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Journal of cleaner production, 2020-12, Vol.277, p.122183, Article 122183
2020
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Autor(en) / Beteiligte
Titel
A multi criteria decision support framework for renewable energy storage technology selection
Ist Teil von
  • Journal of cleaner production, 2020-12, Vol.277, p.122183, Article 122183
Ort / Verlag
Elsevier Ltd
Erscheinungsjahr
2020
Quelle
Elsevier ScienceDirect Journals
Beschreibungen/Notizen
  • 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.
Sprache
Englisch
Identifikatoren
ISSN: 0959-6526
eISSN: 1879-1786
DOI: 10.1016/j.jclepro.2020.122183
Titel-ID: cdi_crossref_primary_10_1016_j_jclepro_2020_122183

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