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Paul Feron - One of the best experts on this subject based on the ideXlab platform.
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systematic study of aqueous monoethanolamine mea based co2 Capture Process techno economic assessment of the mea Process and its improvements
Applied Energy, 2016Co-Authors: Wardhaugh Leigh, Paul Feron, Moses O TadeAbstract:Abstract The present study investigated the technical and economic performance of the monoethanolamine (MEA)-based post-combustion Capture Process and its improvements integrated with a 650-MW coal-fired power station. A rigorous, rate-based model developed in Aspen Plus® was employed to evaluate technical performance, while a comprehensive economic model was used to determine the required capital investment and evaluate economic performance. The techno-economic model was validated with published cost results. Our estimation of the capital investment for the baseline MEA Capture plant was US$1357/kW, with a CO 2 avoided cost of US$86.4/tonne. We then proposed Process improvements such as parameter optimisation, lean/rich heat exchanger optimisation and flow sheet modifications to improve energy and cost performance. The combined Process improvements reduced the capital investment by US$72/kW (a 5.3% saving) while cutting overall energy consumption by 24.5 MW/h (a 13.5% reduction). As a result, the CO 2 avoided cost fell to $75.1/tonne CO 2 , a saving of US$11.3/tonne CO 2 compared with the baseline. Lastly, we performed a sensitivity study and cost breakdown analysis to understand how the CO 2 avoided cost would be apportioned to the economic and technical parameters. The results indicate the directions of technical development to further improve the economic viability of the CO 2 Capture Process.
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systematic study of aqueous monoethanolamine based co2 Capture Process model development and Process improvement
Energy Science & Engineering, 2016Co-Authors: Ashleigh Cousins, Paul Feron, Moses O Tade, Weiliang Luo, Jian ChenAbstract:In this paper, we present improvements to postcombustion Capture (PCC) Processes based on aqueous monoethanolamine (MEA). First, a rigorous, rate-based model of the carbon dioxide (CO2) Capture Process from flue gas by aqueous MEA was developed using Aspen Plus, and validated against results from the PCC pilot plant trials located at the coal-fired Tarong power station in Queensland, Australia. The model satisfactorily predicted the comprehensive experimental results from CO2 absorption and CO2 stripping Process. The model was then employed to guide the systematic study of the MEA-based CO2 Capture Process for the reduction in regeneration energy penalty through parameter optimization and Process modification. Important Process parameters such as MEA concentration, lean CO2 loading, lean temperature, and stripper pressure were optimized. The Process modifications were investigated, which included the absorber intercooling, rich-split, and stripper interheating Processes. The minimum regeneration energy obtained from the combined parameter optimization and Process modification was 3.1 MJ/kg CO2. This study suggests that the combination of a validated rate-based model and Process simulation can be used as an effective tool to guide sophisticated Process plant, equipment design and Process improvement.
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technical and energy performance of an advanced aqueous ammonia based co2 Capture technology for a 500 mw coal fired power station
Environmental Science & Technology, 2015Co-Authors: Kangkang Li, Hai Yu, Paul Feron, Moses O Tade, Leigh WardhaughAbstract:Using a rate-based model, we assessed the technical feasibility and energy performance of an advanced aqueous-ammonia-based postcombustion Capture Process integrated with a coal-fired power station. The Capture Process consists of three identical Process trains in parallel, each containing a CO2 Capture unit, an NH3 recycling unit, a water separation unit, and a CO2 compressor. A sensitivity study of important parameters, such as NH3 concentration, lean CO2 loading, and stripper pressure, was performed to minimize the energy consumption involved in the CO2 Capture Process. Process modifications of the rich-split Process and the interheating Process were investigated to further reduce the solvent regeneration energy. The integrated Capture system was then evaluated in terms of the mass balance and the energy consumption of each unit. The results show that our advanced ammonia Process is technically feasible and energy-competitive, with a low net power-plant efficiency penalty of 7.7%.
