Industrial processes and energy storage: modelling and optimizing risk priority number and recovery time objective
摘要
E-methanol is a sustainable and innovative energy carrier and is one of the most highly quoted solutions for facing global challenges to energy transition and to reduction of greenhouse gas emissions. Derived from a combination of carbon dioxide and green hydrogen, e-methanol promotes a circular economy that transforms waste into resources while supporting decarbonization of the energy system. Given its chemical properties, it manages to integrate smoothly into existing infrastructures dedicated to fossil fuels as it is storable and transportable. This paper supplies a clear picture of the strategic role of e-methanol as energy carrier by studying a quantitative model that combines the use of a fuzzy Failure Mode and Effects Analysis (FMEA), the AHP-Shapley model, the Choquet integral and calculation of the Recovery Time Objective (RTO). By applying the fuzzy FMEA, AHP-Shapley and Choquet, there is a reduction in the subjectivity of assigning weights, and the most appropriate mitigating actions of risks linked to the system are selected by calculating the optimal Risk Priority Number (RPN). Thus, the model introduced allows us to calculate the