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Peak regulation strategies for ground source heat pump demand response of based on load forecasting: A case study of rural building in China

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Listed:
  • Meng, Qinglong
  • Wei, Ying'an
  • Fan, Jingjing
  • Li, Yanbo
  • Zhao, Fan
  • Lei, Yu
  • Sun, Hang
  • Jiang, Le
  • Yu, Lingli

Abstract

The increase in electricity consumption in rural areas has led to an overall increase in the peak load in both winter and summer, challenging the reliability of low-voltage distribution networks. A typical rural house in Xi ‘an area of Shaanxi Province is considered a case study. To aid the investigation, a ground source heat pump system is developed, installed, and used as the experimental platform. The simulation model of the rural residential building's energy consumption is established, and the demand response peak regulation strategy for the rural residential building in winter is investigated. Using the developed model, two demand response peak regulation models, Direct Compressor Control Mechanism (DCCM) and Thermostat Set-point Control Mechanism (TSCM) are formulated. Combined with a long-term and short-term memory neural network power load forecasting model, a simulation is carried out to analyze and study the indoor temperature, operating energy consumption, and other parameters under the two peak regulation scenarios. The proposed strategy is assessed and evaluated. Compared with the baseline model, the proposed strategy allows a reduction in the total building operating energy consumption of 41.9 % for the DCCM model and 17.2 % for the TSCM model.

Suggested Citation

  • Meng, Qinglong & Wei, Ying'an & Fan, Jingjing & Li, Yanbo & Zhao, Fan & Lei, Yu & Sun, Hang & Jiang, Le & Yu, Lingli, 2024. "Peak regulation strategies for ground source heat pump demand response of based on load forecasting: A case study of rural building in China," Renewable Energy, Elsevier, vol. 224(C).
    • Handle: RePEc:eee:renene:v:224:y:2024:i:c:s0960148124001241
    DOI: 10.1016/j.renene.2024.120059
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