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Rate-based modelling of combined SO2 removal and NH3 recycling integrated with an aqueous NH3-based CO2 Capture Process
Applied Energy, 2015Co-Authors: Kangkang Li, Guojie Qi, Moses Tadé, Jingwen Yu, Hai Yu, Paul Feron, Shujuan WangAbstract:To reduce the costs of controlling emissions from coal-fired power stations, we propose an advanced and effective Process of combined SO2 removal and NH3 recycling, which can be integrated with the aqueous NH3-based CO2 Capture Process to simultaneously achieve SO2 and CO2 removal, NH3 recycling and flue gas cooling in one Process. A rigorous, rate-based model for an NH3–CO2–SO2–H2O system was developed and used to simulate the proposed Process. The model was thermodynamically and kinetically validated by experimental results from the open literature and pilot-plant trials, respectively. Under typical flue gas conditions, the proposed Process has SO2 removal and NH3 reuse efficiencies of >99.9%. The Process is strongly adaptable to different scenarios such as high SO2 levels in flue gas, high NH3 levels from the CO2 absorber and high flue gas temperatures, and has a low energy requirement. Because the Process simplifies flue gas desulphurisation and resolves the problems of NH3 loss and SO2 removal, it could significantly reduce the cost of CO2 and SO2 Capture by aqueous NH3.
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rate based modelling of co2 regeneration in ammonia based co2 Capture Process
International Journal of Greenhouse Gas Control, 2014Co-Authors: Shujuan Wang, Leigh Wardhaugh, Paul FeronAbstract:Abstract A rigorous, rate-based model was developed to simulate the regeneration of CO 2 in aqueous ammonia-based CO 2 Capture Process. The model was based on the Aspen RateSep module, which adopts the kinetic, thermodynamic and transport properties of the NH 3 –CO 2 –H 2 O system available in Aspen Plus V7.3. We compared the modelling results with those obtained from pilot-plant trials at the Munmorah Power Station, New South Wales, Australia. The results agreed reasonably well for all 30 cases considered, including the energy requirement for regeneration, stripping temperature, and ammonia concentration in the product. Using the validated model, we then further analysed the pilot plant results to gain insights into the CO 2 regeneration Process.
Shujuan Wang - One of the best experts on this subject based on the ideXlab platform.
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modeling analysis of energy requirement in aqueous ammonia based co2 Capture Process
International Journal of Greenhouse Gas Control, 2015Co-Authors: Shujuan WangAbstract:Abstract Aqueous ammonia is a promising alternative absorbent for CO 2 Capture from the flue gas of coal-fired power plants. The efficiency penalty of aqueous ammonia based CO 2 Capture Process, however, is considerably heavy, resulting from the energy requirement for CO 2 regeneration and NH 3 abatement cycle. The paper focused on the whole Process including CO 2 absorption, CO 2 regeneration, CO 2 compression, NH 3 abatement and NH 3 recovery Process, and analyzed the effects of operating parameters on the energy requirement of this Process with a validated and reliable model. The sensible heat, stripping heat and desorption heat were calculated to gain insights into the regeneration Process. The orthogonal analysis method was then adopted to find out the achievable minimum energy requirement for CO 2 Capture. The minimum energy requirement was identified as 2.89 MJ/kg CO 2 for CO 2 regeneration Process and 4.07 MJ/kg CO 2 for the whole Process.
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Rate-based modelling of combined SO2 removal and NH3 recycling integrated with an aqueous NH3-based CO2 Capture Process
Applied Energy, 2015Co-Authors: Kangkang Li, Guojie Qi, Moses Tadé, Jingwen Yu, Hai Yu, Paul Feron, Shujuan WangAbstract:To reduce the costs of controlling emissions from coal-fired power stations, we propose an advanced and effective Process of combined SO2 removal and NH3 recycling, which can be integrated with the aqueous NH3-based CO2 Capture Process to simultaneously achieve SO2 and CO2 removal, NH3 recycling and flue gas cooling in one Process. A rigorous, rate-based model for an NH3–CO2–SO2–H2O system was developed and used to simulate the proposed Process. The model was thermodynamically and kinetically validated by experimental results from the open literature and pilot-plant trials, respectively. Under typical flue gas conditions, the proposed Process has SO2 removal and NH3 reuse efficiencies of >99.9%. The Process is strongly adaptable to different scenarios such as high SO2 levels in flue gas, high NH3 levels from the CO2 absorber and high flue gas temperatures, and has a low energy requirement. Because the Process simplifies flue gas desulphurisation and resolves the problems of NH3 loss and SO2 removal, it could significantly reduce the cost of CO2 and SO2 Capture by aqueous NH3.
