The Experts below are selected from a list of 5151 Experts worldwide ranked by ideXlab platform
Moonyong Lee - One of the best experts on this subject based on the ideXlab platform.
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Surrogate-assisted modeling and optimization of a natural-Gas Liquefaction plant
Computers & Chemical Engineering, 2018Co-Authors: Wahid Ali, Mohd Shariq Khan, Muhammad Abdul Qyyum, Moonyong LeeAbstract:Abstract In this study, surrogate-assisted modeling and optimization of the single mixed refrigerant process of natural-Gas Liquefaction is presented. The mixed refrigerant Liquefaction process is highly nonlinear owing to the involved thermodynamics that increase the computational burden of any optimization algorithm. To address the computational-burden issue and obtain the results in a reasonable time for the complex single mixed refrigerant process, an approximate surrogate model was developed using a radial basis function combined with a thin-plate spline approach. Even with the reduced model, all the results obtained were comparable with those by rigorous first-principle models. This confirms that all the important characteristics of the model are correctly captured, and the surrogate models of the Liquefaction plant are acceptable replacements of first-principle models, especially in computationally demanding situations.
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energy optimization for single mixed refrigerant natural Gas Liquefaction process using the metaheuristic vortex search algorithm
Applied Thermal Engineering, 2018Co-Authors: Wahid Ali, Muhammad Abdul Qyyum, Kinza Qadee, Moonyong LeeAbstract:Abstract A metaheuristic vortex search algorithm was investigated for the optimization of a single mixed refrigerant (SMR) natural Gas Liquefaction process. The optimal design of a natural Gas Liquefaction processes involves multivariable non-linear thermodynamic interactions, which lead to exergy destruction and contribute to process irreversibility. As key decision variables, the optimal values of mixed refrigerant flow rates and process operating pressures were determined in the vortex pattern corresponding to the minimum required energy. In addition, the rigorous SMR process was simulated using Aspen Hysys® software and the resulting model was connected with the vortex search optimization algorithm coded in MATLAB. The optimal operating conditions found by the vortex search algorithm significantly reduced the required energy of the single mixed refrigerant process by ≤41.5% and improved the coefficient of performance by ≤32.8% in comparison with the base case. The vortex search algorithm was also compared with other well-proven optimization algorithms, such as genetic and particle swarm optimization algorithms, and was found to exhibit a superior performance over these existing approaches.
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Comprehensive Review of the Design Optimization of Natural Gas Liquefaction Processes: Current Status and Perspectives
Industrial & Engineering Chemistry Research, 2017Co-Authors: Muhammad Abdul Qyyum, Kinza Qadeer, Moonyong LeeAbstract:Globally, liquefied natural Gas (LNG) has drawn interest as a green energy source in comparison with other fossil fuels, mainly because of its ease of transport and low carbon dioxide emissions. However, LNG production is an energy and cost intensive process because of the huge power requirements for compression and refrigeration. Therefore, a major challenge in the LNG industry is to improve the energy efficiency of the LNG processes through economic and ecological strategies. Optimizing the design and operational parameters of the natural Gas Liquefaction cycles has been considered as one of most effective and popular approaches to address this issue. This paper reviews recent developments in the design optimization of LNG processes. In the choice of the most suitable and competitive LNG process, the operating costs, capital costs, environmental impact, and safety concerns must be considered for the optimal design and operation of LNG processes. The challenges in comparing recent researches are also dis...
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enhancement of single mixed refrigerant natural Gas Liquefaction process through process knowledge inspired optimization and modification
Applied Thermal Engineering, 2017Co-Authors: Tram Ngoc Pham, Sanggyu Lee, Nguye Van Duc Long, Moonyong LeeAbstract:Abstract This study examined the enhancement of the single mixed refrigerant (SMR) natural Gas Liquefaction process. The effects of the main parameters, such as mixed refrigerant (MR) composition and operating pressures on the compression energy requirement were investigated. A process knowledge inspired decision-making method was exploited for liquefied natural Gas process optimization. The results showed that the proposed optimization methodology is simple and effective in determining the optimal operating conditions and could save up to 30.6% in terms of the compressor duty compared to the base case. In addition, the proposed optimization methodology provides process understanding, which is essential to process engineers. Another benefit of the proposed methodology is that it can be applied to any MR Liquefaction cycle. The use of heavier refrigerants, such as isobutane and isopentane, and the addition of a NG compressor were examined to improve the energy efficiency of the SMR process. The effect of the intercooler outlet temperature on energy saving was also considered. The synergistic effects of those modifications on improving the performance of the Liquefaction process were investigated.
