低溫場域熱電系統優化為針對水溫< 100℃或氣體溫度< 250℃的發電系統進行性能優化，適用於工業廢熱、太陽熱能、生質熱能、地熱能等發電領域，可回收能源並使用於該場域中。本研究選定台東知本的地熱泉水為熱源，以一組額定發電約16 kW量級的有機朗肯循環發電機組為目標，建立一套符合機組系統的熱力模型，結合自行撰寫之基因演算法優化系統操作條件，進而提升系統效能(發電效率、淨輸出功)。
系統模擬除現有工作流體R134a之外，亦分析將工作流體替換為低全球暖化潛勢冷媒(R1234yf、R1234ze(E)、R1243zf)，可達到的發電效能與對環境的影響。最後，將以發電機組的實驗數據利用軟體分析系統內部熱傳量隨時間變化，驗證元件參數調整的效果，透過優化手段以提升發電效能。

The optimization of low-temperature field power generation system is to optimize the performance of power generation system for water temperature < 100°C or gas temperature < 250°C. It is applicable to industrial waste heat, solar energy, biomass heat, geothermal energy, etc. In this study, a geothermal spring in Jhihben, Taitung, was used as the hot source. We will establish a thermodynamic model that fits the 16 kW organic Rankine cycle power genset. The power generation efficiency and net output power of system was improved by using genetic algorithm.
The system simulations will analyze the power generation efficiency and environmental impact by the working fluid R134a and low global warming potential refrigerants (R1234yf, R1234ze(E), R1243zf). Finally, the experimental data of the genset will be used to analyze the heat transfer of the system over time. We will adjust the component parameters by optimization to improve the performance of power generating system.

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