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rate based modelling of co2 regeneration in ammonia based co2 Capture Process
International Journal of Greenhouse Gas Control, 2014Co-Authors: Shujuan Wang, Leigh Wardhaugh, Paul FeronAbstract:Abstract A rigorous, rate-based model was developed to simulate the regeneration of CO 2 in aqueous ammonia-based CO 2 Capture Process. The model was based on the Aspen RateSep module, which adopts the kinetic, thermodynamic and transport properties of the NH 3 –CO 2 –H 2 O system available in Aspen Plus V7.3. We compared the modelling results with those obtained from pilot-plant trials at the Munmorah Power Station, New South Wales, Australia. The results agreed reasonably well for all 30 cases considered, including the energy requirement for regeneration, stripping temperature, and ammonia concentration in the product. Using the validated model, we then further analysed the pilot plant results to gain insights into the CO 2 regeneration Process.
E L V Goetheer - One of the best experts on this subject based on the ideXlab platform.
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understanding aerosol based emissions in a post combustion co2 Capture Process parameter testing and mechanisms
International Journal of Greenhouse Gas Control, 2015Co-Authors: Purvil Khakharia, L Brachert, Jan Mertens, Christopher Anderlohr, Arjen Huizinga, Eva Sanchez Fernandez, Bernd Schallert, Karlheinz Schaber, Thijs J H Vlugt, E L V GoetheerAbstract:Solvent emissions from a Post Combustion CO2 Capture (PCCC) Process can lead to environmental hazards and higher operating cost. Aerosol based emissions in the order of grams per Nm3 have been reported from PCCC plants. These emissions are attributed to the presence of particles such as sulphuric acid aerosol droplets in the flue gas. Recently, we confirmed the relation between particle number concentration in the inlet flue gas and aerosol based emissions of monoethanolamine (MEA) as the solvent. The operating parameters and especially the presence of CO2 were found to influence the extent of aerosol based emissions. In this study, the following parametric experimental tests were performed in a mini CO2 Capture plant: changing the lean solvent temperature, the pH of the lean solvent, and the CO2 concentration in the flue gas. Moreover, other commonly used CO2 Capture solvents, a mixture of 2-amino-2-methyl-propanol (AMP) with piperazine (Pz), and AMP with potassium taurate (KTau), were evaluated for their potential for aerosol formation. Increasing the temperature of the lean solvent resulted in a lowering of the amine emissions. Aerosol based emissions were observed only at a relatively high lean pH. As the CO2 content of the flue gas was reduced from 12.7 to 0.7vol.%, a maximum in the emissions was observed at 6vol.% of CO2. Aerosol based emissions for both AMP (1500-3000mg/Nm3) and Pz (200-400mg/Nm3) were measured, while no aerosol based emissions were observed for AMP-Ktau as a solvent even in the presence of sulphuric acid aerosols in the flue gas. The ratio of AMP:Pz emissions was found to be much lower in the presence of aerosols (5-12) as compared to only volatile emission (~26). This indicated that Pz has a preference to be in the aerosol phase over AMP. Three aspects were found to be important for aerosol based emissions in a CO2 Capture absorber: (i) the particle number concentration, (ii) the supersaturation, and (iii) the reactivity of the amine. These observations add to the existing understanding of aerosol formation and growth by heterogeneous nucleation in counter-current gas liquid absorption Processes, by considering the reactivity of the components.