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a novel vortex tube based n2 expander Liquefaction process for enhancing the energy efficiency of natural Gas Liquefaction
E3S Web of Conferences, 2017Co-Authors: Muhammad Abdul Qyyum, Wahid Ali, Feng Wei, Arif Hussai, Oh Sehee, Moonyong LeeAbstract:This research work unfolds a simple, safe, and environment-friendly energy efficient novel vortex tube-based natural Gas Liquefaction process (LNG). A vortex tube was introduced to the popular N 2 -expander Liquefaction process to enhance the Liquefaction efficiency. The process structure and condition were modified and optimized to take a potential advantage of the vortex tube on the natural Gas Liquefaction cycle. Two commercial simulators ANSYS® and Aspen HYSYS® were used to investigate the application of vortex tube in the refrigeration cycle of LNG process. The Computational fluid dynamics (CFD) model was used to simulate the vortex tube with nitrogen (N 2 ) as a working fluid. Subsequently, the results of the CFD model were embedded in the Aspen HYSYS® to validate the proposed LNG Liquefaction process. The proposed natural Gas Liquefaction process was optimized using the knowledge-based optimization (KBO) approach. The overall energy consumption was chosen as an objective function for optimization. The performance of the proposed Liquefaction process was compared with the conventional N 2 -expander Liquefaction process. The vortex tube-based LNG process showed a significant improvement of energy efficiency by 20% in comparison with the conventional N 2 -expander Liquefaction process. This high energy efficiency was mainly due to the isentropic expansion of the vortex tube. It turned out that the high energy efficiency of vortex tube-based process is totally dependent on the refrigerant cold fraction, operating conditions as well as refrigerant cycle configurations.
Philippe Arpentinier - One of the best experts on this subject based on the ideXlab platform.
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An equation of state for solid–liquid–vapor equilibrium applied to Gas processing and natural Gas Liquefaction
Fluid Phase Equilibria, 2014Co-Authors: Paolo Stringari, Marco Campestrini, Christophe Coquelet, Philippe ArpentinierAbstract:The analytical equation of state for the representation of solid, liquid, and vapor (SLV-EoS), proposed by Yokozeki, has been applied to the representation of phase equilibrium of substances involved in Gas processing and in the natural Gas Liquefaction process. A new procedure for the parameters regression has been set up in order to achieve a better representation of phase equilibrium. This new procedure has been applied for obtaining new parameters for the original SLV-EoS equation, with the van der Waals attractive term. Different attractive terms have also been studied, in order to achieve an optimized representation for solid–liquid, solid–vapor, and liquid–vapor equilibrium of pure substances. The obtained equations have been used for representing phase equilibrium of carbon dioxide, methane, ethane, and propane in a wide range of temperature and pressure. The new equations have also been applied to the description of phase equilibrium, involving also solid phases, of the mixtures methane–carbon dioxide, ethane–carbon dioxide, and propane–carbon dioxide.
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An equation of state for solid-liquid-vapor equilibrium applied to Gas processing and natural Gas Liquefaction
Fluid Phase Equilibria, 2014Co-Authors: Paolo Stringari, Marco Campestrini, Christophe Coquelet, Philippe ArpentinierAbstract:The analytical equation of state for the representation of solid, liquid, and vapor (SLV-EoS), proposed by Yokozeki, has been applied to the representation of phase equilibrium of substances involved in Gas processing and in the natural Gas Liquefaction process. A new procedure for the parameters regression has been set up in order to achieve a better representation of phase equilibrium. This new procedure has been applied for obtaining new parameters for the original SLV-EoS equation, with the van der Waals attractive term. Different attractive terms have also been studied, in order to achieve an optimized representation for solid–liquid, solid–vapor, and liquid–vapor equilibrium of pure substances. The obtained equations have been used for representing phase equilibrium of carbon dioxide, methane, ethane, and propane in a wide range of temperature and pressure. The new equations have also been applied to the description of phase equilibrium, involving also solid phases, of the mixtures methane–carbon dioxide, ethane–carbon dioxide, and propane–carbon dioxide.
