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Research on the contribution of regional Energy Internet emission reduction considering time-of-use tariff

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  • Yang, Shu-Xia
  • Nie, Tian-qi
  • Li, Cheng-Cheng

Abstract

Energy Internet is expected to solve the problem of environmental pollution. This paper first analyzes the emission reduction mechanism of the time-of-use tariff on the regional Energy Internet, and then establishes a calculation model of regional Energy Internet emission reduction considering time-of-use tariff. Finally, a small-scale regional Energy Internet is simulated and calculated, and it is found that the carbon emission under the time-of-use tariff is reduced by 0.95% and the cost is reduced by 0.28%compared with that under the fixed electricity price. The results show that the system operation cost and pollutant emissions are lower under time-of-use tariff, and time-of-use tariff is more conducive to emission reduction. Moreover, it is also found that when the time-of-use tariff fluctuation ratio is less than 1, and the peak-to-valley electricity price ratio is between 2-3, the energy conservation and emission reduction is better, which provides a basis for the formulation of green electricity price.

Suggested Citation

  • Yang, Shu-Xia & Nie, Tian-qi & Li, Cheng-Cheng, 2022. "Research on the contribution of regional Energy Internet emission reduction considering time-of-use tariff," Energy, Elsevier, vol. 239(PB).
    • Handle: RePEc:eee:energy:v:239:y:2022:i:pb:s036054422102418x
    DOI: 10.1016/j.energy.2021.122170
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    Cited by:

    1. Liu, Xinglei & Liu, Jun & Ren, Kezheng & Liu, Xiaoming & Liu, Jiacheng, 2022. "An integrated fuzzy multi-energy transaction evaluation approach for energy internet markets considering judgement credibility and variable rough precision," Energy, Elsevier, vol. 261(PB).
    2. Li, Hao & Wang, Zhao-Hua & Zhang, Bin, 2023. "How social interaction induce energy-saving behaviors in buildings: Interpersonal & passive interactions v.s. public & active interactions," Energy Economics, Elsevier, vol. 118(C).
    3. Huang, He & Wang, Honglei & Hu, Yu-Jie & Li, Chengjiang & Wang, Xiaolin, 2022. "Optimal plan for energy conservation and CO2 emissions reduction of public buildings considering users' behavior: Case of China," Energy, Elsevier, vol. 261(PA).

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