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 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. (C) 2020 Elsevier Ltd. All rights reserved.