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A simplified methodology to optimize the cooling tower approach temperature control schedule in a cooling system

机译:优化冷却系统中冷却塔进近温度控制时间表的简化方法

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摘要

This paper presents a comprehensive methodology helpful to engineers and plant managers for designing and achieving optimized operating conditions for cooling systems. The most widely accepted and utilized theories, such as the Merkel and Poppe models, has brought deviation of modeling performance or computational burden. Thus, the effectiveness cooling tower model by Braun is adopted to model the cooling tower performance with field measurements. A typical electric chiller model based on the condenser entering temperature is applied from the EnergyPlus Engineering Reference. These two models are integrated to determine the optimal operation for the cooling system. Correlations between the power consumption of chillers and cooling tower fans and approach temperatures are analyzed to determine the "near-optimal" operation. Furthermore, an optimized approach temperature reset schedule is evaluated in a case study. About 15.6% of the actual power consumption can be saved for the 68 sampled days with the proposed optimal control.
机译:本文提出了一种全面的方法,可帮助工程师和工厂经理设计和实现冷却系统的最佳运行条件。默克尔和Poppe模型等最广泛接受和利用的理论带来了建模性能或计算负担的偏差。因此,采用Braun的有效性冷却塔模型通过现场测量对冷却塔性能进行建模。可从EnergyPlus工程参考中应用基于冷凝器进入温度的典型电制冷机模型。将这两个模型集成在一起,以确定冷却系统的最佳运行。分析冷却器和冷却塔风扇的功率消耗与接近温度之间的相关性,以确定“接近最佳”运行。此外,在案例研究中评估了优化的方法温度重置计划。通过建议的最佳控制,在68个采样日中可以节省大约15.6%的实际功耗。

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