Modelling the Transformation of Hydrogen Ecosystems via Geo-Techno-Economic Optimization

A newly developed framework for spatially resolved optimization of hydrogen systems is presented. It enables realistic representation of the whole value chain with different electricity sources and transport technologies that are optimized for every location and connection. The nonlinear structure enables realistic physical properties and economies of scale but increases the difficulties in parametrization of the system and optimization algorithm. Three scenarios have been modelled to analyze the influence of electricity and hydrogen import options. Using grid electricity to increase electrolyzer full load hours and reduce storage requirements enables significant economic advantageous. Furthermore, for the selected study region, hydrogen transport is cheaper than electricity transmission as trailers can be shared within the region and pipelines installed to supply large demands. Therefore, electrolyzers are primarily installed at site of high potential for renewable electricity generation.