Collaborative energy optimization improves economic performance and reduces carbon emissions in industrial clusters, suggesting a pathway for green development.
Key Points
The study aims to optimize integrated energy systems in industrial clusters through collaborative trading models for carbon and green certificates.
Developed a mathematical model for multi-energy coupling.
Implemented a bi-level optimization architecture for energy scheduling.
Established a market-driven pricing mechanism that incorporates carbon and green certificate trading.
Adjusted demand-side responses and power dispatch using real-time price signals.
Collaborative trading increases operator revenues by 81.57% and reduces user costs by 6.44%.
Green certificate trading decreases operator profits by 9.56% but lowers user costs by 8.12%.
Independent carbon trading raises operator revenues by 48.22% yet cuts user costs by only 0.94%.
Coordinated trading reduces carbon emissions by 65.94%, outperforming single markets' reductions.