A multi criteria decision support framework for renewable energy storage technology selection

The selection of renewable energy storage technology has important significance for maintaining the supply and demand balance of renewable energy, reducing the application cost of new energy and accelerating the pace of the new energy revolution. Different from the existing research which regards th...

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Bibliographic Details
Published inJournal of cleaner production Vol. 277; p. 122183
Main Authors Liu, Yong, Du, Jun-liang
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 20.12.2020
Subjects
Decision support framework
Group decision-making
Renewable energy storage technology
Technology selection
Technology selection
Decision support framework
Group decision-making
Renewable energy storage technology
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Summary:The selection of renewable energy storage technology has important significance for maintaining the supply and demand balance of renewable energy, reducing the application cost of new energy and accelerating the pace of the new energy revolution. Different from the existing research which regards the selection of energy storage technology as a multi-criteria decision-making problem, it is called as a multi-criteria group decision-making problem in this study. This paper defines the dual hesitant Pythagorean fuzzy linguistic term sets and proposes a multi criteria decision support framework for renewable energy storage technology selection from the perspective of group decision-making. Then, the empirical example considers the case of energy storage technology selection in Jiangsu Province, China. The proposed method is exploited to analyze the robustness of the results and its comparison to other methods. The case study shoes that it can help the managers scientifically choose more suitable renewable energy storage technology alternatives. [Display omitted] •Dual hesitant Pythagorean fuzzy linguistic term sets are defined and applied for information expression.•The group decision consensus approach for dual hesitant Pythagorean fuzzy linguistic term sets is proposed.•Renewable energy storage technologies are assessed.•Technical, economic, environmental and social criteria are considered.•A multi-component composite energy storage system is recommended to users.
ISSN:0959-6526
1879-1786
DOI:10.1016/j.jclepro.2020.122183