余政靖臺灣大學:化學工程學研究所林士庭Lin, Shih-TingShih-TingLin2007-11-262018-06-282007-11-262018-06-282004http://ntur.lib.ntu.edu.tw//handle/246246/52121In this work, a mathematic model is developed to describe an experimental methane fuel processor which is intended to provide hydrogen for a fuel cell system for power generation (2-3KW). Experimental work was carried in the facilities of Union Chemical Laboratory (UCL) of Industrial Technology Research Institute (ITRI) (Lee et al., 2002). First principle reactor models were constructed to describe a series of reactions, reforming (SR/ATR), high & low temperatures water gas shift (HTS /LTS), preferential oxidation (PROX) reactions, at different sectors of the reactor system for autothermal reforming of methane as well as gas cleaning (Choi and Stenger, 2003; Choi and Stenger, 2004; Pacheco et al., 2003). The pre-exponential factors of the rate constants were adjusted to fit the experimental data and the resultant reactor model provides reasonable good description of both steady state and dynamic behavior. Next, sensitivity analyses were performed to locate the optimal operating point of the fuel processor, the objective function of the optimization is the efficiency of the fuel processor (Lattner et al., 2004; Pacheco et al, 2003). Dominate optimization variables include: the ratios of water and oxygen to the hydrocarbon feed to the ATR reactor, and ATR reactor inlet temperature. The results indicate that an additional 2.5% improvement in the fuel processor efficiency can be made as compared to the present operation condition. Finally, the control issue is addressed. The control objective of a fuel processing system is quite clear: provide responsiveness to the changes in hydrogen demand while keeping the carbon monoxide concentration below 100 ppm. Two control structures are proposed. One uses the fuel feed flow rate as the throughput manipulator (TPM) and the other use the reactor outlet flow as the TPM. In both control structures, we can maintain the CO at allowable level, and we get faster dynamic response in the control structure with reactor outlet flow as the TPM.摘要 I Abstract III 誌謝 IV 目錄 VI 圖目錄 VIII 表目錄 XII 第一章 緒論 1 1.1 簡介 1 1.2 文獻回顧 11 1.3 研究動機 13 1.4 論文組織 13 第二章甲烷重組器系統實驗 15 2.1 實驗目的 15 2.2 實驗系統之流程 17 2.3 實驗設備 19 2.3.1 反應器部分 19 2.3.2 觸媒部分 20 2.4 實驗數據 24 2.4.1 實驗操作方法 24 2.4.2 實驗量測方法 25 2.4.3 數據部分 26 第三章甲烷重組器的模式化 29 3.1 系統描述 29 3.2 穩態模式建立 31 3.2.1 反應器模式的選擇 31 3.2.2 反應動力式 33 3.2.3 熱交換器單元模式建立 37 3.2.4 燃料重組器實驗數據及反應動力式之迴歸及穩態模式之修正 38 3.2.5 結果討論 51 3.3 動態模式建立 52 3.3.1動態模式表示式 52 3.3.2 動態模式之迴歸及修正 54 3.3 結果討論 59 第四章重組器操作變數的分析及最適化 ..61 4.1 系統分析之背景 61 4.2 操作變數對燃料重組系統的影響 62 4.2.1 重組反應器入口溫度(Tin)的影響 62 4.2.2 重組反應器水對甲烷進料比的影響 66 4.2.3 重組反應器氧對甲烷進料比的影響 69 4.2.3 重組反應器甲烷進料流量的影響 71 4.3 重組器操作參數之最適化 71 4.4 氫氣負載變化之最適化 81 4.5 結果討論 84 第五章甲烷重組器的控制 85 5.1 控制目標 85 5.2 控制變數的選擇 86 5.2.1 燃料重組器基本操作設計 86 5.2.2 控制參數的分析 86 5.3 控制結構設計 90 5.3.1 On supply 控制結構(CS1) 90 5.3.2 CS1結果分析 91 5.3.3 On demand 控制結構 (CS2) 103 5.3.4 CS2結果分析 103 5.4 結果討論 104 第六章結論 ..107 參考文獻 109 作者簡介 113924029 bytesapplication/pdfen-US模式化燃料重組器燃料電池fuel cellmodelingfuel processor燃料電池中燃料重組器之模式化,最適化及控制Modeling, optimization and control for the fuel processor of fuel cellthesishttp://ntur.lib.ntu.edu.tw/bitstream/246246/52121/1/ntu-93-R91524050-1.pdf