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Efficient Operation of Air-Side Economizer Using Extremum Seeking Control

机译:采用极值搜索控制的空侧省煤器高效运行

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As the heating, ventilating, and air conditioning (HVAC) systems accounts for a major sector of energy consumption for commercial buildings, there has been a greater demand for improving the efficiency of such systems. The air-side economizers have been developed as a class of energy-saving HVAC devices that may increase the energy efficiency by taking advantage of outdoor air during cool or cold weather. However, many economizers do not operate in the expected manner and waste even more energy than before installation, mostly due to the unreliable sensors and actuators in practice. Better control strategy is needed for optimal and robust operation. In this paper, an extremum-seeking control (ESC) based self-optimizing strategy is proposed to minimize the energy consumption, with the feedback of chilled water supply command rather than the temperature and humidity measurements. The mechanical cooling load is minimized by seeking the optimal outdoor air damper opening in real time. Such scheme does not need temperature and humidity sensors, and depends much less on the knowledge of the economizer model. Simulation was performed on a MODELICA based transient model of a single-duct air-handling unit developed with DYMOLA and AIRCONDITIONING LIBRARY. The simulation results demonstrated the potential of using ESC to achieve the minimal mechanical cooling load in a self-optimizing manner. In addition, an antiwindup ESC scheme is proposed to handle the ESC windup issue due to actuator (damper) saturation. The simulation results validated the effectiveness of the proposed antiwindup ESC.
机译:由于供暖,通风和空调(HVAC)系统占商业建筑能耗的主要部分,因此对提高此类系统的效率提出了更高的要求。空气侧节能器已被开发为一类节能型HVAC设备,可通过在凉爽或寒冷的天气中利用室外空气来提高能源效率。但是,许多节煤器无法以预期的方式运行,浪费的能量甚至比安装前还要多,这主要是由于实践中传感器和执行器不可靠。需要更好的控制策略,以实现最佳而稳定的运行。本文提出了一种基于极值搜索控制(ESC)的自优化策略,以通过冷却水指令的反馈而不是温度和湿度的测量来最小化能耗。通过实时寻求最佳的室外空气挡板开度,可将机械冷却负荷降至最低。这样的方案不需要温度和湿度传感器,并且更少地依赖于节能器模型的知识。在基于MODELICA的单通道空气处理单元瞬态模型上进行了仿真,该单元由DYMOLA和空调库开发。仿真结果表明,使用电调以自优化的方式实现最小的机械冷却负荷的潜力。此外,提出了一种抗饱和电调方案,以解决由于执行器(阻尼器)饱和而导致的电饱和问题。仿真结果验证了所提出的抗饱和电调的有效性。

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