Paolo Stringari - One of the best experts on this subject based on the ideXlab platform.
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An equation of state for solid–liquid–vapor equilibrium applied to Gas processing and natural Gas Liquefaction
Fluid Phase Equilibria, 2014Co-Authors: Paolo Stringari, Marco Campestrini, Christophe Coquelet, Philippe ArpentinierAbstract:The analytical equation of state for the representation of solid, liquid, and vapor (SLV-EoS), proposed by Yokozeki, has been applied to the representation of phase equilibrium of substances involved in Gas processing and in the natural Gas Liquefaction process. A new procedure for the parameters regression has been set up in order to achieve a better representation of phase equilibrium. This new procedure has been applied for obtaining new parameters for the original SLV-EoS equation, with the van der Waals attractive term. Different attractive terms have also been studied, in order to achieve an optimized representation for solid–liquid, solid–vapor, and liquid–vapor equilibrium of pure substances. The obtained equations have been used for representing phase equilibrium of carbon dioxide, methane, ethane, and propane in a wide range of temperature and pressure. The new equations have also been applied to the description of phase equilibrium, involving also solid phases, of the mixtures methane–carbon dioxide, ethane–carbon dioxide, and propane–carbon dioxide.
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An equation of state for solid-liquid-vapor equilibrium applied to Gas processing and natural Gas Liquefaction
Fluid Phase Equilibria, 2014Co-Authors: Paolo Stringari, Marco Campestrini, Christophe Coquelet, Philippe ArpentinierAbstract:The analytical equation of state for the representation of solid, liquid, and vapor (SLV-EoS), proposed by Yokozeki, has been applied to the representation of phase equilibrium of substances involved in Gas processing and in the natural Gas Liquefaction process. A new procedure for the parameters regression has been set up in order to achieve a better representation of phase equilibrium. This new procedure has been applied for obtaining new parameters for the original SLV-EoS equation, with the van der Waals attractive term. Different attractive terms have also been studied, in order to achieve an optimized representation for solid–liquid, solid–vapor, and liquid–vapor equilibrium of pure substances. The obtained equations have been used for representing phase equilibrium of carbon dioxide, methane, ethane, and propane in a wide range of temperature and pressure. The new equations have also been applied to the description of phase equilibrium, involving also solid phases, of the mixtures methane–carbon dioxide, ethane–carbon dioxide, and propane–carbon dioxide.
Muhammad Abdul Qyyum - One of the best experts on this subject based on the ideXlab platform.
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An innovative vortex-tube turbo-expander refrigeration cycle for performance enhancement of nitrogen-based natural-Gas Liquefaction process
Applied Thermal Engineering, 2018Co-Authors: Muhammad Abdul Qyyum, Arif Hussain, Adnan Aslam NoonAbstract:Abstract Liquefied natural Gas (LNG) has attracted global attention as a more ecological energy source when compared to other fossil fuels. The nitrogen (N2) expander Liquefaction is the most green and safe process among the different types of commercial natural Gas Liquefaction processes, but its relatively low energy efficiency is a major issue. To solve this issue, an energy-efficient, safe, and simple refrigeration cycle was proposed to improve the energy efficiency of the N2 based natural-Gas Liquefaction process. In the proposed refrigeration cycle, vortex tube as an expansion device was integrated with turbo-expander in order to reduce the overall required energy for LNG production. A well-known commercial simulator Aspen Hysys® v9 was employed for modeling and analysis of proposed LNG process. The hybrid vortex-tube turbo-expander LNG process resulted in the specific energy requirement of 0.5900 kWh/kg LNG. Furthermore, the energy efficiency of the proposed LNG process was also compared with previous N2 expander-based LNG processes. The results demonstrated that the proposed hybrid configuration saved up to 68.5% (depending on feed composition and conditions) in terms of the overall specific energy requirement in comparison with previous studies.
