Comparison of Heuristics Towards Approaching a Scheduling and Capacity Planning MINLP for Hydrogen Storage in Chemical Substances

Abstract

The need for scheduling and capacity planning of electricity and energy storage technologies has risen in line with growing feed-in of intermittent wind and solar power. Hydrogen-based storage technologies usually feature non-linear as well as non-differentiable operating characteristics. This paper discusses different approaches towards integrating consumption figures derived from engineering simulations into scheduling and capacity planning problems. The comparison of best-fit functions to a heuristic-based approach of using comparably rapidly computable functions in addition with adjustment calculations shows, that reduction in complexity and calculation time leads to discrepancies at cost and furthermore at scheduling and capacity size level. Cost effects can be minimized by the heuristics, but different scheduling and capacity choice remains.