DocumentCode :
269704
Title :
Decision support system for ranking photovoltaic technologies
Author :
Azzopardi, Brian ; Martínez-Ceseña, Eduardo A. ; Mutale, Joseph
Author_Institution :
Electr. Power Syst. Dept., Kaunas Univ. of Technol., Kaunas, Lithuania
Volume :
7
Issue :
6
fYear :
2013
fDate :
Nov. 2013
Firstpage :
669
Lastpage :
679
Abstract :
The primary photovoltaic (PV) system investment decision-making criteria are economics. These criteria are focused on system efficiency and cost, which is reasonable in the context of generous financial support schemes. However, when financial support is phased out, the PV market becomes technologically diversified. Environmental concerns and other qualitative issues become significant, whereas efficiency and costs may fail to describe PV systems properly. This study presents the first application of outranking techniques for PV technologies within an overall framework that includes qualitative, economic, technical and environmental criteria. The multi-criteria analysis method, ELECTRE III, identifies optimal investment decisions from a pre-determined set of investment alternatives. A case study based on a grid-connected household PV system in the United Kingdom illustrates the methodology. The results suggest emerging excitronic PV technologies such as organic PV to lead the ranking when compared with inorganic technologies. These results have to be taken in the context of a number of assumptions and estimates as well as free market, no financial support schemes and promising future technology developments. The overall decision-making framework provides comprehensive mathematical evaluations that assist PV owners, policy makers and the business community decide on technology, financial support schemes or business strategies.
Keywords :
costing; decision making; decision support systems; environmental factors; investment; mathematical analysis; photovoltaic power systems; power generation economics; power grids; power markets; ELECTRE III; PV market; United Kingdom; business strategy; decision support system; environmental concern; financial support scheme; grid-connected household PV system; investment decision-making criteria; mathematical evaluation; multicriteria analysis method; optimal investment decision; power generation economics; primary photovoltaic system; ranking photovoltaic technology;
fLanguage :
English
Journal_Title :
Renewable Power Generation, IET
Publisher :
iet
ISSN :
1752-1416
Type :
jour
DOI :
10.1049/iet-rpg.2012.0174
Filename :
6648804
Link To Document :
بازگشت