A mixed‐integer linear programming model for methanol production from steelmaking byproduct gases is presented, considering dynamic constraints of process units. Renewable energy is used to produce hydrogen for the process via electrolysis. A case study incorporates dynamic market prices and the CO2 footprint of the electric power consumption, revealing a CO2 saving potential of 18.5 % for the scenarios and configurations studied. The results indicate that upgrading the model to a design optimization in the future will increase savings.

Methanol production is one promising way to minimize the ecological impact of the conventional steelmaking process. This synthesis needs additional hydrogen, preferably produced from a green power source. In this paper, the influence of different power supply scenarios, gas storage volumes, and hydrogen production capacities on the overall carbon saving potential – defined as carbon binding ratio – from a flexible methanol production case will be investigated. A mixed‐integer linear programming model with rolling horizon is used to calculate the optimal production plan.