15 research outputs found

    Design and Optimization of Carbon Dioxide Capture and Storage Process for Low-carbon Power Generation

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    ķ•™ģœ„ė…¼ė¬ø (ė°•ģ‚¬)-- ģ„œģšøėŒ€ķ•™źµ ėŒ€ķ•™ģ› ź³µź³¼ėŒ€ķ•™ ķ™”ķ•™ģƒė¬¼ź³µķ•™ė¶€, 2017. 8. ķ•œģ¢…ķ›ˆ.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,anditcorrespondstothespecificannualizedcostof1.80/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.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 (źµ­ė¬øģ“ˆė”) 167Docto

    Mastering Uncertainty in Mechanical Engineering

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    This open access book reports on innovative methods, technologies and strategies for mastering uncertainty in technical systems. Despite the fact that current research on uncertainty is mainly focusing on uncertainty quantification and analysis, this book gives emphasis to innovative ways to master uncertainty in engineering design, production and product usage alike. It gathers authoritative contributions by more than 30 scientists reporting on years of research in the areas of engineering, applied mathematics and law, thus offering a timely, comprehensive and multidisciplinary account of theories and methods for quantifying data, model and structural uncertainty, and of fundamental strategies for mastering uncertainty. It covers key concepts such as robustness, flexibility and resilience in detail. All the described methods, technologies and strategies have been validated with the help of three technical systems, i.e. the Modular Active Spring-Damper System, the Active Air Spring and the 3D Servo Press, which have been in turn developed and tested during more than ten years of cooperative research. Overall, this book offers a timely, practice-oriented reference guide to graduate students, researchers and professionals dealing with uncertainty in the broad field of mechanical engineering

    Throughput and Yield Improvement for a Continuous Discrete-Product Manufacturing System

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    A seam-welded steel pipe manufacturing process has mainly four distinct major design and/or operational problems dealing with buffer inventory, cutting tools, pipe sizing and inspection-rework facility. The general objective of this research is to optimally solve these four important problems to improve the throughput and yield of the system at a minimum cost. The first problem of this research finds the optimal buffer capacity of steel strip coils to minimize the maintenance and downtime related costs. The total cost function for this coil feeding system is formulated as a constrained non-linear programming (NLP) problem which is solved with a search algorithm. The second problem aims at finding the optimal tool magazine reload timing, magazine size and the order quantity for the cutting tools. This tool magazine system is formulated as a mixed-integer NLP problem which is solved for minimizing the total cost. The third problem deals with different type of manufacturing defects. The profit function of this problem forms a binary integer NLP problem which involves multiple integrals with several exponential and discrete functions. An exhaustive search method is employed to find the optimum strategy for dealing with the defects and pipe sizing. The fourth problem pertains to the number of servers and floor space allocations for the off-line inspection-rework facility. The total cost function forms an integer NLP structure, which is minimized with a customized search algorithm. In order to judge the impact of the above-mentioned problems, an overall equipment effectiveness (OEE) measure, coined as monetary loss based regression (MLBR) method, is also developed as the fifth problem to assess the performance of the entire manufacturing system. Finally, a numerical simulation of the entire process is conducted to illustrate the applications of the optimum parameters setting and to evaluate the overall effectiveness of the simulated system. The successful improvement of the simulated system supports this research to be implemented in a real manufacturing setup. Different pathways shown here for improving the throughput and yield of industrial systems reflect not only to the improvement of methodologies and techniques but also to the advancement of new technology and national economy

    Aeronautical engineering: A continuing bibliography with indexes (supplement 272)

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    This bibliography lists 719 reports, articles, and other documents introduced into the NASA scientific and technical information system in November, 1991. Subject coverage includes: design, construction and testing of aircraft and aircraft engines; aircraft components, equipment, and systems; ground support systems; and theoretical and applied aspects of aerodynamics and general fluid dynamics

    Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes

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    The book documents 25 papers collected from the Special Issue ā€œAdvances in Condition Monitoring, Optimization and Control for Complex Industrial Processesā€, highlighting recent research trends in complex industrial processes. The book aims to stimulate the research field and be of benefit to readers from both academic institutes and industrial sectors
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