空調水側系統節能最佳化控制之動態模擬研究

Transient simulation Study on the Optimal Energy-Saving Control of Water Loop in HVAC System

陳佳鴻(Jia-Hong Chen)

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(2010年)

摘要

由於能源價格飆升及政府在節能減碳政策宣導下，一般民眾對節約能源觀念逐漸重視，而在日常生活中，空調是最不可或缺且是各項用電項目中耗能比例最高的設備，因此空調設備為現階段辦公大樓進行節約能源的主要目標。本研究以一辦公大樓類型之空調水側系統做為研究對象，首先分析系統運轉情形，記錄系統運轉數據，建立基準比對資料，進一步應用粒子群演算法搜尋冰水主機冰水出水設定溫度、區域水泵、冷卻水泵及冷卻水塔風扇在滿足負載條件下之最佳化運轉值，並配合TRNSYS動態模擬軟體，建立系統基準模型，比對測量數據校正基準模型，確認準確性後，分別導入一般變頻控制及最佳化參數控制，比較基準模型、變頻模型及最佳化模型之耗能差異。
研究結果顯示以TRNSYS軟體建立之系統模型相當貼近實際系統，模擬結果與實際系統運作結果之相對誤差低於10%，適用於空調系統改善前評估改善項目及改善後驗證節能效益。比較二模型整體模擬期間的節能效益，應用粒子群演算法之最佳化模型總節能量為3127.19 kWh(節能率15.52%)優於變頻模型的總節能量2768.05 kWh(節能率13.73%)。

關鍵字

TRNSYS ； 粒子群演算法 ； 最佳化運轉

並列摘要

As soaring energy prices and the policy of Energy Saving and Carbon Reduction, the concept of energy conservation is attracting growing attention from the general public. In daily, air-conditioning is the most essential and highest energy consumption facilities in an office building, therefore, saving the energy of air-conditioning to office buildings is the main objective at this stage.
In this study, an air-conditioning water-side system of office building type is studied, first of all, analyzing the operating status of the system, and recording the operating data, then establish criterion comparison data. Take a further step to adopt Particle Swarm Optimization to figure out the optimization operating value of chiller water supply temperature set point、zone pump、cooling water pump and cooling tower fan under satisfy the load conditions. Cooperating with TRNSYS transient simulation program to establish system criterion model, after confirming the accuracy, applying to general variable speed control and optimization parameter control, and compare the difference of energy consumption between criterion variable speed and Optimization model.
The results of study show the system model which built by TRNSYS software is rather correspond to the actual system, the relative error of simulation results and actual system operation is less than 10%, it is suitable for pre-estimating the improvement objective before improve the air-conditioning system and verify the energy saving efficiency after improve the air-conditioning system. Comparison of the two models of energy saving efficiency, the energy saving of Particle Swarm Optimization model is 3127.19 kWh (energy saving ratio 15.52%) which is better than variable speed model 2768.05 kWh (energy saving ratio 13.73%).

並列關鍵字

TRNSYS ； Particle Swarm Optimization ； Optimal Operation

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