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系統識別號 U0026-1408201317203200
論文名稱(中文) 生物產氫程序之數值模式建立
論文名稱(英文) Mathematical Modeling of Biohydrogen Production Process
校院名稱 成功大學
系所名稱(中) 環境工程學系碩博士班
系所名稱(英) Department of Environmental Engineering
學年度 101
學期 2
出版年 102
研究生(中文) 丁艾琳
研究生(英文) Deqi Rizkivia Radita
電子信箱 deqiradita@gmail.com
學號 P56007045
學位類別 碩士
語文別 英文
論文頁數 120頁
口試委員 指導教授-黃良銘
口試委員-邱瓊芳
口試委員-張嘉修
中文關鍵字 none 
英文關鍵字 Bio-hydrogen  Mathematical modeling  Lactate and acetate production  Xylose  Maltose 
學科別分類
中文摘要 none
英文摘要 Fermentative bio-hydrogen production process is a very complex process that contain particular step. The hydrogen production rate from this process is influenced by many factors. This process always suffers from instability because of its complex process and a lack of understanding of the process. The instability of the process can cause process failure and lack of hydrogen gas production.
Mathematical model can help to obtain better understanding of some process. It contains a set of relationship between the variables that influence each process step. It can observe the possible behavior and the important step that happened in the process. Appropriate mathematical model needs to be developed in order to get better understanding of fermentative bio-hydrogen production process.
The fermentative bio-hydrogen production process that used different kind of main carbohydrate in the substrate such as maltose and xylose did not seem to follow the common patterns of fermentative bio-hydrogen production process by glucose fermentation. The possible patterns of the fermentative bio-hydrogen production process by maltose and xylose is expected to be explained by using mathematical model. The previous research results that used maltose and xylose as the main carbohydrate in the substrate are used to obtain appropriate mathematical model.
It is assumed that there are two main processes happened in the maltose and xylose fermentation bio-hydrogen production process. The first step is maltose or xylose consumption that produced lactate and acetate compound. The next step is lactate and acetate consumption that produced butyrate.
The mathematical model simulation of maltose and xylose fermentation bio-hydrogen production process fit well with the experimental data. The mathematical model describes each step from maltose or xylose consumption until butyrate production properly. Although it do not fit well with hydrogen and carbon dioxide but it can describes well the hydrogen and carbon dioxide production rate.
論文目次 ABSTRACT i
ACKNOWLEDGEMENTS iii
TABLE OF CONTENTS v
LIST OF TABLES ix
LIST OF FIGURES xi
LIST OF NOMENCLATURE xvii
CHAPTER 1 Introduction 1
CHAPTER 2 Literature Review 5
2.1 Hydrogen as Renewable Energy. 5
2.2 Anaerobic Digestion Process. 7
2.3 Parameters of Anaerobic Digestion Process. 8
2.3.1 pH Level. 9
2.3.2 Temperature. 10
2.4 Maltose and Xylose. 10
2.5 Maltose and Xylose Fermentation. 12
2.6 Mathematical Modeling of Anaerobic Digestion. 14
2.6.1 AQUASIM 2.0. 16
2.7 Bio-hydrogen Process Kinetics. 17
2.7.1 Monod Equations. 17
2.7.2 Andrew’s Equation. 18
2.7.3 Gompertz Equation. 19
2.7.4 Leudeking-Piret (LP) Model. 20
2.8 Hydrogen Producing Microorganism. 20
CHAPTER 3 Materials and Methods 23
3.1 Biochemical Hydrogen Potential Test. 23
3.2 Analytical Methods. 25
3.3 Fermentative Bio-Hydrogen Production Process Kinetics. 26
3.3.1 Kinetics of Microbial Growth. 26
3.3.2 Kinetics of Substrate Utilization. 27
3.3.3 Specific Substrate Utilization Rate. 29
3.4 Mathematical Modeling Simulation. 29
CHAPTER 4 Results and Discussions 33
4.1 Biochemical Hydrogen Potential Test Results. 33
4.1.1 Biochemical Hydrogen Potential Test Results using Bio-ethanol Residues from Tapioca Starch Fermentation. 33
4.1.2 Biochemical Hydrogen Potential Test Results using Bio-ethanol Residues from Rice Straw Fermentation. 36
4.1.3 Biochemical Hydrogen Potential Test Results using Bio-ethanol Residues from Bagasse Fermentation. 43
4.2 Mathematical Modeling Assumption and Limitation of Bio-hydrogen Production Process. 48
4.2.1 Mathematical Modeling Assumption and Limitation of Bio-hydrogen Production Process from Maltose Utilization. 52
4.2.2 Mathematical Modeling Assumption and Limitation of Bio-hydrogen Production Process from Xylose Utilization. 53
4.3 Mathematical Modeling Simulation of Fermentation Bio-hydrogen Production Process. 54
4.3.1 Mathematical Modeling Simulation of Bio-hydrogen Production Process from Maltose Utilization (using Bio-ethanol Residues from Tapioca Starch Fermentation). 54
4.3.2 Mathematical Modeling Simulation of Bio-hydrogen Production Process from Xylose Utilization (using Bio-ethanol Residues from Rice Straw Fermentation). 57
4.3.3 Mathematical Modeling Simulation of Xylose Fermentation (From Bagasse) Bio-hydrogen Production Process. 63
CHAPTER 5 Conclusions and Suggestions 69
5.1 Conclusions. 69
5.2 Suggestions. 70
REFERENCES 71
APPENDIX I: BHP Data 77
APPENDIX II: AQUASIM Simulation Results (Graph) 89
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