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Low-carbon optimal dispatch of integrated energy system considering the operation of oxy-fuel combustion coupled with power-to-gas and hydrogen-doped gas equipment

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  • Yun, Yunyun
  • Zhang, Dahai
  • Yang, Shengchun
  • Li, Yaping
  • Yan, Jiahao

Abstract

To reduce carbon emissions and optimize energy utilization of integrated energy system (IES), an integrated electricity-heat-gas energy system containing coupled operation of oxy-fuel combustion capture and power to gas (OCC–P2G) and hydrogen-doped gas equipment is established in this paper. Firstly, the introduction of OCC technology transforms the thermal power unit into the OCC unit. The net output model of OCC unit and the equation of electric-carbon characteristic are established. Secondly, the two-stage refinement model of power to gas (P2G) and the model of hydrogen-doped gas equipment are constructed. Thirdly, considering the fairness principle of punishing positive carbon emissions and rewarding negative carbon emissions, a reward-penalty staircase carbon trading mechanism was constructed to constrain system carbon emissions. On this basis, an economic dispatch model of integrated energy system is established. The simulation results demonstrate that the ratio of wind abandonment is 0%, the actual carbon emission is only 35.08% of carbon quota, and the operation cost is only 237.1 thousand dollars. By setting multiple scenarios for comparative verification, the proposed strategy has lower economic cost and carbon emission.

Suggested Citation

  • Yun, Yunyun & Zhang, Dahai & Yang, Shengchun & Li, Yaping & Yan, Jiahao, 2023. "Low-carbon optimal dispatch of integrated energy system considering the operation of oxy-fuel combustion coupled with power-to-gas and hydrogen-doped gas equipment," Energy, Elsevier, vol. 283(C).
    • Handle: RePEc:eee:energy:v:283:y:2023:i:c:s0360544223025215
    DOI: 10.1016/j.energy.2023.129127
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    1. Yue Xin & Ke Wang & Yindi Zhang & Fanjin Zeng & Xiang He & Shadrack Adjei Takyi & Paitoon Tontiwachwuthikul, 2021. "Numerical Simulation of Combustion of Natural Gas Mixed with Hydrogen in Gas Boilers," Energies, MDPI, vol. 14(21), pages 1-15, October.
    2. Wang, Rutian & Wen, Xiangyun & Wang, Xiuyun & Fu, Yanbo & Zhang, Yu, 2022. "Low carbon optimal operation of integrated energy system based on carbon capture technology, LCA carbon emissions and ladder-type carbon trading," Applied Energy, Elsevier, vol. 311(C).
    3. Pan, Chongchao & Jin, Tai & Li, Na & Wang, Guanxiong & Hou, Xiaowang & Gu, Yueqing, 2023. "Multi-objective and two-stage optimization study of integrated energy systems considering P2G and integrated demand responses," Energy, Elsevier, vol. 270(C).
    4. Vu, Thang Toan & Lim, Young-Il & Song, Daesung & Mun, Tae-Young & Moon, Ji-Hong & Sun, Dowon & Hwang, Yoon-Tae & Lee, Jae-Goo & Park, Young Cheol, 2020. "Techno-economic analysis of ultra-supercritical power plants using air- and oxy-combustion circulating fluidized bed with and without CO2 capture," Energy, Elsevier, vol. 194(C).
    5. Zhang, Gang & Wen, Jiaxing & Xie, Tuo & Zhang, Kaoshe & Jia, Rong, 2023. "Bi-layer economic scheduling for integrated energy system based on source-load coordinated carbon reduction," Energy, Elsevier, vol. 280(C).
    6. Yin, Linfei & Tao, Min, 2023. "Balanced broad learning prediction model for carbon emissions of integrated energy systems considering distributed ground source heat pump heat storage systems and carbon capture & storage," Applied Energy, Elsevier, vol. 329(C).
    7. Taner, Tolga, 2018. "Energy and exergy analyze of PEM fuel cell: A case study of modeling and simulations," Energy, Elsevier, vol. 143(C), pages 284-294.
    8. Nie, Qingyun & Zhang, Lihui & Tong, Zihao & Dai, Guyu & Chai, Jianxue, 2022. "Cost compensation method for PEVs participating in dynamic economic dispatch based on carbon trading mechanism," Energy, Elsevier, vol. 239(PA).
    9. Sun, Qingkai & Wang, Xiaojun & Liu, Zhao & Mirsaeidi, Sohrab & He, Jinghan & Pei, Wei, 2022. "Multi-agent energy management optimization for integrated energy systems under the energy and carbon co-trading market," Applied Energy, Elsevier, vol. 324(C).
    10. Xiang, Yue & Wu, Gang & Shen, Xiaodong & Ma, Yuhang & Gou, Jing & Xu, Weiting & Liu, Junyong, 2021. "Low-carbon economic dispatch of electricity-gas systems," Energy, Elsevier, vol. 226(C).
    11. Zhang, Lijun & Chennells, Michael & Xia, Xiaohua, 2018. "A power dispatch model for a ferrochrome plant heat recovery cogeneration system," Applied Energy, Elsevier, vol. 227(C), pages 180-189.
    12. Wu, Hai-bo & Xu, Ming-xin & Li, Yan-bing & Wu, Jin-hua & Shen, Jian-chong & Liao, Haiyan, 2020. "Experimental research on the process of compression and purification of CO2 in oxy-fuel combustion," Applied Energy, Elsevier, vol. 259(C).
    Full references (including those not matched with items on IDEAS)

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