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The study of the dynamic load forecasting model about air-conditioning system based on the terminal user load

机译:基于终端用户负荷的空调系统动态负荷预测模型研究

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摘要

The energy-saving optimization control strategies of central air-conditioning system widely used now is according to the operation parameters of the cold source side to adjust the load supply. But the operation parameter describes the centralized and hysteresis effect about the central air conditioning system in current load. The effects can't well reflect the actual change about the user load and ensure the comfort of all users. It will be better if directly regulate the cold source of central air conditioning load according to the needs of the terminal users. Based on this idea, the study calculates the load of the terminal air-conditioning equipment according to its operating parameters, and then the dynamic load forecasting methods is used to establish the forecasting model that can forecast in real-time the load demand in the next time. The load forecasting methods do not need to analyze the factors that directly affect indoor load changes and to establish the load changes physical model. It use "the degree of load changes" to describe the load variation influence so to avoid the randomness and uncertainty about the change of the air-conditioning system load. The experimental results show that the forecasting model has well prediction effect. With the support of network control technology, all the terminal user load demand can be got, so the total load about the central air-conditioning based the terminal user forecasting load can be got. The better energy-saving optimization control strategies of central air-conditioning system will be get to use the forecasting load as the basis of the energy saving control for the central air conditioning cold source system. (C) 2015 Elsevier B.V. All rights reserved.
机译:目前广泛使用的中央空调系统的节能优化控制策略是根据冷源侧的运行参数来调节负荷供给。但是运行参数描述了当前负载下中央空调系统的集中和滞后效应。这些效果不能很好地反映用户负载的实际变化,并不能确保所有用户的舒适感。根据终端用户的需求,直接调节中央空调负荷的冷源效果会更好。基于此思想,本研究根据终端空调设备的运行参数计算其负荷,然后采用动态负荷预测方法建立了可以实时预测下一次负荷需求的预测模型。时间。负荷预测方法无需分析直接影响室内负荷变化的因素,也无需建立负荷变化物理模型。它使用“负荷变化程度”来描述负荷变化的影响,从而避免了空调系统负荷变化的随机性和不确定性。实验结果表明,该预测模型具有较好的预测效果。在网络控制技术的支持下,可以得到所有终端用户的负荷需求,从而可以得到基于终端用户预测负荷的中央空调总负荷。利用预测负荷作为中央空调冷源系统节能控制的基础,可以获得更好的中央空调系统节能优化控制策略。 (C)2015 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Energy and Buildings》 |2015年第5期|263-268|共6页
  • 作者单位

    Guangzhou Univ, Inst Bldg Energy Efficiency, Guangzhou 510006, Guangdong, Peoples R China;

    City Univ Hong Kong, Dept Civil & Architectural Engn, Kowloon, Hong Kong, Peoples R China;

    Guangzhou Design Inst, Guangzhou 510620, Guangdong, Peoples R China;

    Guangzhou Design Inst, Guangzhou 510620, Guangdong, Peoples R China;

    Guangzhou Univ, Inst Bldg Energy Efficiency, Guangzhou 510006, Guangdong, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Central air-conditioning; Load forecasting; Network control; Energy-saving;

    机译:中央空调;负荷预测;网络控制;节能;

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