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A Novel Extension Decision-Making Method for Selecting Solar Power Systems
Author(s) -
Menghui Wang
Publication year - 2013
Publication title -
international journal of photoenergy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.426
H-Index - 51
eISSN - 1687-529X
pISSN - 1110-662X
DOI - 10.1155/2013/108981
Subject(s) - extension (predicate logic) , computer science , solar power , power (physics) , electric power system , photovoltaic system , task (project management) , reliability engineering , mathematical optimization , operations research , systems engineering , electrical engineering , engineering , mathematics , physics , quantum mechanics , programming language
Due to the complex parameters of a solar power system, the designer not only must think about the load demand but also needs to consider the price, weight, and annual power generating capacity (APGC) and maximum power of the solar system. It is an important task to find the optimal solar power system with many parameters. Therefore, this paper presents a novel decision-making method based on the extension theory; we call it extension decision-making method (EDMM). Using the EDMM can make it quick to select the optimal solar power system. The paper proposed this method not only to provide a useful estimated tool for the solar system engineers but also to supply the important reference with the installation of solar systems to the consumer

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