Production Planning and Scheduling of Power to Methanol Supply Chain

This work advocates for the incorporation of an agent-based simulation framework to strategically optimize Power-To-Methanol (PtM) plants and associated supply chain operations, thereby encapsulating CO2 suppliers, methanol distribution channels, and transportation entities for both CO 2 and methanol within its ambit. Key decision-making facets explored in this context encompass PtM plant process control, as well as supply and production planning, coupled with a comprehensive economic scrutiny of the PtM supply chain. The evaluation includes CO2 and methanol ordering policy, capital budgeting during the lifetime of the methanol supply chain, materials requirement planning for CO 2 and methanol. The primary outcomes enhancing the field of renewable energy include the utilization of a digital model for Power-to-Methanol (PtM) processes, which incorporates production planning and control procedures into both PtM plant and supply chain design. This digital model facilitates the evaluation of the economic feasibility of the PtM supply chain. The measurable results derived from the digital model, lead to reduced carbon emissions, increased internal rate of return, shorter payback periods, and decreased price sensitivity within the methanol supply chain.