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Surrogate-assisted modeling and optimization of a natural-Gas Liquefaction plant
Computers & Chemical Engineering, 2018Co-Authors: Wahid Ali, Mohd Shariq Khan, Muhammad Abdul Qyyum, Moonyong LeeAbstract:Abstract In this study, surrogate-assisted modeling and optimization of the single mixed refrigerant process of natural-Gas Liquefaction is presented. The mixed refrigerant Liquefaction process is highly nonlinear owing to the involved thermodynamics that increase the computational burden of any optimization algorithm. To address the computational-burden issue and obtain the results in a reasonable time for the complex single mixed refrigerant process, an approximate surrogate model was developed using a radial basis function combined with a thin-plate spline approach. Even with the reduced model, all the results obtained were comparable with those by rigorous first-principle models. This confirms that all the important characteristics of the model are correctly captured, and the surrogate models of the Liquefaction plant are acceptable replacements of first-principle models, especially in computationally demanding situations.
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energy optimization for single mixed refrigerant natural Gas Liquefaction process using the metaheuristic vortex search algorithm
Applied Thermal Engineering, 2018Co-Authors: Wahid Ali, Muhammad Abdul Qyyum, Kinza Qadee, Moonyong LeeAbstract:Abstract A metaheuristic vortex search algorithm was investigated for the optimization of a single mixed refrigerant (SMR) natural Gas Liquefaction process. The optimal design of a natural Gas Liquefaction processes involves multivariable non-linear thermodynamic interactions, which lead to exergy destruction and contribute to process irreversibility. As key decision variables, the optimal values of mixed refrigerant flow rates and process operating pressures were determined in the vortex pattern corresponding to the minimum required energy. In addition, the rigorous SMR process was simulated using Aspen Hysys® software and the resulting model was connected with the vortex search optimization algorithm coded in MATLAB. The optimal operating conditions found by the vortex search algorithm significantly reduced the required energy of the single mixed refrigerant process by ≤41.5% and improved the coefficient of performance by ≤32.8% in comparison with the base case. The vortex search algorithm was also compared with other well-proven optimization algorithms, such as genetic and particle swarm optimization algorithms, and was found to exhibit a superior performance over these existing approaches.
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Comprehensive Review of the Design Optimization of Natural Gas Liquefaction Processes: Current Status and Perspectives
Industrial & Engineering Chemistry Research, 2017Co-Authors: Muhammad Abdul Qyyum, Kinza Qadeer, Moonyong LeeAbstract:Globally, liquefied natural Gas (LNG) has drawn interest as a green energy source in comparison with other fossil fuels, mainly because of its ease of transport and low carbon dioxide emissions. However, LNG production is an energy and cost intensive process because of the huge power requirements for compression and refrigeration. Therefore, a major challenge in the LNG industry is to improve the energy efficiency of the LNG processes through economic and ecological strategies. Optimizing the design and operational parameters of the natural Gas Liquefaction cycles has been considered as one of most effective and popular approaches to address this issue. This paper reviews recent developments in the design optimization of LNG processes. In the choice of the most suitable and competitive LNG process, the operating costs, capital costs, environmental impact, and safety concerns must be considered for the optimal design and operation of LNG processes. The challenges in comparing recent researches are also dis...
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a novel vortex tube based n2 expander Liquefaction process for enhancing the energy efficiency of natural Gas Liquefaction
E3S Web of Conferences, 2017Co-Authors: Muhammad Abdul Qyyum, Wahid Ali, Feng Wei, Arif Hussai, Oh Sehee, Moonyong LeeAbstract:This research work unfolds a simple, safe, and environment-friendly energy efficient novel vortex tube-based natural Gas Liquefaction process (LNG). A vortex tube was introduced to the popular N 2 -expander Liquefaction process to enhance the Liquefaction efficiency. The process structure and condition were modified and optimized to take a potential advantage of the vortex tube on the natural Gas Liquefaction cycle. Two commercial simulators ANSYS® and Aspen HYSYS® were used to investigate the application of vortex tube in the refrigeration cycle of LNG process. The Computational fluid dynamics (CFD) model was used to simulate the vortex tube with nitrogen (N 2 ) as a working fluid. Subsequently, the results of the CFD model were embedded in the Aspen HYSYS® to validate the proposed LNG Liquefaction process. The proposed natural Gas Liquefaction process was optimized using the knowledge-based optimization (KBO) approach. The overall energy consumption was chosen as an objective function for optimization. The performance of the proposed Liquefaction process was compared with the conventional N 2 -expander Liquefaction process. The vortex tube-based LNG process showed a significant improvement of energy efficiency by 20% in comparison with the conventional N 2 -expander Liquefaction process. This high energy efficiency was mainly due to the isentropic expansion of the vortex tube. It turned out that the high energy efficiency of vortex tube-based process is totally dependent on the refrigerant cold fraction, operating conditions as well as refrigerant cycle configurations.
