Optimal day-ahead scheduling for distributed cleaning heating system with minimal carbon emissions
ID:393 View Protection:ATTENDEE Updated Time:2022-05-21 16:04:01 Hits:483 Poster Presentation

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Abstract
To coordinate renewable energy consumption and distributed clean heating supply, this paper introduces heat pumps and electric boiler-heat storage devices, constituting an integrated electrical and thermal energy system with wind power, thermal power, and combined heat and power. The power flow method is used to construct an overall dynamic power flow model containing transfer, dynamic conversion, and storage processes. A case to minimize carbon emissions is developed by considering each component constraint equation's overall system constraint equations. The day-ahead scheduling results can provide power curves, storage water temperature, SOC, and thermal resistance of heat exchangers. Meanwhile, as the distributed heat load rate grows 10%, the wind abandonment rate decreases by 5.5% and CO2 emissions decrease by 1.5%. In addition, the mass flow rate ratio in the electric boiler coupled heat storage tank can minimize the wind abandonment rate and CO2 emission within a specific range. Finally, the results provide a significant basis for the carbon reduction of the integrated energy system.
Keywords
Integrated Energy System;heat pump;heat storage;carbon emission;power flow method
Speaker
JunhongHao
Tsinghua University;North China Electric Power University

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Important Date
  • Conference Date

    May 27

    2022

    to

    May 29

    2022

  • Feb 28 2022

    Draft paper submission deadline

  • May 29 2022

    Registration deadline

  • Jun 22 2022

    Contribution Submission Deadline

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