Decentralized operations planning of decarbonized chemical plants with renewable-driven transmission systems

As electrification of industrial process heating becomes common, it is increasingly important to integrate clean energy from power systems into chemical plant processes. However, integrating private chemical plant operations with the public power grid raises privacy concerns. Decentralizing large-scale unit commitment in power systems and electrified chemical process heating in a mixed-integer problem can maintain this privacy, encouraging stakeholders to adopt renewable energy use, thereby aiding decarbonization efforts. In this paper, we present decentralized optimization techniques that implement Alternating Direction Method of multipliers to reach a consensus. We demonstrate that by limiting the amount shared information through decentralization, it is possible to satisfy the demand needs of the chemical plant while maintaining the privacy of its operations. This approach eliminates the need to move data while considering operational constraints of the power system and chemical plant, while procuring expected results and retaining the privacy of operations.