OPTIMISATION OF HYDROGEN SYSTEM TO PRODUCE HIGH-TEMPERATURE HEAT IN THE GLASS INDUSTRY

In the context of the decarbonisation of the high-temperature industry, the H2GLASS project focuses on the production of hydrogen in order to substitute the natural gas: hydrogen will be the only fuel for the furnace combustion into a glass and aluminum industry. The hydrogen microgrid presented in the thesis is composed by a Polymer Electrolyte Membrane (PEM) as electrolyser, the compressor and the tank as the storage unit and an additional bottle tank will provide an extra supply of hydrogen. The power supply of the electrolyser comes from electrical grid and photovoltaic (PV) generation, with data relative to the Catalunia region. The electrolyser is connected to an hydrogen circuit, where the hydrogen can be directly burnt at the burner or can be stored by means of the storage system. The power load oscillates between 20 and 80 MW. A storage bottle tank is connected to the grid to supply the storage system. The object of these thesis is to optimise the operational phase of the system, addressing aspects such as industrial load, economic and operational condition, as well as electricity market participation; in addition, physical and dynamic system constraints must be met. These system constraints and dynamics have been modeled using mixed-integer linear programming (MILP) model in Python's Pyomo library, and the Gurobi solver has been used. The purpuse is to provide different scenarios, by merging high efficiency of component, power load satisfaction, storage capacity and components and electricity costs.