The urgency of reducing greenhouse gas (GHG) emissions is becoming one of the most pressing issues of recent decades. The global attention on this problem leads to think about possible substitutes for fossil fuels in all sectors: from industrial to mobility. It is in this panorama of continuous innovation that hydrogen is gaining more and more importance. However, one of the biggest obstacles to its implementation is the lack of infrastructure. The objective of this Master Thesis is therefore to develop a model able to analyze the hydrogen supply chain and apply this model to a case study for Italy. The problem will be formulated as multi-period, mono-objective Mixed Integer Linear Programming (MILP), implemented in the General Algebraic Modelling System (GAMS) environment using CPLEX as a solver.