Demand Response for a descentralized Power-To-Methanol-process

Due to the increasing share of renewable energies, the role of demand response and production planning is becoming more important. Green methanol production is one promising process to use surplus renewable electricity to produce methanol through flexible operation. In this work, an optimization model for the flexibilization of a novel power to methanol process that uses decentralized CO2 point sources is developed. Based on simulation data of a stationary power to methanol process, a MILP-model with buffer storages, an electrolyser and a power to methanol plant is constructed. The optimal operation is determined considering variable electricity costs, varying renewable electricity supply and various production constraints.