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Simulation study on supply temperature optimization in domestic heat pump systems

机译：家用热泵系统供气温度优化的仿真研究

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摘要

An air-to-water heat pump system for the heating of a one-family home is numerically analysed. The influence of the supply temperature on the seasonal performance factor of the heating system is examined by varying the heating curve. Furthermore, an adaptive control algorithm is studied which lowers the supply temperature according to the actual heating demand. The study includes a variation of control parameters. The different configurations are evaluated with respect to their efficiency (seasonal performance factor) and the comfort (room temperature). In systems with correctly parametrized heating curve controlling the room temperature is likely to be too high because of inner loads and solar gains. Instead of dealing with these gains by lowering the mass flow using thermostatic valves, the supply temperature can be dropped. This has a positive effect on heat pump efficiency because it decreases the total temperature lift. The control algorithm adapts the supply temperature in discrete time steps depending on the position of the thermostatic valve. Special attention has to be paid for the resulting room temperature and its deviation. With the control algorithm presented in this paper, the seasonal performance factor can be increased by up to 0.19, depending on the allowed variability of room temperature. Savings in annual primary energy demand compared to a standard controlling are up to 6.8%.
机译：数值分析了一个家庭供暖的空气-水热泵系统。通过改变加热曲线，可以检查供应温度对加热系统的季节性性能因子的影响。此外，研究了一种自适应控制算法，该算法根据实际的供热需求降低了供应温度。该研究包括控制参数的变化。根据效率（季节性能系数）和舒适度（室温）评估不同的配置。在具有正确参数化加热曲线的系统中，由于内部负载和日照增加，控制室温的温度可能过高。代替使用恒温阀降低质量流量来处理这些收益，可以降低供应温度。这对热泵效率有积极影响，因为它降低了总温度升程。控制算法根据恒温阀的位置以不连续的时间步长调整供应温度。必须特别注意所得的室温及其偏差。使用本文提出的控制算法，取决于允许的室温变化，季节性性能因数最多可以增加0.19。与标准控制相比，每年一次能源需求的节省高达6.8％。

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  • 来源
    《Building and Environment》 |2013年第1期|327-335|共9页
  • 作者

    K. Huchtemann; D. Mueller;

  • 作者单位

    RWTH Aachen University, Institute for Energy Efficient Buildings and Indoor Climate, E.ON Energy Research Center, Mathieustr. 10, 52074 Aachen, Germany;

    RWTH Aachen University, Institute for Energy Efficient Buildings and Indoor Climate, E.ON Energy Research Center, Mathieustr. 10, 52074 Aachen, Germany;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    heat pump system; adaptive control; building simulation; supply temperature;

    机译：热泵系统;自适应控制建筑模拟;供给温度;

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