NJ, Boulder CO, and Tucson AZ). These provide a wide range of sunlight characteristics and illustrate variability factors that will be similar to many locations in continental North America. The analysis of the probability distributions for sunlight brightness then allow for the establishment of a 95% confidence rating for the steady-state power output from a specific combined battery and solar array configuration when faced with a grid interruption. This rating system can be used as a guide for designing systems for future installation.

Original languageEnglish
Pages (from-to)165-173
Number of pages9
JournalSolar Energy
Volume109
Issue number1
DOIs
Publication statusPublished - Aug 8 2014

Fingerprint

Carbon Monoxide
Outages
Probability distributions
Luminance

Keywords

  • Solar array resiliency
  • Solar power storage
  • System design optimization

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Materials Science(all)

Cite this

Optimal battery sizing for storm-resilient photovoltaic power island systems. / Birnie, Dunbar P.

In: Solar Energy, Vol. 109, No. 1, 08.08.2014, p. 165-173.

Research output: Contribution to journalArticle

@article{052ea9912d7b441f8ddd6776caeb9b72,
title = "Optimal battery sizing for storm-resilient photovoltaic power island systems",
abstract = "Photovoltaic systems with battery storage are analyzed from the perspective that they can operate as a local power island in circumstances of storm-damage or other grid outage. The specific focus is to determine the optimal battery size for a given solar array size, taking into account reasonable day-to-day and seasonal sunlight variations as well as efficiency losses when converting from DC to AC for connection to the grid, or for provision of power during island mode. Three locations in the United States are used as case studies (Newark NJ, Boulder CO, and Tucson AZ). These provide a wide range of sunlight characteristics and illustrate variability factors that will be similar to many locations in continental North America. The analysis of the probability distributions for sunlight brightness then allow for the establishment of a 95{\%} confidence rating for the steady-state power output from a specific combined battery and solar array configuration when faced with a grid interruption. This rating system can be used as a guide for designing systems for future installation.",
keywords = "Solar array resiliency, Solar power storage, System design optimization",
author = "Birnie, {Dunbar P}",
year = "2014",
month = "8",
day = "8",
doi = "10.1016/j.solener.2014.08.016",
language = "English",
volume = "109",
pages = "165--173",
journal = "Solar Energy",
issn = "0038-092X",
publisher = "Elsevier Limited",
number = "1",

}

TY - JOUR

T1 - Optimal battery sizing for storm-resilient photovoltaic power island systems

AU - Birnie, Dunbar P

PY - 2014/8/8

Y1 - 2014/8/8

N2 - Photovoltaic systems with battery storage are analyzed from the perspective that they can operate as a local power island in circumstances of storm-damage or other grid outage. The specific focus is to determine the optimal battery size for a given solar array size, taking into account reasonable day-to-day and seasonal sunlight variations as well as efficiency losses when converting from DC to AC for connection to the grid, or for provision of power during island mode. Three locations in the United States are used as case studies (Newark NJ, Boulder CO, and Tucson AZ). These provide a wide range of sunlight characteristics and illustrate variability factors that will be similar to many locations in continental North America. The analysis of the probability distributions for sunlight brightness then allow for the establishment of a 95% confidence rating for the steady-state power output from a specific combined battery and solar array configuration when faced with a grid interruption. This rating system can be used as a guide for designing systems for future installation.

AB - Photovoltaic systems with battery storage are analyzed from the perspective that they can operate as a local power island in circumstances of storm-damage or other grid outage. The specific focus is to determine the optimal battery size for a given solar array size, taking into account reasonable day-to-day and seasonal sunlight variations as well as efficiency losses when converting from DC to AC for connection to the grid, or for provision of power during island mode. Three locations in the United States are used as case studies (Newark NJ, Boulder CO, and Tucson AZ). These provide a wide range of sunlight characteristics and illustrate variability factors that will be similar to many locations in continental North America. The analysis of the probability distributions for sunlight brightness then allow for the establishment of a 95% confidence rating for the steady-state power output from a specific combined battery and solar array configuration when faced with a grid interruption. This rating system can be used as a guide for designing systems for future installation.

KW - Solar array resiliency

KW - Solar power storage

KW - System design optimization

UR - http://www.scopus.com/inward/record.url?scp=84908148988&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84908148988&partnerID=8YFLogxK

U2 - 10.1016/j.solener.2014.08.016

DO - 10.1016/j.solener.2014.08.016

M3 - Article

VL - 109

SP - 165

EP - 173

JO - Solar Energy

JF - Solar Energy

SN - 0038-092X

IS - 1

ER -