The Experts below are selected from a list of 2067 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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closed loop self cooling recuperative n2 expander cycle for the energy efficient and ecological Natural Gas Liquefaction process
ACS Sustainable Chemistry & Engineering, 2018Co-Authors: Muhammad Abdul Qyyum, Kinza Qadee, Moonyong LeeAbstract:Liquefied Natural Gas (LNG) has attracted global attention as a more environmentally friendly 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. In this study, an innovative closed-loop self-cooling recuperation technology was proposed to reduce the exergy losses of the N2 expander LNG process. The LNG process with the implementation of the proposed technology was modeled using a commercial process simulation tool, ASPEN HYSYS v9. Subsequently, a modified coordinate descent optimization algorithm was employed to achieve maximum potential benefits of the proposed technology. The energy efficiency of the proposed LNG process was further improved by energy recovery from end flash Gas and high-pressure Natural Gas feed. Finally, the energy efficiency of the proposed closed-loop self-cooling recuperative...
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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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Closed-Loop Self-Cooling Recuperative N2 Expander Cycle for the Energy Efficient and Ecological Natural Gas Liquefaction Process
2018Co-Authors: Muhammad Abdul Qyyum, Kinza Qadee, Moonyong LeeAbstract:Liquefied Natural Gas (LNG) has attracted global attention as a more environmentally friendly 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. In this study, an innovative closed-loop self-cooling recuperation technology was proposed to reduce the exergy losses of the N2 expander LNG process. The LNG process with the implementation of the proposed technology was modeled using a commercial process simulation tool, ASPEN HYSYS v9. Subsequently, a modified coordinate descent optimization algorithm was employed to achieve maximum potential benefits of the proposed technology. The energy efficiency of the proposed LNG process was further improved by energy recovery from end flash Gas and high-pressure Natural Gas feed. Finally, the energy efficiency of the proposed closed-loop self-cooling recuperative N2 expander LNG process was significantly improved up to 80.5% compared to the existing N2 expander based LNG processes, depending on the feed Natural Gas conditions, composition, and design parameters
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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...
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.
Anzhong Gu - One of the best experts on this subject based on the ideXlab platform.
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parameter comparison of two small scale Natural Gas Liquefaction processes in skid mounted packages
Applied Thermal Engineering, 2006Co-Authors: Xuesheng Lu, Anzhong GuAbstract:Abstract Two typical types of small-scale Natural Gas Liquefaction process in skid-mounted package were designed and simulated. The key parameters of the two processes were compared, and the matching of the heating and cooling curves in heat exchangers was also analyzed. The results show that the N2–CH4 expander cycle precedes the mixed-refrigerant cycle on the premise of lacking propane pre-cooling. Large temperature difference and heat exchange load are the primary reasons of exergy loss in heat exchangers. The power consumption of compressors is influential to power consumption per unit LNG, so compression with intercooling should be adopted.
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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closed loop self cooling recuperative n2 expander cycle for the energy efficient and ecological Natural Gas Liquefaction process
ACS Sustainable Chemistry & Engineering, 2018Co-Authors: Muhammad Abdul Qyyum, Kinza Qadee, Moonyong LeeAbstract:Liquefied Natural Gas (LNG) has attracted global attention as a more environmentally friendly 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. In this study, an innovative closed-loop self-cooling recuperation technology was proposed to reduce the exergy losses of the N2 expander LNG process. The LNG process with the implementation of the proposed technology was modeled using a commercial process simulation tool, ASPEN HYSYS v9. Subsequently, a modified coordinate descent optimization algorithm was employed to achieve maximum potential benefits of the proposed technology. The energy efficiency of the proposed LNG process was further improved by energy recovery from end flash Gas and high-pressure Natural Gas feed. Finally, the energy efficiency of the proposed closed-loop self-cooling recuperative...
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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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Closed-Loop Self-Cooling Recuperative N2 Expander Cycle for the Energy Efficient and Ecological Natural Gas Liquefaction Process
2018Co-Authors: Muhammad Abdul Qyyum, Kinza Qadee, Moonyong LeeAbstract:Liquefied Natural Gas (LNG) has attracted global attention as a more environmentally friendly 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. In this study, an innovative closed-loop self-cooling recuperation technology was proposed to reduce the exergy losses of the N2 expander LNG process. The LNG process with the implementation of the proposed technology was modeled using a commercial process simulation tool, ASPEN HYSYS v9. Subsequently, a modified coordinate descent optimization algorithm was employed to achieve maximum potential benefits of the proposed technology. The energy efficiency of the proposed LNG process was further improved by energy recovery from end flash Gas and high-pressure Natural Gas feed. Finally, the energy efficiency of the proposed closed-loop self-cooling recuperative N2 expander LNG process was significantly improved up to 80.5% compared to the existing N2 expander based LNG processes, depending on the feed Natural Gas conditions, composition, and design parameters
