Multi-objective optimization of a hydrogen supply chain for vehicle use including economic and financial risk metrics. A case study of Spain

摘要

In this paper we present a decision-support tool to address the strategic planning ofrnhydrogen supply chains for vehicle use under uncertainty in the operating costs of thernnetwork. Given a superstructure of alternatives that embeds a set of availablerntechnologies to produce, store and deliver hydrogen, the objective of our study is torndetermine the optimal design of the production-distribution network capable ofrnfulfilling a predefined hydrogen demand. The design task is formulated as a multiscenariornmixed-integer linear programming problem (MILP) that decides on thernproduction rates and expansions on capacity over time. The main novelty of thernapproach presented is that it allows controlling the variability of the economicrnperformance of the hydrogen network at the design step in the space of uncertainrnparameters. This is accomplished by using a risk metric that is appended to the objectivernfunction as an additional criterion to be optimized. An efficient decomposition methodrnis also presented in order to expedite the solution of the underlying mathematical modelrnby exploiting its specific structure. The capabilities of the proposed modelingrnframework and solution strategy are illustrated through its application to a real casernstudy based on Spain, for which valuable insights are obtained.