辦公大樓冰水系統最佳化模式模擬分析之研究

Research of Optimized Control Model by Simulation Analysis of HVAC Chilled Water System in Office Building

邱品逢(Pin-Feng Chiou)

指導教授 ： 柯明村

國立臺北科技大學/機電學院/能源與冷凍空調工程系碩士班/碩士(2009年)

摘要

本論文主要是探討辦公大樓空調冰水系統設備最佳化控制之運轉策略控制模式，以建立能源管理技術。目前冰水系統的控制通常由能源管理控制系統 (Energy management and control system，EMCS)來執行，其中包括低層次的局部控制和高層次的全域性控制，在不影響現場空調需求的情況下調控冰水系統的運轉策略，使整個冰水系統運轉達最高效率，為本論文之研究重點。
本研究建立冰水系統最佳化控制之理論模型，將系統劃分成三大核心。一次側主要應用平均負載方法尋求冰水主機最佳化排序，而在二次側，以粒子演算 (Particle Swarm Optimization，PSO) 法分析二次水泵之最佳化控制策略，共通管部份則以能量守恆方法來分析空調冰水系統一次與二次側對最佳化控制策略，本程式可逐時提供最佳化系統管理操作模式。
最後應用e-Quest模擬軟體印證模型之可靠度，並研究不同的節能控制模式的效益。結果顯示以最佳化的水泵控制模式節能量約44.7 ~ 61.6 %，而在冷卻水泵以溫度模式配合變能量系統時，其節能效益約33.09%，由本文所提出之溫度與壓力最佳化設備控制模式，可有效降低冰水系統用電量，併入建築中央監控系統，達建築物全面節能監控之目標。

關鍵字

最佳化控制 ； 能源管理控制系統 ； 粒子演算法

並列摘要

This thesis is to study the optimal operation control strategy for HVAC water system in office buildings in order to establish energy management techniques. At present, control of HVAC water systems is usually performed by the energy management system EMCS including the low level local control and high-level control of the entire region. The goal is to develop optimal operation strategies to keep the system at maximum efficiency without interrupting the demand supply of air-conditioning.
In establishing the theoretical optimal control model for the chilled water systems, this study divides the piping into three core systems. First, in the primary-loop the average load method is used to search for the optimal chiller sequence, and in the second, particle swarm optimization (PSO) method is applied to the secondary-loop to analysis the optimization pump control strategy. Finally, the energy conservation is used to the common pipe to establish the computing model and then a computer model is developed to analyze the whole chilled-water system for the best control strategy.
Finally, e-Quest simulation software is applied to validate the reliability of the present model and to study benefits of alternative energy-saving control modes. The results show that the present optimal control model can save pumping energy up to about 44.7 ~ 61.6%. And if the temperature-controlled variable-water volume technique is combined in the cooling water system, the energy-saving by the cooling water pump is about 33.09%. The optimal equipment control model by relevant temperature and pressure differential proposed by this study can effectively reduce the energy consumption of the HVAC water systems in office buildings, and can be embedded into the central control system of building to make real time comprehensive monitoring and optimal control of energy-saving possible.

並列關鍵字

Optimal Control ； Energy Management And Control System ； Particle Swarm

參考文獻

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[8] F.W. Yu and K.T. Chan ，“Tune up of the set point of condensing temperature for more energy efficient air cooled chillers”，Hong Kong Polytechnic University，Department of Building Services Engineering， Energy Conversion and Management ，vol.47，pp2499-2514， 2006.