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研究生: 巴蘇達
Abbas, Safdar
論文名稱: 污泥氣化的整合平衡與動力學模式建立及其多聯產程序設計
An Integrated Equilibrium and Kinetic Modeling of Sewage Sludge Gasification and Its Polygeneration Process Design
指導教授: 吳煒
Wu, Wei
學位類別: 碩士
Master
系所名稱: 工學院 - 化學工程學系
Department of Chemical Engineering
論文出版年: 2021
畢業學年度: 109
語文別: 英文
論文頁數: 95
外文關鍵詞: Sewage sludge, Gasification, Hybrid modeling, Carbon conversion efficiency, Pressure Swing Adsorption, Cold gas efficiency, Lower heating value, Combined Cycle
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  • In the present work, the sewage sludge from the wastewater treatment plant was acquired as the feedstock. With the amplifying growth of human population, industrial development and urbanization, the nation’s facing an acute challenge related with the management and disposal of sewage sludge. There exists an imperative requisite to ascertain sustainable, energy competent and minimum cost elucidations for the management, treatment and re-utilization of sewage sludge. Amid the thermo-chemical conversion processes, gasification was said to be the most prominent strategy for viable management. Gasification is a thermochemical process that is currently used to produce higher calorific value gases, such as hydrogen, carbon monoxide, carbon dioxide, methane, and other hydrocarbons. In these product gases, the hydrogen and carbon monoxide are called synthesis gas(syngas) which is widely used in heat or power generation and synthesis of fuels and chemicals.
    The intention of this work is to propose a model to simulate the gasification of sewage sludge in a fixed-bed downdraft gasifier. The gasification zones were modeled using integrated thermodynamic stoichiometric equilibrium (TSE) and Langmuir-Hinshelwood (LH) kinetic modeling for sewage sludge-based gasification process. The proposed model was compared with formerly published experimentation & modeling on Aspen results. In line with validation of the proposed model, the presented results were in a notable pact with the experimental work. The presented model showed 40% cold gas efficiency (CGE) and 95 % carbon conversion efficiency (CCE). For the developed model, a sensitivity analysis was performed by considering the operating conditions like temperature, pressure, equivalence ratio, steam to biomass ratio and residence time to evaluate the improvement in model for outlet gas composition. In the design of polygeneration process, we divided syngas into combined cycle for power generation and synthesis of hydrogen, natural gas and methanol through simple design with splitter. In the range of splitter, the max power generation is 240 MW, max SNG production is 25900 kg/hr. max hydrogen production is 7760 kg/hr. and max methanol production is 11750 kg/hr.

    Abstract I Acknowledgments II List of Tables V List of Figures VI Chapter 1. Introduction 1 1.1 Background 1 1.2 Production of sewage sludge 3 1.3 Current Sludge Management Practices 4 1.4 Thermochemical Conversion Technologies 6 1.5 Motivation and Objectives 7 Chapter 2. Modeling of Gasifier 10 2.1 Sewage sludge Chemical Formula 10 2.2 Water content in sewage sludge 11 2.3 Equivalence Ratio (ER) 11 2.4 Types of Gasifiers 12 2.5 Gasification Modeling 14 2.6 Model development 15 2.6.1 Drying & Pyrolysis zone 15 2.6.2 Oxidation zone 16 2.6.3 Reduction model 18 Chapter 3. Model Validation 26 3.1 Influence of Temperature 26 3.2 Influence of Equivalence Ratio 30 3.3 Influence of air + steam as gasifying agent 34 3.4 Analysis of Low heating value and Cold gas efficiency 38 3.5 Analysis of Carbon Conversion Efficiency 41 3.6 Sensitivity Analysis 43 3.6.1 Effect of Residence Time 43 3.6.2 Effect of Operating Temperature 45 3.6.3 Effect of S/B Ratio 47 3.6.4 Effect of Equivalence Ratio 49 3.6.5 Effect of Operating Pressure 50 3.7 Combine Effect of ER & Operating temperature on Syngas Composition. 51 3.8 Combine Effect of S/B & Operating temperature on Syngas Composition. 52 Chapter 4. Utilization of Syngas 54 4.1 Integrated Gasification Combined Cycle 54 4.2 Cleaning of Syngas: 61 4.3 Hydrogen Production 63 4.4 Methane Production 68 4.5 Methanol Production Process 72 4.6 Results and discussion 75 Chapter 5. Conclusions and suggestions 79 5.1 Polygeneration Process Design 81 5.2 Suggestions 81 References 82 Appendix A 94

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