Il Moon - One of the best experts on this subject based on the ideXlab platform.
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Strategies for Process and Size Selection of Natural Gas Liquefaction Processes: Specific Profit Portfolio Approach by Economic Based Optimization
Industrial & Engineering Chemistry Research, 2017Co-Authors: Inkyu Lee, Il MoonAbstract:This study focuses on the strategies for process and size selection of various natural Gas Liquefaction processes by economic based optimization. As various types of Liquefaction processes can be differentiated by their energy efficiency and equipment requirements, the energy requirement and cost of a Liquefaction process have to be considered simultaneously to find the optimal process for a given plant size. Herein, we developed two mathematical models, i.e., the thermodynamic model and cost model, based on the unit equipment that were integrated into a profit optimization model that could be applied to various natural Gas Liquefaction processes and plant sizes. In this study, the profit optimization model was applied to three representative natural Gas Liquefaction processes: single mixed refrigerant (SMR), dual mixed refrigerant (DMR), and propane precooled mixed refrigerant (C3MR) processes. The capacity of the plants ranged from 1 to 7 million tons per annum (MTPA). As a result of profit optimization...
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Current Status of Optimal Design of Natural Gas Liquefaction Process
Computer-aided chemical engineering, 2014Co-Authors: Il Moon, Inkyu Lee, Kyungjae Tak, Sunkyu LeeAbstract:Abstract Natural Gas Liquefaction process is an energy intensive process due to its cryogenic condition. Therefore, one of the major objectives for the design and the optimization is the minimizing total energy consumption. Another important objective is the minimizing cost of the energy supply system. This research focused on the cost based optimization. First, the energy minimization for the mixed and the pure refrigerant systems was performed by deterministic optimization model. Then, the cost minimization for energy supply to the process was performed by the driver selection model. The driver selection model was built as mixed integer linear programming (MILP). As the result, 15 to 17% of energy saving was checked for the refrigerant system. At that time, optimal driver set which is the minimum cost for the energy supply system was found.
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Design and Optimization of a Pure Refrigerant Cycle for Natural Gas Liquefaction with Subcooling
Industrial & Engineering Chemistry Research, 2014Co-Authors: Inkyu Lee, Kyungjae Tak, Hweeung Kwon, Junghwan Kim, Il MoonAbstract:Natural Gas Liquefaction is an energy-intensive process in which energy reduction is a main concern. This research focused on minimizing the energy of the pure refrigeration cycle in natural Gas Liquefaction by improving the subcooling system. To minimize energy consumption, a pure refrigeration cycle with a subcooling system was simulated, and the result was thermodynamically analyzed. The thermodynamic analysis identified an opportunity to reduce the energy consumption, and a new design was proposed for the subcooling system. In addition, the proposed design was deterministically optimized to find the optimal compressing ratio, temperature, pressure, and flow rate. As the result, the optimal operating conditions were determined, and the energy consumption was reduced by 17.74%.
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Efficient Configuration of a Natural Gas Liquefaction Process for Energy Recovery
Industrial & Engineering Chemistry Research, 2014Co-Authors: Wonsub Lim, Inkyu Lee, Kyungjae Tak, Jae Hyun Cho, Il MoonAbstract:One of the most important challenges in a natural Gas Liquefaction plants is to improve the plant energy efficiency. In particular, if part of the natural Gas is used as a fuel Gas or the Liquefaction ratio is taken into account as a design factor in an liquified natural Gas (LNG) plant, process design focusing on cold energy recovery is an attractive option. In this study, various energy recovery-oriented process configurations and the potential improvements of energy savings in LNG plants were analyzed. Our primary focus for energy recovery in the LNG Liquefaction process was centered on utilizing the flash Gas stream from the phase separator. The applicability of the proposed configurations was validated by modeling and simulation of the single mixed refrigerant (SMR), propane precooled mixed refrigerant (C3MR), and single nitrogen (N2) expander processes. The simulation results for all cases exhibited considerable reductions of refrigerant flow rates, seawater cooling duties, and the specific work. Fo...
