Industrial processes and energy storage: modelling and optimizing risk priority number and recovery time objective

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 AHPShapley 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 RT O opt reducing the response time for every negative event considered. This paper shows that the modelconsidered in the production of sustainable methanol has greatly strengthened system safety, reliability, and recovery times, lowering RPN and RTO values. The implementation of the Framework Enhanced Network Integrity eXcellence (F.E.N.I.X.) model in the generalized case of a business specialized in the production of renewable methanol provides a clear analysis of the strategic role of e-methanol as an energy carrier for energy storage.