Process-level energy-production co-scheduling method for zero-carbon factory

Abstract

This invention provides a process-level energy and production collaborative scheduling method for zero-carbon factories, relating to the fields of intelligent manufacturing and energy management collaboration. The method acquires real-time data from multiple sources in the factory, including process-level energy consumption, production status, renewable energy, carbon intensity, and electricity price data; based on this, it constructs digital twins and process-level energy consumption and carbon emission models; then, it performs rolling optimization with the goal of minimizing total cost or total carbon emissions, generating a collaborative scheduling scheme containing production plans and energy control instructions; finally, the scheme is converted into instructions, issued to the execution system, and monitored and fed back in real time, forming a closed-loop optimization. This invention achieves collaborative optimization scheduling of the production and energy systems at the process level, which is beneficial for factories to carry out refined carbon emission reduction and control overall operating costs.

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