地铁车站非空调季冷却塔供冷技术

Cooling Technology Using Cooling Towers for Metro Stations during Non-Air-Conditioning Seasons

  • 摘要:
    目的 地铁车站通风空调系统能耗占运营总成本的30%以上,其中非空调季设备用房仍需开启制冷机组,造成能源浪费。为降低能耗,有必要研究冷却塔免费供冷技术在地铁车站小系统中的应用可行性,探索适用于不同场景的冷却塔供冷方案。
    方法 通过分析地铁车站空调负荷特性,提出5种冷却塔供冷系统设计方案,包括开式冷却塔间接供冷、闭式冷却塔直接供冷、开式冷却塔直接供冷、冷却塔串联直接供冷及变频冷却塔直接供冷。结合不同系统形式的水路特性、换热效率及适用条件,对比其优缺点,并探讨水处理、管路优化及控制策略等关键问题。
    结果及结论 地铁小系统以显热负荷为主。在冬季以及过渡季节,应采取开式冷却塔间接供冷系统作为地铁车站小系统的优选方案,以显著降低能耗。建议根据气候条件、初投资及运维成本选择最优方案,并配套智能控制策略以最大化节能效益。

     

    Abstract:
    Objective The energy consumption of metro station ventilation and air-conditioning systems accounts for more than 30% of the total operating cost. During non-air-conditioning seasons, refrigeration units are still required to operate for equipment rooms, resulting in energy waste. To reduce energy consumption, it is necessary to investigate the feasibility of applying free cooling technology of cooling towers in metro station small cooling systems is investigated and the cooling tower schemes suitable for different scenarios are explored.
    Method By analyzing the air-conditioning load characteristics of metro stations, five cooling tower-based cooling system design schemes are proposed, including open cooling tower indirect cooling, closed cooling tower direct cooling, open cooling tower direct cooling, series-connected cooling tower direct cooling, and variable-frequency cooling tower direct cooling. Considering the water circuit characteristics, heat exchange efficiency, and applicable conditions of different system configurations, their advantages and disadvantages are compared, and key issues such as water treatment, pipeline optimization, and control strategies are discussed.
    Result & Conclusion  Studies show that the cooling load of metro small systems is mainly sensible heat. During winter and transition seasons, adopting an open cooling tower indirect cooling system is the optimal solution for small cooling systems in metro stations, so as to reduce energy consumption significantly. It is recommended to select the optimal scheme based on climatic conditions, initial investment, and operation maintenance costs, and to implement intelligent control strategies to maximize energy-saving benefits.

     

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