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 language | English |
|---|---|
| Pages (from-to) | 190-199 |
| Number of pages | 10 |
| Journal | Energy |
| Volume | 65 |
| DOIs | |
| Publication status | Published - 2014 Feb 1 |
Bibliographical note
Funding Information:This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP; Ministry of Science, ICT & Future Planning) (No. NRF-2012R1A2A1A01004376 & No. 2011-0018360).
All Science Journal Classification (ASJC) codes
- Civil and Structural Engineering
- Modelling and Simulation
- Renewable Energy, Sustainability and the Environment
- Building and Construction
- Fuel Technology
- Energy Engineering and Power Technology
- Pollution
- Mechanical Engineering
- Energy(all)
- Management, Monitoring, Policy and Law
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering
