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Optimization for ice-storage air-conditioning system using particle swarm algorithm

机译：基于粒子群算法的储冰空调系统优化

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摘要

Ice-storage air-conditioning system, while known for its advantage of shifting power consumption at peak hours during the day to the nighttime, can increase both energy consumption and CO_2 emission. The study adopts particle swarm algorithm to facilitate optimization of ice-storage air-conditioning systems and to develop optimal operating strategies, using minimal life cycle cost as the objective function. Increase in power consumption and CO_2 emission triggered by the use of ice-storage air-conditioning system is also examined and analyzed. Case study is based on a typical air-conditioning system in an office building. Results indicate that, with proper parameters, particle swarm algorithm can be effectively applied to the optimization of ice-storage air-conditioning system. In addition, optimal capacity of the ice-storage tank can be obtained. However, the volume of power consumption and CO_2 emission rises with the increase in ice-storage tank capacity. Consideration of additional costs of power consumption like carbon tax can therefore lead to changes in the optimal system configuration.
机译：储冰空调系统虽然具有将白天高峰时段的功耗转移到夜间的优势，但它可以增加能耗和CO_2排放量。该研究采用粒子群算法，以最小的生命周期成本为目标函数，促进冰蓄冷空调系统的优化并制定最佳的运行策略。还研究和分析了由于使用储冰空调系统而导致的功耗增加和CO_2排放增加。案例研究基于办公大楼中的典型空调系统。结果表明，采用适当的参数，粒子群算法可以有效地应用于储冰空调系统的优化。另外，可以获得储冰罐的最佳容量。但是，随着储冰罐容量的增加，功耗和CO_2排放量也随之增加。因此，考虑额外的电力消耗成本（例如碳税）可能会导致最佳系统配置发生变化。

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  • 来源
    《Applied Energy》 |2009年第9期|1589-1595|共7页
  • 作者

    Wen-Shing Lee; Yi -Ting Chen; Ting-Hau Wu;

  • 作者单位

    Department of Energy and Refrigerating Air-Conditioning Engineering, National Taipei University of Technology, 1, Sec. 3, Chung-hsiao E. Rd., Taipei, Taiwan, ROC;

    Department of Energy and Refrigerating Air-Conditioning Engineering, National Taipei University of Technology, 1, Sec. 3, Chung-hsiao E. Rd., Taipei, Taiwan, ROC;

    Department of Energy and Refrigerating Air-Conditioning Engineering, National Taipei University of Technology, 1, Sec. 3, Chung-hsiao E. Rd., Taipei, Taiwan, ROC;

  • 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

    ice-storage air-conditioning system; particle swarm algorithm; optimum;

    机译：储冰空调系统;粒子群算法;最佳;

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