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 and Hyo Seon Park

Energy, 2014, vol. 65, issue C, 190-199

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.

Keywords: Rooftop photovoltaic system; Geographical information system; Optimization; Sensitivity analysis; Electricity generation (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (45)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544213010529
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:65:y:2014:i:c:p:190-199

DOI: 10.1016/j.energy.2013.11.082

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().