Improvement of a methanol electrolysis cell performance through Response Surface Methodology

Resumen

The global energy sector is increasingly reliant on renewable energies, but the distance of renewable energy sources from energy consumption centres requires effective energy transmission. The stochastic and intermittent nature of sources like wind and solar underscores the need for adaptable energy storage and transport solutions. Converting renewable electrical energy into green hydrogen addresses these challenges, offering an environmentally friendly approach. However, the low energy density of hydrogen requires specialized transportation methods, adding complexity and cost. In contrast, methanol is a green hydrogen-derived fuel that is liquid at ambient conditions and therefore easier to manage than compressed and liquid hydrogen. Hydrogen logistics under the form of methanol entails three different stages: packing (methanol synthesis from hydrogen), transport, and unpacking (hydrogen production from methanol). This study explores the use of methanol electrolysis cells (MECs) as devices for the unpacking stage, focusing on their working conditions. To optimize MEC performance, Response Surface Methodology is employed to systematically vary parameters (methanol flow rate, concentration, and MEC temperature) and to study the influence of their combination on the performance of the MEC. The research aims to identify optimal conditions yielding the lowest electricity consumption for hydrogen production from methanol, contributing valuable insights to enhance the efficiency of methanol electrolysis in advancing renewable energy integration strategies.