Inter-seasonal and multi-objective optimization of a sustainable hydrogen supply chain in Corsica integrating water availability constraints

TL;DR

This paper presents a multi-objective MILP model to optimize a sustainable hydrogen supply chain in Corsica, considering water constraints, renewable energy, and tourism, aiming to reduce costs and emissions.

Contribution

It introduces a novel multi-criteria optimization framework incorporating island-specific water and geographic constraints for hydrogen supply chains.

Findings

Decentralized HSC structure reduces transport costs

Levelized cost of hydrogen estimated at 6.54 €/kg

GHG emissions range from 1.32 to 1.75 kgCO2e/kg H2

Abstract

This study investigates the potential of hydrogen as a sustainable energy carrier for mobility applications in island territories, which are traditionally dependent on fossil fuel imports. Green hydrogen is identified as a key component of the energy transition. A Mixed Integer Linear Programming (MILP) model with a multi-period, multi-objective framework is used to optimize the hydrogen supply chain based on system costs, greenhouse gas (GHG) emissions, and a risk index. The model incorporates critical island-specific factors such as water resource availability, renewable energy sources, tourism flow, and geographic constraints. A multi-criteria decision making tool based on a modified version of TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) aids the identification of optimal solutions. Results suggest a decentralized Hydrogen Supply Chains (HSC) structure with minimized transport. The levelized cost of hydrogen (LCOH) is estimated at 6.54 ___/kg, and GHG emissions range from 1.32 to 1.75 kgCO 2 e/kg H 2. This study highlights the impact of tourism on energy demand and the crucial role of water resources, offering a novel approach to optimizing island-specific HSC.