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Thermal performance of an active thermoelectric ventilation system applied for built space cooling: Network model and finite time thermodynamic optimization

机译:用于建筑物空间冷却的主动热电通风系统的热性能:网络模型和有限时间热力学优化

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摘要

An active thermoelectric ventilated (ATEV) system coupling with multiple thermoelectric coolers and heat sinks was proposed in the present work. Depending on global energy balance and finite time thermodynamics, performance parameters were firstly presented, including cooling capacity, entropy generation and coefficient of performance (COP). Subsequently, two analytical sub-models respectively for parallel flow heat exchangers and counter flow ones were developed. Input current of thermoelectric coolers, quantitative numbers of thermoelectric coolers and two heat exchanger types (parallel and counter flows) were sensitively varied to optimize overall performance of this system. In a representative residential space, demo case comparisons between traditional thermoelectric cooling units and present ATEV system have been conducted. When the number of thermoelectric coolers exceeded eight, cooling capacity of this new system decreased remarkably. For parallel flow heat exchangers, the entropy generation rate (Se) firstly dropped and then started to increase; for counter flow heat exchangers, whereas, it continuously decreased with increasing unit cell numbers. Overall, present ATEV system integrating built envelope wall and thermoelectric modules simultaneously could be a promising technology to enhance space cooling, whatever for built residents or electronic facilities. (C) 2018 Elsevier Ltd. All rights reserved.
机译:在本工作中,提出了一种主动热电通风(ATEV)系统,该系统与多个热电冷却器和散热器耦合。根据全局能量平衡和有限时间热力学,首先提出了性能参数,包括冷却能力,熵产生和性能系数(COP)。随后,分别为平行流热交换器和逆流热交换器开发了两个分析子模型。热电冷却器的输入电流,热电冷却器的定量数量和两种热交换器类型(平行和逆流)的变化非常敏感,以优化该系统的整体性能。在一个有代表性的住宅空间中,已进行了传统热电冷却装置与当前ATEV系统之间的演示案例比较。当热电冷却器的数量超过八个时,该新系统的冷却能力将显着下降。对于平行流换热器,熵产生率(Se)先下降然后开始增加。对于逆流换热器,它随着单位晶胞数的增加而连续下降。总体而言,目前的ATEV系统同时集成了建筑围护墙和热电模块,对于建筑居民或电子设施而言,增强空间冷却的技术都是有前途的。 (C)2018 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Energy》 |2019年第1期|915-930|共16页
  • 作者单位

    Wuhan Univ, Minist Educ, Key Lab Hydraul Machinery Transients, Wuhan, Hubei, Peoples R China|Wuhan Univ, Shenzhen Res Inst, Shenzhen, Guangdong, Peoples R China|Wuhan Univ, Sch Power & Mech Engn, Wuhan 430072, Hubei, Peoples R China;

    Wuhan Univ, Minist Educ, Key Lab Hydraul Machinery Transients, Wuhan, Hubei, Peoples R China|Wuhan Univ, Shenzhen Res Inst, Shenzhen, Guangdong, Peoples R China|Wuhan Univ, Sch Power & Mech Engn, Wuhan 430072, Hubei, Peoples R China;

    Wuhan Univ, Minist Educ, Key Lab Hydraul Machinery Transients, Wuhan, Hubei, Peoples R China|Wuhan Univ, Shenzhen Res Inst, Shenzhen, Guangdong, Peoples R China|Wuhan Univ, Sch Power & Mech Engn, Wuhan 430072, Hubei, Peoples R China;

    China Univ Petr, Coll Pipeline & Civil Engn, Qingdao, Shandong, Peoples R China;

    Wuhan Univ, Minist Educ, Key Lab Hydraul Machinery Transients, Wuhan, Hubei, Peoples R China|Wuhan Univ, Shenzhen Res Inst, Shenzhen, Guangdong, Peoples R China|Wuhan Univ, Sch Power & Mech Engn, Wuhan 430072, Hubei, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Thermoelectric ventilation; Space cooling; Network methodology; Thermodynamic optimization;

    机译:热电通风;空间冷却;网络方法;热力学优化;

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