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Methodology for determining the optimal operating strategies for a chilled-water-storage system - Part II: Project application

机译:确定冷水存储系统最佳运行策略的方法论-第二部分:项目应用

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摘要

A new methodology for determining the optimal operating strategies for a chilled-water-storage system under a time-of-use electricity rate structure is introduced in Part I. In Part II, a practical project is introduced to illustrate the application of this methodology. It is a large-scale chilled-water system with a 5.4 million gallon water storage tank and an advanced control system. The methodology proposed in this dissertation is successfully applied in this system to search the optimal operations of the thermal energy storage (TES) and chiller plant. The profiles of system cooling load and weather conditions between March 2007 and February 2008 are selected as the baseline. The utility rate structure is introduced and analyzed to define the off-peak and on-peah periods for the summer and winter months. Each component is modeled based on the trended data, and an hourly simulation is performed month by month. Six scenarios are designed and simulated to study the savings due to TES application, TES optimization, and plant optimization. The chiller chilled water leaving temperature and cooling tower approach temperature are optimized to further improve the plant performance. The simulation results show that the savings due to TES operation optimization and plant optimization could be very significant compared with the savings due to TES application. Many of these optimal control strategies have been implemented in the actual optimization performed on the system and achieved significant savings.
机译:在第一部分中介绍了一种新的方法,该方法用于确定使用时间电价结构下的冷冻水存储系统的最佳运行策略。在第二部分中,介绍了一个实际项目来说明此方法的应用。它是一个大型冷水系统,具有540万加仑的储水罐和先进的控制系统。本文所提出的方法已成功应用于该系统中,以寻找热能储存器和冷水机组的最佳运行方式。选择2007年3月至2008年2月之间的系统冷却负荷和天气状况的曲线作为基准。引入并分析了公用事业费结构,以定义夏季和冬季的非高峰期和高峰期。每个组件均基于趋势数据进行建模,并且每月进行一次每小时仿真。设计并模拟了六个方案来研究由于TES应用,TES优化和工厂优化而产生的节省。优化了冷却器冷却水的离开温度和冷却塔接近温度,以进一步改善工厂性能。仿真结果表明,与TES应用带来的节省相比,TES运行优化和工厂优化带来的节省可能非常可观。这些最佳控制策略中的许多已在系统上进行的实际优化中实现,并节省了大量资金。

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