近代科技的蓬勃發展，使全球對於能源的需求不斷增加，但目前使用的能源有限，因此發展新一代的替代能源是各國致力發展的目標。由於氫能具有兼顧來源豐富及低汙染等特性，被視為次世代的綠色能源載體。電解水為產氫的方法之一，進料只有水，透過電能將氫與氧分離，是個乾淨低污染的製程，但缺點為需要大量的電能。
本論文的產氫設計製程是以電解水產氫方法為背景，透過銅-氯熱化學循環系統的幫助，使用外界的廢熱來替代部分電能以減少電能的使用，並以結合熱力學第一、第二定律之「可用能分析法」進行分析此製程，該法比起傳統能量效率多考慮「熵」的熱力學性質，能更客觀的分析此製程各裝置能量損失和效率表現，以及製程的總效率，之後藉由反應曲面優化方法尋找適當的操作條件，降低損失能量提高整體系統效率及氫氣產率。
另一部分，可用能經濟法為結合能量與經濟概念的評估方法，能準確的分析各裝置在製程之中的經濟重要性；而可用能經濟因子的分析指標能判斷各裝置經濟的損耗是由於硬體與操作成本引起或是由於可用能效率低落而導致，依據其值的大小，可判斷下一步優化的方向，針對弱點進行改善，以得到更好的經濟效益。

In this study, the simulation model of several Cu-Cl thermochemical cycle for hydrogen production are developed to design and analyze by using the Aspen Plus chemical software. This research used the exergy which is combined first and second law of thermodynamics to identify the potential performance improvements of each device. By the results of Aspen Plus software, we can observe the exergy destruction, reaction heat, and heat efficiency for each model vary with the reaction temperature and feed ratio. The exergy efficiency is found to be 23.1% for the five-step thermochemical process, 25.8% for the four-step process and 28.4% for the three-step process. Then, chose the most high efficiency process to optimize further. Sensitivity analyses are performed to determine the results of various operating parameters on the exergy efficiency, system heat and hydrogen yield. Response Surface Model (RSM) is a collection of mathematical and statistical techniques for empirical model building. It is a powerful method to predict and optimize the results of each process by change the operating parameters like reactor temperature or feed ratio. The overall exergy efficiency of the three-step cycle varies from 28.4 to 45% by using RSM method. Then, using the exergoeconomic analysis to analyze the value of each device and evaluate which one is the most important in the process. Then use Exergoeconomic Factor to predict the device further directions to optimize.

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