Synergistic Integration of Renewable Energy Generation with Integrated Energy Systems Reduces Carbon Emissions

Strategic Insights -

Investigators at National Chin Yi University of Technology have proposed an electric-hydrogen-coupled integrated energy system (EHC-IES) to reduce carbon emissions and improve energy efficiency. This synergistic integration of renewable energy generation with an integrated energy system can potentially reduce carbon emissions and improve energy efficiency. The research was financially supported by Tianjin Carbon Peak and Carbon Neutrality Technology Major Project, and Tianjin Natural Science Foundation Project.

Key Takeaways:

  • The proposed EHC-IES integrates renewable energy generation, electric-hydrogen conversion device, multi-energy storage, and intelligent sensing system to reduce carbon emissions.
  • The system uses a multi-dimensional sensing network to collect real-time data on wind and solar power generation, energy storage status, and load fluctuation.
  • The research established an optimization model considering the cost of superior-level energy dispatch and the cost of renewable energy disposal penalty.
  • The enhanced whale optimization algorithm was designed for dispatch optimization to minimize system operating cost.
  • Comparative analysis using multiple scenarios showed that the electric-hydrogen coupling mechanism can reduce the system operating cost by 25.8% compared with the conventional integrated energy system and 17.02% compared with power-to-gas IES (P2G-IES).
  • The proposed system can realize the adaptive synergistic matching of energy supply and demand sides, dynamically adjusting the energy supply strategy based on real-time data.

Statistics:

  • The EHC-IES can reduce carbon emissions and improve energy efficiency through synergistic integration of renewable energy generation with integrated energy systems.
  • The system operating cost can be reduced by 25.8% compared with the conventional integrated energy system and 17.02% compared with P2G-IES.
  • The multi-dimensional sensing network collects real-time data on wind and solar power generation, energy storage status, and load fluctuation.
  • The enhanced whale optimization algorithm is used for dispatch optimization.

Sources:

  • NewsRx. Researchers from National Chin Yi University of Technology Report Findings in Renewable Energy (Scheduling Optimization of Integrated Energy System Based On Electric-hydrogen Coupling Mechanism). Ecology, Environment & Conservation. August 15, 2025; p 442.
  • Scheduling Optimization of Integrated Energy System Based On Electric-hydrogen Coupling Mechanism. Sensors and Materials, 2025;37(7):2989-3003.