Multi-choice goal programming model for the optimal location of renewable energy facilities

Ching Ter Chang*

*此作品的通信作者

研究成果: 期刊稿件文獻綜述同行評審

69 引文 斯高帕斯(Scopus)

摘要

This paper proposes a multi-choice goal programming model for dealing with the capacity expansion planning problem of the renewable energy industry. This model involves decisions regarding the optimal mix of different plant types, location selection and other criteria. Different types of plants should be located in appropriate places so as to minimize the total deviations from predefined goals concerning power generated, investment cost, emission avoided, jobs created, operation and maintenance costs, distance security, and social acceptance. The proposed method is superior to the goal programming model proposed by Ramón and Cristóbal, in that it can avoid underestimation of aspiration level, expand the potential feasible region, and achieve findings more closely approach actual conditions. In addition, the social acceptance of the renewable energy planning problem in Taiwan is modeled by the MCGP to demonstrate its usefulness.

原文英語
頁(從 - 到)379-389
頁數11
期刊Renewable and Sustainable Energy Reviews
41
DOIs
出版狀態已出版 - 01 2015
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文獻附註

Publisher Copyright:
© 2014 Elsevier Ltd.

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