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OPTIMAL OPERATION OF CHILLER SYSTEM USING FUZZY CONTROL

机译:基于模糊控制的冷水机组优化运行

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摘要

Preservation of comfort conditions for buildings' occupants and minimization of energy consumption and cost are the main targets of the energy and indoor environment management systems. This paper aims to achieve those targets by presenting the optimal operation of chilling systems within the building supervisory control systems using fuzzy control instead of a conventional Programmable Logic Controller (PLC) - solutions. An optimal operation means reducing operation time and operation costs of the system; and reducing cooling energy generation and consumption costs. The optimal operation of a chilling system can be achieved using the fuzzy control system. The system addresses the shortcomings of conventional PLC-solutions that occur due to limited abilities of PLC functions with their binary logic. The optimization technique is realized by the use of fuzzy control via the FuzzyTECH?-Fuzzy Design Wizard (FDW) windows. The optimal operation of the system is analyzed using two controllers. The first controller consists of three inputs and one output, whilst the second controller consists of four inputs and one output. The chilling system described here supplies chill water to the air-conditioning systems installed in Universiti Teknologi Petronas (UTP). The data are obtained from the Gas District Cooling (GDC) that handles the operation of the chilling system and generates the chill water. The simulation results of the fuzzy system demonstrate significant improvement in the performance of the chilling system. Future work suggests the implementation of the fuzzy logic system on the target hardware platform, such as programmable logic controllers (PLC) using some special fuzzy logic function blocks.
机译:保持建筑物居住者的舒适条件以及将能耗和成本降至最低是能源和室内环境管理系统的主要目标。本文旨在通过提出使用模糊控制代替常规可编程逻辑控制器(PLC)解决方案的建筑物监控系统中制冷系统的最佳运行来实现这些目标。最佳运行意味着减少系统的运行时间和运行成本;并减少冷却能源的产生和消耗成本。使用模糊控制系统可以实现冷却系统的最佳运行。该系统解决了常规PLC解决方案的缺点,这些缺点是由于PLC功能的二进制逻辑功能有限而出现的。通过通过FuzzyTECH?-模糊设计向导(FDW)窗口使用模糊控制来实现优化技术。使用两个控制器分析系统的最佳运行。第一个控制器由三个输入和一个输出组成,而第二个控制器由四个输入和一个输出组成。此处介绍的冷却系统将冷水供应给安装在Teknologi Petronas(UTP)大学的空调系统。数据从处理冷却系统操作并产生冷却水的加气区冷却(GDC)获得。模糊系统的仿真结果证明了冷却系统性能的显着提高。未来的工作建议在目标硬件平台上实现模糊逻辑系统,例如使用一些特殊的模糊逻辑功能块的可编程逻辑控制器(PLC)。

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