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

被引：95

作者：

Hong, Taehoon ^{[1
]}

Koo, Choongwan ^{[1
]}

Park, Joonho ^{[1
]}

Park, Hyo Seon ^{[1
]}

机构：

[1] Yonsei Univ, Dept Architectural Engn, Seoul 120749, South Korea

来源：

ENERGY | 2014年 / 65卷

基金：

新加坡国家研究基金会;

关键词：

Rooftop photovoltaic system; Geographical information system; Optimization; Sensitivity analysis; Electricity generation; OPTIMUM TILT ANGLE; SOLAR COLLECTORS; CLIMATE-CHANGE; PERFORMANCE; ORIENTATION; PANELS; SLOPE; FOCUS;

D O I：

10.1016/j.energy.2013.11.082

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

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. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：190 / 199

页数：10

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