A sophisticated decision paradigm for the assessment of hydrogen storage technologies for mobility applications

Abstract

In the pursuit of sustainable transportation, hydrogen emerges as a promising zero-emission alternative, offering greater efficiency compared to conventional fuels. However, achieving widespread adoption of hydrogen transportation necessitates a focus on developing efficient onboard storage systems. Therefore, the evaluation of various storage methods becomes pivotal in determining a viable solution for vehicle use, constituting a multi-attribute decision-making challenge. This study aims to create a structured decision-making model employing bipolar linear diophantine fuzzy logic, specifically applied to assess hydrogen storage technologies. Bipolar linear diophantine fuzzy sets are introduced to address the inherent uncertainty in decision-making. The framework evaluates the feasibility of four storage systems across ten sustainability criteria. An enhanced LOPCOW-OPA model based on bipolar linear diophantine fuzzy logic is proposed to assess the significance of criteria, while the bipolar linear diophantine fuzzy-based MACONT-MARCOS-ELECTRE-III approach ranks storage technologies. The findings indicate compressed hydrogen storage as an optimal onboard solution for mobile applications. Sensitivity analysis is conducted to gauge how attribute weights and other variables influence the decision-making process. Furthermore, validation of the results obtained through the proposed method is performed via comparative analysis. Moreover, the results obtained can offer valuable insights for the development of hydrogen storage solutions aimed at sustainable and efficient transportation.