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

Ching Ter Chang*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

67 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)379-389
Number of pages11
JournalRenewable and Sustainable Energy Reviews
Volume41
DOIs
StatePublished - 01 2015
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2014 Elsevier Ltd.

Keywords

  • Goal programming
  • Multi-choice goal programming
  • Renewable energy

Fingerprint

Dive into the research topics of 'Multi-choice goal programming model for the optimal location of renewable energy facilities'. Together they form a unique fingerprint.

Cite this