Multi-Method Simulation of E-Methanol Supply Chain

This paper studies a digitalization of e-methanol supply and production planning Power-To-Methanol pathways is simulated using a steady-state simulation of biogas-to-methanol conversion to feed information to an agent-based simulation model. The agent-based simulation model consists of autonomous agents of biogas, hydrogen, and methanol producers as well as distributors. The outputs of the simulation model are CO2 and H2 inventory policy, optimum methanol inventory allocation by transporters. Power-To-Methanol is a potential technology to lower CO2 emissions, with viable economic benefit, and less sensitive to biomass and electricity price fluctuations. This paper contributes to simulation modeling application by proposing a new way of combining multi-method simulation to solve real life supply chain planning.