- 學位論文
應用雲端計算於空調設備性能分析
Application of Cloud Computing in Performance Analysis of Air Conditioning Apparatus
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摘要
本研究目的為開發一個以量測四點溫度及功率來評估空調設備之性能係數與不可逆性的演算法，並將演算法發佈到雲端，實現雲端服務與空調檢測的結合。研究方法為，結合四點溫度、壓縮機功率、熱力學與流體力學之理論公式，在等焓膨脹的條件下，以猜測初始冷媒質量流率來計算壓降，並且以能量守恆作為收斂條件，最終以數值迭代的方式求得四點的狀態，並可進一步得到空調設備的性能係數及不可逆性。本研究演算法案例共有三個，案例一為殼管式熱交換器熱泵，著重目標為探討元件之不可逆性。經過研究發現，案例一中冷凝器的不可逆性占比相當高，以及在某些操作條件下，壓縮機的不可逆性會提高，使得性能係數迅速降低；案例二為板式熱交換器，目標為探討冷媒與水側性能係數的誤差值及不可逆性。經研究發現性能係數的誤差為3%，而不可逆性是壓縮機最高、冷凝器第二、蒸發器和膨脹閥相近；案例三為氣冷式冷藏機，著重目標為討論加裝冷媒優化裝置後，性能係數能提高多少百分比。經過研究發現性能係數約能提高20%。 雲端部分以兩台電腦作為伺服器，分別執行演算及資料儲存空間。客戶端可以藉由網路，使用手機、平板及個人電腦可使用本研究所提供的雲端服務。經過研究發現，本演算法處理一筆數據大約需要計算0.004秒，反應相當迅速。
並列摘要
The purpose of this study is to develop an algorithm to measure the performance and irreversibility of air conditioning equipment by measuring the four-point temperature and power, and publish the algorithm to the cloud to achieve the goal of combining cloud service with performance analysis of air conditioning equipment. The method to carry out this study was taking four-point temperature and power of compressor to calculate pressure drop by guessing the initial refrigerant mass flow rate under the condition of isenthalpic expansion, and the energy conservation law is used as the convergence condition. Finally, the state of the four points is obtained by numerical iteration, and the performance of coefficient and irreversibility of the air conditioner can be further obtained. In this study, there are three cases, one case is the shell-and-tube heat exchanger heat pump, focusing on the object to explore the irreversibility of the components. It is found that the irreversibility of the compressor is improved under certain operating conditions, and the performance coefficient is reduced rapidly. Case 2 is the plate heat exchanger, focusing on the object to discuss the error value and irreversibility of the refrigerant performance coefficient. It is found that the error of the performance coefficient is about 3%, and the irreversibility is the highest of the compressor, the condenser is the second, the evaporator and the expansion valve are similar; Case 3 is the air-cooled refrigerator, focusing on the discussion of the installation of refrigerant optimization device. It is found that the coefficient of performance can be increased by 20% after installing the refrigerant optimization device. In the cloud computing part, there are two computer need for server. One server is used to carry out the algorithm and the other is used to data storage and query. Client can use personal computer, mobile phone or tablet to access to the service by web. In the study, the algorithm takes an average of 0.004 second to deals with a data.
參考文獻
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