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 CO
2
and H
2
inventory policy, optimum methanol inventory allocation by transporters. Power-To-Methanol is a potential technology to lower CO
2
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.