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Design and Optimization of Carbon Dioxide Capture and Storage Process for Low-carbon Power Generation
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 한종훈 | - |
dc.contributor.author | 안진주 | - |
dc.date.accessioned | 2017-10-27T16:46:39Z | - |
dc.date.available | 2017-10-27T16:46:39Z | - |
dc.date.issued | 2017-08 | - |
dc.identifier.other | 000000145403 | - |
dc.identifier.uri | https://hdl.handle.net/10371/136859 | - |
dc.description | 학위논문 (박사)-- 서울대학교 대학원 공과대학 화학생물공학부, 2017. 8. 한종훈. | - |
dc.description.abstract | Carbon capture and storage (CCS) technologies have been considered a realistic option for mitigating the climate change. Post-combustion CO2 capture utilizes existing coal-fired power plants, and aqueous monoethanolamine (MEA) scrubbing is the most well proven capture technology. However, the heat and energy requirements of solvent regeneration and CO2 liquefaction cause a 30% decrease in net power output. This power de-rate is a major obstacle for implementing CCS. Herein, the energy efficient and economical carbon capture, compression, dehydration, liquefaction and injection process is proposed. Firstly, simulation-based parametric optimization is performed to minimize the power de-rate. Post-combustion CO2 capture with aqueous MEA scrubbing (85 %, 90 %, and 95 % removals) and CO2 liquefaction integrated with a 550 MWe supercritical coal-fired power plant is simulated. The liquid to gas ratio and stripper operating pressure of the CO2 capture process are the selected manipulated variables with steam extracted from the IP-LP crossover pipe and the first LP turbine as possible heat sources. The power de-rate was reduced to 17.7 % when operating at optimum conditions. In addition, the author propose a comprehensive optimal design of CO2 dehydration process using a superstructure-based optimization. The superstructure model development includes binary interaction parameter regression for NRTL-RK thermodynamic model, unit operation modeling, and identification of all connectivity of the unit operations in the superstructure. The superstructure imbeds 30,720 possible process alternatives, and the optimum process configuration with the least cost and its operating condition are simultaneously identified using Aspen Plus-MATLAB interface. The optimum process includes three-stage contactor, ten-stage still column, lean/rich solvent heat exchanger, and cold rich solvent split flow fed to the sixth-stage of still column. The total annualized cost of the optimum process is 5.67 M$/yr, and it corresponds to the specific annualized cost of 1.80 $/tonCO2. Sensitivity analysis using Monte Carlo simulation is also presented for the optimum process, and the refrigerant and steam are the most influential utility costs. Lastly, the small-scale topside CO2 injection process for offshore platform is designed from conceptual design to piping & instrument diagram level with the hazard and operability study is presented. | - |
dc.description.tableofcontents | CHAPTER 1. Introduction 1
1.1. Research motivation 1 1.2. Research objectives 3 1.3. Outline of the thesis 4 CHAPTER 2. Energy Penalty Reduction in Coal-fired Power Plant with Post-combustion CO2 Capture and Liquefaction Process 6 2.1. Overview 6 2.1.1. Methodology 11 2.2. Process Description 13 2.2.1. Steam Cycle 13 2.2.2. CO2 Capture Process 17 2.2.3. Self-refrigerant CO2 Liquefaction 26 2.3. Integration of Steam Cycle with CO2 Capture and Liquefaction Process 30 2.3.1. Definition of Power De-rate 30 2.3.2. Steam Extraction from an Existing Power Plant 31 2.3.3. Variable Selection 36 2.4. Results and Discussion 38 2.4.1. CO2 Capture Process 38 2.4.2. Liquefaction Process for Shipping 49 2.4.3. Power De-rate Reduction 51 CHAPTER 3. Design of Carbon Dioxide Dehydration Process using Derivative-free Superstructure Optimization 60 3.1. Overview 60 3.2. Modeling Basis 65 3.2.1. Design Specification 65 3.2.2. Thermodynamic Model 66 3.2.3. Data Regression and Validation 67 3.3. Design of Superstructure 71 3.3.1. Compression Process 72 3.3.2. Dehydration Process 73 3.4. Process Optimization 79 3.4.1. Preprocessing & Screening 79 3.4.2. Optimization Problem Formulation 80 3.4.3. Genetic Algorithm Interface Setting and Execution 83 3.5. Results and Discussion 84 3.5.1. Optimization Results 84 3.5.2. Thermodynamic Evaluation 89 3.5.3. Economic Evaluation 90 3.5.4. Sensitivity Analysis 91 CHAPTER 4. Design of CO2 Injection Topside Process for Offshore Platform in Pohang, South Korea 101 4.1. Overview 101 4.2. Process Description 106 4.3. Hazard and Operability (HAZOP) Analysis 110 4.3.1. Node Selection 116 4.3.1. Result and Discussion 120 CHAPTER 5. Concluding Remarks 126 5.1. Conclusions 126 Reference 130 Appendix 142 A. HAZOP Worksheet 142 Nomenclature 163 Abstract in Korean (국문초록) 167 | - |
dc.format | application/pdf | - |
dc.format.extent | 6892304 bytes | - |
dc.format.medium | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | 서울대학교 대학원 | - |
dc.subject | Offshore topside injection process | - |
dc.subject | Hazard and operability | - |
dc.subject | CCS | - |
dc.subject | Post-combustion CO2 capture | - |
dc.subject | Superstructure optimization | - |
dc.subject | CO2 dehydration | - |
dc.subject.ddc | 660.6 | - |
dc.title | Design and Optimization of Carbon Dioxide Capture and Storage Process for Low-carbon Power Generation | - |
dc.type | Thesis | - |
dc.description.degree | Doctor | - |
dc.contributor.affiliation | 공과대학 화학생물공학부 | - |
dc.date.awarded | 2017-08 | - |
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