A GIS (geographic information system)-based optimization model for estimating the electricity generation of the rooftop PV (photovoltaic) system

Taehoon Hong, Choongwan Koo, Joonho Park, Hyo Seon Park

Research output: Contribution to journalArticle

65 Citations (Scopus)

Abstract

The global PV (photovoltaic) generation market has been rapidly growing. In the introduction of a PV system, the electricity generation efficiency of the PV system depends on regional factors and on-site installation factors. It has a significant effect on the returns on investment. Therefore, this study conducted a sensitivity analysis on how the impact factors of the rooftop PV system affect its electricity generation. Based on the results of the sensitivity analysis, this study aimed to ultimately develop a GIS-based optimization model for estimating the electricity generation of the rooftop PV system.Several impact factors were used in the sensitivity analysis. The result of this study showed that there were 1.12-, 1.62-, and 1.37-fold differences in the annual electricity generation of the rooftop PV system in South Korea due to the regional factor, the azimuth of the installed panel, and the slope of the installed panel, respectively. Using a GIS-based optimization model, final decision-maker could easily and accurately estimate the electricity generation of the rooftop PV system in a preliminary feasibility study.

Original languageEnglish
Pages (from-to)190-199
Number of pages10
JournalEnergy
Volume65
DOIs
Publication statusPublished - 2014 Feb 1

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Geographic information systems
Electricity
Sensitivity analysis

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction
  • Pollution
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Cite this

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title = "A GIS (geographic information system)-based optimization model for estimating the electricity generation of the rooftop PV (photovoltaic) system",
abstract = "The global PV (photovoltaic) generation market has been rapidly growing. In the introduction of a PV system, the electricity generation efficiency of the PV system depends on regional factors and on-site installation factors. It has a significant effect on the returns on investment. Therefore, this study conducted a sensitivity analysis on how the impact factors of the rooftop PV system affect its electricity generation. Based on the results of the sensitivity analysis, this study aimed to ultimately develop a GIS-based optimization model for estimating the electricity generation of the rooftop PV system.Several impact factors were used in the sensitivity analysis. The result of this study showed that there were 1.12-, 1.62-, and 1.37-fold differences in the annual electricity generation of the rooftop PV system in South Korea due to the regional factor, the azimuth of the installed panel, and the slope of the installed panel, respectively. Using a GIS-based optimization model, final decision-maker could easily and accurately estimate the electricity generation of the rooftop PV system in a preliminary feasibility study.",
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A GIS (geographic information system)-based optimization model for estimating the electricity generation of the rooftop PV (photovoltaic) system. / Hong, Taehoon; Koo, Choongwan; Park, Joonho; Park, Hyo Seon.

In: Energy, Vol. 65, 01.02.2014, p. 190-199.

Research output: Contribution to journalArticle

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AB - The global PV (photovoltaic) generation market has been rapidly growing. In the introduction of a PV system, the electricity generation efficiency of the PV system depends on regional factors and on-site installation factors. It has a significant effect on the returns on investment. Therefore, this study conducted a sensitivity analysis on how the impact factors of the rooftop PV system affect its electricity generation. Based on the results of the sensitivity analysis, this study aimed to ultimately develop a GIS-based optimization model for estimating the electricity generation of the rooftop PV system.Several impact factors were used in the sensitivity analysis. The result of this study showed that there were 1.12-, 1.62-, and 1.37-fold differences in the annual electricity generation of the rooftop PV system in South Korea due to the regional factor, the azimuth of the installed panel, and the slope of the installed panel, respectively. Using a GIS-based optimization model, final decision-maker could easily and accurately estimate the electricity generation of the rooftop PV system in a preliminary feasibility study.

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