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Optimal chiller sequencing control in an office building considering the variation Of chiller maximum cooling capacity

机译：考虑冷水机最大制冷量变化的办公大楼最佳冷水机顺序控制

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摘要

For air conditioning system with multiple chillers, sequencing control is crucial in achieving operating energy efficiency while maintaining indoor thermal comfort in commercial buildings. In this study, an optimal strategy was proposed to improve the chiller sequencing control for energy efficient and reliable operation. The chiller model and the effectiveness-NTU (number of transfer unit) cooling tower model were developed for calculating the maximum cooling capacity of the individual chiller. Then, a simple correlation of maximum cooling capacity of the chiller was established in order to simplify the calculation process. For predicting the chiller partial load ratio (PLR) accurately, mote accurate part-load performance curves were presented, considering the effect of maximum cooling capacity of chiller. The cooling load characteristic of typical working days in an office building in Zhuhai was also analyzed. Based on the cooling load profiles, the optimal chiller sequencing control strategy was formulated by using chiller model and branch and bound algorithm. In addition, three different chiller sequencing control strategies (strategies A-C) were tested and compared by implementing them in different chilled system configurations in the office building. The results suggest that the performances of strategies are varied for different chilled system configurations. The performance of the optimal strategy C, considering the variation of maximum cooling capacity of chiller, achieves the highest energy efficiency and reliability for different systems, especially for the system configuration in case I. Strategy B also considers the effect of maximum cooling capacity of chiller and is appropriate for the system of constant speed chiller with dedicated pumps (i.e. case 2). Strategy A is a conventional strategy, which can neither guarantee the energy saving operation of chiller plant nor the sufficient supply of cooling capacity. To conclude, the proposed optimal chiller sequencing control strategy C can be directly applied in the real chiller plant. (C) 2017 Published by Elsevier B.V.
机译：对于具有多个冷却器的空调系统，顺序控制对于在保持商业建筑物的室内热舒适性的同时实现运行能效至关重要。在这项研究中，提出了一种优化策略，以改善冷水机组的顺序控制，以实现高效节能和可靠运行。开发了冷水机模型和效率-NTU（转移单元数）冷却塔模型，以计算单个冷水机的最大制冷量。然后，建立了制冷机最大制冷量的简单关联，以简化计算过程。为了准确地预测冷水机组的部分负荷率（PLR），考虑了冷水机组最大冷却能力的影响，提出了精确的部分负荷性能曲线。分析了珠海某办公楼典型工作日的制冷负荷特性。基于冷却负荷曲线，利用冷却器模型和分支定界算法，确定了最佳冷却器排序控制策略。此外，还通过在办公楼的不同制冷系统配置中实施了三种不同的制冷机排序控制策略（A-C策略）进行了测试和比较。结果表明，针对不同的冷却系统配置，策略的性能有所不同。考虑到冷水机最大制冷量的变化，最优策略C的性能可实现不同系统的最高能效和可靠性，尤其是在情况I下的系统配置。策略B还考虑了冷水机最大制冷量的影响并且适用于带有专用泵的恒速冷却器系统（即案例2）。策略A是一种常规策略，既不能保证冷水机组的节能运行，也不能保证足够的冷却能力。总而言之，所提出的最佳冷水机组排序控制策略C可以直接应用于实际的冷水机组。 （C）2017由Elsevier B.V.发布

著录项

  • 来源
    《Energy and Buildings》 |2017年第4期|430-442|共13页
  • 作者

    Liu Zhaohui; Tan Hongwei; Luo Duo; Yu Guobao; Li Jin; Li Zhenyu;

  • 作者单位

    Tongji Univ, Sch Mech Engn, Shanghai, Peoples R China|Tongji Univ, Res Ctr Green Bldg & New Energy, Shanghai, Peoples R China;

    Tongji Univ, Sch Mech Engn, Shanghai, Peoples R China|Tongji Univ, Res Ctr Green Bldg & New Energy, Shanghai, Peoples R China|Tongji Univ, UNEP Tongji Inst Environm Sustainable Dev, Shanghai, Peoples R China;

    Zhuhai Singyes Green Bldg Technol Ltd, Zhuhai, Peoples R China;

    Zhuhai Singyes Green Bldg Technol Ltd, Zhuhai, Peoples R China;

    Zhuhai Singyes Green Bldg Technol Ltd, Zhuhai, Peoples R China;

    Tongji Univ, Sch Mech Engn, Shanghai, Peoples R China|Tongji Univ, Res Ctr Green Bldg & New Energy, Shanghai, 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

    Chiller sequencing control; Maximum cooling capacity; Variable speed screw chiller; Partial load ratio; Energy efficiency;

    机译：冷水机组顺序控制;最大制冷量;变速螺杆冷水机组;部分负荷比;能源效率;

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