Energy-carbon scheduling optimization of battery factory back-end process based on time-of-use characteristics of power grid

Under the dual-carbon policy, industry, as one of the main fields of energy consumption and carbon dioxide emissions, bears the important responsibility of energy conservation and carbon reduction. Taking the fabrication of lithium-ion batteries, which play a significant role in energy storage and electrical vehicle industry, as an example, this paper is aimed at creating an optimal production schedule model to minimize energy costs and reduce carbon footprint emissions. The proposed model is based on the battery energy storage and feedback of the back-end manufacturing process, as well as the time-of-use characteristics of the grid, which including the electricity price and carbon footprint. Simulation result of the electricity cost and carbon emission of a batch of batteries produced in a day for the lithium battery plant’s back-end formation and capacity process is analyzed, which shows the effectiveness of the model when compared to conventional manufacturing approaches.