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Energy-carbon pricing-guided collaborative optimization for local integrated energy communities with multi-vector electrification consumers

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  • Xi, Yufei
  • Zuo, Lujie
  • Chen, Meng
  • Zhang, Jiansheng
  • Cheng, Lin
  • Lestas, Ioannis

Abstract

The integration of multi-energy services and CO2 reduction measures is crucial for advancing the transition to low-carbon energy. This study proposes a novel Integrated Energy Community (IEC) framework that synergizes Electric Vehicles (EVs), Power-to-Chemical (P2C), and Power-to-Heat (P2H) electrification consumers to optimize renewable energy utilization and carbon management. The framework incorporates Electrochemical CO2 Reduction (ECO2R) and Carbon Capture and Storage (CCS) technologies, enabling carbon trading and chemical product commercialization. Meanwhile, an energy-carbon pricing-guided collaborative optimization model is developed, utilizing Nash bargaining game theory to coordinate electricity, gas, and heat operations under limited communication. Case studies validate the model’s effectiveness, with numerical results demonstrating its superior performance in operational efficiency, renewable energy utilization, and carbon reduction compared to conventional community systems.

Suggested Citation

  • Xi, Yufei & Zuo, Lujie & Chen, Meng & Zhang, Jiansheng & Cheng, Lin & Lestas, Ioannis, 2025. "Energy-carbon pricing-guided collaborative optimization for local integrated energy communities with multi-vector electrification consumers," Applied Energy, Elsevier, vol. 392(C).
    • Handle: RePEc:eee:appene:v:392:y:2025:i:c:s0306261925006762
    DOI: 10.1016/j.apenergy.2025.125946
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