Optimal Management of Energy Storage Systems in Hospitals with Quantum Spherical Fuzzy Decision-Making Modelling

Abstract

This study aims to identify prioritized strategies to increase the effectiveness of energy storage investments in hospitals. High energy consumption in hospitals increases the importance of energy storage investments. For this purpose, 5 literature-based criteria affecting hospital energy storage investments are identified. These criteria are weighted by the quantum spherical fuzzy DEMATEL method. On the other side, 4 different renewable energy alternatives are identified. The performance of these alternatives is ranked with the quantum spherical fuzzy TOPSIS approach. It is determined that storage capacity is the most critical factor in increasing the effectiveness of the energy storage systems in the hospital. Similarly, technological infrastructure is another key issue for the development of this process. However, it is also seen that security issues, legal effectiveness, and financial situations have lower weights. In addition, the ranking results demonstrate that wind energy is the most appropriate renewable energy type for the energy storage performance of hospitals. Geothermal energy can also be considered for this situation. On the other hand, solar and hydropower energy types perform at lower levels in this framework.