Temperature control for a PEM electrolyser powered by a renewable source

Abstract

This article addresses developing and applying a model-based controller for a PEM (Proton Exchange Membrane) electrolyser. The primary objective is to optimise temperature control, aiming for greater efficiency in hydrogen production and extended system lifespan. These two benefits are compromised when the electrolyser is subject to high temperatures exceeding its nominal temperature. Such conditions can occur when the system is powered by renewable sources, which can operate at high current densities due to their variability and intermittency. The proposed controller employs an MPC (Model Predictive Control) combined with a disturbance model to promote decoupling in handling disturbances and introduce an additional degree of freedom to the control strategy. Simulation results demonstrate the robust performance of the controller in managing system nonlinearities, ensuring desired reference tracking for the process.