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Modeling and Optimal Design of Biomass Torrefaction Process

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dc.contributor.advisor한종훈-
dc.contributor.author박찬샘-
dc.date.accessioned2017-07-13T08:37:55Z-
dc.date.available2017-07-13T08:37:55Z-
dc.date.issued2014-08-
dc.identifier.other000000022062-
dc.identifier.urihttps://hdl.handle.net/10371/119714-
dc.description학위논문 (박사)-- 서울대학교 대학원 : 화학생물공학부, 2014. 8. 한종훈.-
dc.description.abstractAlthough the potential of biomass is immense as fuel, raw biomass has poor properties such as low energy density, hydrophilicity and high grinding energy requirement. Torrefaction is thermal pretreatment technology to enhance the biomass property. It is called as a mild pyrolysis occurring in the temperature range of 200–300°C and at atmospheric pressure in the absence of oxygen. Biomass torrefaction has been known as a feasible method to convert the biomass feedstock into attractive solid fuel which is utilized for combustion and gasification. Moreover, the torrefied biomass has high energy density, hydrophobic property, high grindability and a lower oxygen to carbon ratio. However, the economical infeasibility of torrefaction process is major difficulty in commercial production of torrefied biomass. In order to overcome the difficulty in economics, structural improvement of process design and optimization of design variables are required. Torrefaction reactor model is needed for the development of reactor and process designs for biomass torrefaction. In the thesis, a one-dimensional reactor model was developed based on the kinetic model describing volatiles components and solid evolution and the thermochemical model proposed by Bates and Ghoniem [1, 2] considering heat and mass balance. The developed reactor model used the temperature and flow rate of the recycled gas, which can be used as the practical manipulated variables instead of the torrefaction temperature, under operating conditions based on the process scheme proposed by Bergman et al. [3]. The temperature profiles of the gas and solid phase were generated, depending on the practical thermal conditions, using developed model. Moreover, the effects of each selected operating variables on the parameters of the torrefaction process and effect of whole operating variables with particular energy yield were analyzed. Through the results of sensitivity analysis, it is represented that the residence time insignificantly influenced to energy yield when the flow rate of recycled gas is low. Moreover, higher temperature of recycled gas with lower flow rate of recycled gas and residence time produces the attractive properties, including HHV and grindability, of torrefied biomass when the energy yield is specified. Using the developed model, the optimization of operating variables in the basic process design was carried out. For the formulation of optimization problem, the assessment method to evaluate the torrefaction process was analyzed and chosen. In order to develop the objective function of optimization problem, the economic evaluation model was made based on reasonable assumptions. It includes the capital cost of main facilities and operating cost of natural gas and electricity. To enhance the basic process design, the drawbacks in the base case reactor was analyzed and found several opportunities to improve the process efficiency. Based on the opportunities to improve the process, three process alternatives was proposed. The operating variables of process alternatives were optimized and compared to propose the optimal process design of biomass torrefaction.-
dc.description.tableofcontentsCHAPTER1:Introduction 1
1.1.Research motivation 1
1.2.Research objective 3
1.3.Outline of thesis 4
CHAPTER2:Modeling of biomass torrefaction process 5
2.1.Introduction 5
2.2.Modeling 9
2.2.1.Conditions of reactor model 9
2.2.2.Modeling approach 12
2.2.3.Solid and volatile evolution kinetics 14
2.2.4.Thermochemical properties 17
2.2.5.Solid drying rate 19
2.2.6.Heat transfer model 20
2.2.7.Heat and mass balance 20
2.2.8.Pressure drop 23
2.2.9.Validation of reactor model 24
2.3.Results and discussion 26
CHAPTER3:Parametric study of operating conditions in the biomass torrefaction 34
3.1.Introduction 34
3.2.Sensitivity analysis of operating variables 35
3.2.1. Manipulated variables 35
3.2.2. Process parameters 36
3.2.3. Feed conditions 37
3.3. Results and discussion 38
3.3.1. Effect of temperature of the recycled gas on the process parameters 38
3.3.2. Effect of flow rate of the recycled gas on the process parameters 42
3.3.3. Effect of residence time on the process parameters 47
3.3.4. Effect of feed condition on the process parameters 51
3.3.5. Effect of operating conditions on the process parameter with energy yield of0.961 53
3.3.6. Effect of operating conditions on the process parameter with energy yield of0.9 61
CHAPTER 4 : Optimization and economic comparison of process alternatives for biomass torrefaction 66
4.1.Introduction 66
4.2.Development of process alternatives 68
4.2.1.Analysis on base case of process design 68
4.2.2.Opportunities to enhance the process 72
4.2.3.Summary of process alternatives 75
4.3.Optimization problem formulation 78
4.3.1.Objective function 78
4.3.2.Manipulated variables 83
4.3.3.Constraints 85
4.3.4.Solution procedure 85
4.4.Results and discussion 86
4.4.1.Alternative 1 (optimized base case) 86
4.4.2.Alternative 2 (co current) 88
4.4.3.Alternative 3 (adding condenser) 90
4.4.4.Alternative 4 (adding rich water volatile stream) 92
4.4.5.Economic comparison of process alternatives 96
CHAPTER 5 : Conclusion and Future Works 100
5.1.Conclusion 100
5.2.Future Works 102
Reference 103
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dc.formatapplication/pdf-
dc.format.extent6874444 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectBiomass-
dc.subjectTorrefaction-
dc.subjectReactor modeling-
dc.subjectOperating conditions-
dc.subjectGas recycling-
dc.subjectParametric study-
dc.subjectProcess alternatives-
dc.subjectProcess optimization-
dc.subject.ddc660-
dc.titleModeling and Optimal Design of Biomass Torrefaction Process-
dc.typeThesis-
dc.description.degreeDoctor-
dc.citation.pages104-
dc.contributor.affiliation공과대학 화학생물공학부-
dc.date.awarded2014-08-
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