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Optimization design of nuclear-renewable integrated energy system in industrial parks considering carbon-emissions trading and green-certificate trading

Author

Listed:
  • Ren, Xiaoxiao
  • Wang, Jinshi
  • Jiang, Chao
  • Liang, Tiebo
  • Yang, Sifan

Abstract

Industrial parks face serious challenges such as unstable energy supplies and high carbon emissions. To address these issues, a grid-connected nuclear-renewable integrated energy system (NR-IES) integrating nuclear, renewable energy, energy storage, and hydrogen energy is proposed. A life-cycle multi-objective optimization model is developed to maximize the economic, environmental, and energy efficiency. Two hybrid strategies based on following electric load (FEL) and following thermal load (FTL) are proposed to satisfy multi-energy demand. Besides, the model incorporates carbon-emissions trading and green-certificate trading and is solved by an improved multi-objective grasshopper optimization algorithm. On this basis, eight system schemes are established to analyze the effects of operation strategies, reactor operation modes, green-certificate trading, carbon-trading, and grid peak-shaving on system design. Results show that adopting the FEL-based strategy reduces carbon emissions by 67.64 % and increases energy efficiency by 2.5 %. Load-following mode reduces carbon emissions by 7.68 % with only a 0.92 % increase in costs. NR-IES participating in peak-shaving reduces power purchases by 0.97 %. Moreover, carbon trading and green-certificate trading improve economic and environmental performance. Sensitivity analyses indicate that fluctuations in green-certificate prices, carbon trading prices, reactor minimum load factor, loads and renewable energy affect the system's overall performance.

Suggested Citation

  • Ren, Xiaoxiao & Wang, Jinshi & Jiang, Chao & Liang, Tiebo & Yang, Sifan, 2025. "Optimization design of nuclear-renewable integrated energy system in industrial parks considering carbon-emissions trading and green-certificate trading," Energy, Elsevier, vol. 337(C).
    • Handle: RePEc:eee:energy:v:337:y:2025:i:c:s0360544225043361
    DOI: 10.1016/j.energy.2025.138694
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