Developing a novel fuzzy neutrosophic numbers based decision making analysis for prioritizing the energy storage technologies

The energy storage plays a fundamental role for sustainable energy systems and potential future economy. The aim of this study is to evaluate and prioritize the energy storage technology alternatives (methods) considering technical, cost, and environmental and social criteria. We propose a hybrid trapezoidal neutrosophic fuzzy numbers based Dombi weighted geometric averaging operator and MultiAtributive Ideal-Real Comparative Analysis (MAIRCA) model. A case study in Romania is carried out to demonstrate the applicability of the proposed model. It is also compared with some existing methods to verify the superiority of the proposed model. Six technical storage methods are examined as follows: A(1): Hydro-pumping (HP), A(2): Hydrogen Underground Storage (HU), A(3): Hydrogen on ground multiple storage solution (HM), A(4): Hybrid 1 (HP + HU), A(5): Hybrid 2 (HP + HM), and A(6): Hybrid 3 (HU + HM). The results show that the alternative Ag: hydro-pumping and hydrogen underground storage method is the best among all alternatives. (C) 2020 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.