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A simplified improved transactive control of air-conditioning demand response for determining room set-point temperature: Experimental studies

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  • Xiong, Chengyan
  • Sun, Zhe
  • Meng, Qinglong
  • Li, Zeyang
  • Wei, Yingan
  • Zhao, Fan
  • Jiang, Le

Abstract

At present, transactive control (TC) represents a novel demand response control method. As traditional TC strategies are incapable of determining the market-clearing price, the room set-point temperature cannot be calculated. Therefore, this study proposes a simplified improved transactive control (ITC) method for the demand response (DR) needs of air-conditioning systems. The relationship between the real-time electricity price and the user's bidding electricity price determines the set-point temperature of the ITC method. In addition to this, this method's control process is both simple and easy to implement. In order to test this method, the study conducted field experiments on a full-scale variable air volume air-conditioning platform. Four typical summer days were selected for the space cooling experiment. Of the four, three adopted the ITC strategy, while one adopted the conventional control strategy. Another typical four days were selected for the space heating experiment in winter, and all adopted the ITC strategy. Several conclusions are drawn after comparing the ITC strategy to the conventional control strategy. For one, after adopting the ITC strategy, the maximum energy consumption reduction and saving operating costs in the DR period reached 59.29% and 66.12%, respectively. Furthermore, the total energy consumption reduction was 7.49–13.72%, while the saving total operating costs were 6.19–30.80%. After adopting the ITC strategy, the room temperature of the air-conditioning room was closer to the acceptable indoor thermal comfort range than in the case of the conventional control strategy. Together, these results suggested that the ITC strategy is an efficient demand response method for air-conditioning systems.

Suggested Citation

  • Xiong, Chengyan & Sun, Zhe & Meng, Qinglong & Li, Zeyang & Wei, Yingan & Zhao, Fan & Jiang, Le, 2022. "A simplified improved transactive control of air-conditioning demand response for determining room set-point temperature: Experimental studies," Applied Energy, Elsevier, vol. 323(C).
    • Handle: RePEc:eee:appene:v:323:y:2022:i:c:s030626192200842x
    DOI: 10.1016/j.apenergy.2022.119521
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    References listed on IDEAS

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    1. Andrew Ly & Saeid Bashash, 2020. "Fast Transactive Control for Frequency Regulation in Smart Grids with Demand Response and Energy Storage," Energies, MDPI, vol. 13(18), pages 1-23, September.
    2. Behboodi, Sahand & Chassin, David P. & Djilali, Ned & Crawford, Curran, 2018. "Transactive control of fast-acting demand response based on thermostatic loads in real-time retail electricity markets," Applied Energy, Elsevier, vol. 210(C), pages 1310-1320.
    3. Yu, Min Gyung & Pavlak, Gregory S., 2021. "Assessing the performance of uncertainty-aware transactive controls for building thermal energy storage systems," Applied Energy, Elsevier, vol. 282(PB).
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    1. Xiong, Chengyan & Meng, Qinglong & Wei, Ying'an & Luo, Huilong & Lei, Yu & Liu, Jiao & Yan, Xiuying, 2023. "A demand response method for an active thermal energy storage air-conditioning system using improved transactive control: On-site experiments," Applied Energy, Elsevier, vol. 339(C).

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