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online monitoring of the solvent and absorbed acid gas concentration in a co2 Capture Process using monoethanolamine
Industrial & Engineering Chemistry Research, 2014Co-Authors: A C Van Eckeveld, L V Van Der Ham, Leon F G Geers, L J P Van Den Broeke, B J Boersma, E L V GoetheerAbstract:method has been developed for online liquid analysis of the amine and absorbed CO2 concentrations in a postcombustion Capture Process using monoethanolamine (MEA) as a solvent. Online monitoring of the dynamic behavior of these parameters is important in Process control and is currently achieved only using Fourier transform infrared spectroscopy. The developed method is based on cheap and easy measurable quantities. Inverse least-squares models were built at two temperature levels, based on a set of 29 calibration samples with different MEA and CO2 concentrations. Density, conductivity, refractive index, and sonic speed measurements were used as input data. The developed model has been validated during continuous operation of a CO2 Capture pilot miniplant. Concentrations of MEA and CO2 in the liquid phase were predicted with an accuracy of 0.53 and 0.31 wt %, with MEA and CO2 concentrations ranging from 19.5 to 27.7 wt % and from 1.51 to 5.74 wt %, respectively. Process dynamics, like step changes in the CO2 flue gas concentration, were covered accurately, as well. The model showed good robustness to changes in temperature. Combining density, conductivity, refractive index, and sonic speed measurements with a multivariate chemometric method allows the real-time and accurate monitoring of the acid gas and MEA concentrations in CO2 absorption Processes.
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integration between a demo size post combustion co2 Capture and full size power plant an integral approach on energy penalty for different Process options
International Journal of Greenhouse Gas Control, 2012Co-Authors: Ferran De Miguel Mercader, Eva Sanchez Fernandez, Guido Magneschi, Gerard Stienstra, E L V GoetheerAbstract:CO2 Capture based on post-combustion Capture has the potential to significantly reduce the CO2 emissions from coal-fired power plants. However, this Capture Process reduces considerably the energy efficiency of the power plant. To reduce this energy penalty, this paper studies different post-combustion CO2 Capture Process configurations combined with different levels of heat integration with the power plant. The cases studied were based on a 1070 MWe power plant connected to a demo size Capture plant (250 MWe equivalent – approximately 1.1 Mton CO2 Captured/year). The integral evaluation of the energy needed for the Capture plant together with the electrical and heat integration with the power plant is a suitable methodology for determining overall power plant efficiency. This approach gives a good overview of the effect of different Capture options and integration levels, that cannot be obtained when evaluated independently.
Jinyue Yan - One of the best experts on this subject based on the ideXlab platform.
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a novel ammonia based co2 Capture Process hybrid ammonia absorption refrigeration
Energy Procedia, 2017Co-Authors: Fu Wang, Shuai Deng, Jun Zhao, Jinyue YanAbstract:This paper proposed a novel ammonia-based CO2 Capture Process hybrid ammonia absorption refrigeration to recovery escaped ammonia in the desorption Process. The evaporated ammonia was separated wit ...
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characterization of flue gas in oxy coal combustion Processes for co2 Capture
Applied Energy, 2012Co-Authors: Jinyue YanAbstract:Oxy-coal combustion is one of the technical solutions for mitigating CO2 in thermal power plants. For designing a technically viable and economically effective CO2 Capture Process, effects by coals ...
Paitoon Tontiwachwuthikul - One of the best experts on this subject based on the ideXlab platform.
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application of neuro fuzzy modeling technique for operational problem solving in a co2 Capture Process system
International Journal of Greenhouse Gas Control, 2013Co-Authors: Qing Zhou, Christine W. Chan, Paitoon Tontiwachwuthikul, Don GelowitzAbstract:Abstract A good understanding about relationships among key Process parameters is important in optimizing operation and enhancing efficiency of the CO 2 Capture Process system. This understanding would enable the operator to better analyze Process conditions and become aware of ongoing trends or events so that timely and effective control actions can be taken for adjusting the relevant Process parameters and efficiency of plant operations can be enhanced. The studies that focused on exploring the key parameters of the amine-based post-combustion CO 2 Capture Process system implemented at the International Test Center of CO 2 Capture (ITC) have revealed that among multiple data modeling techniques adopted, the adaptive-network-based fuzzy inference system (ANFIS) modeling approach generated satisfactory models for adequately describing the Process system. This paper presents development and application of the four ANFIS models for solving four real-life problems encountered in operation of the CO 2 Capture Process system. The testing results of the four developed models show that they can be applied for satisfactory solution of these problems. Some lessons and observations made during the application Process are also discussed.
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application of three artificial intelligence techniques for operational problem solving in a co 2 Capture Process system
International Workshop on Advanced Computational Intelligence, 2011Co-Authors: Qing Zhou, Christine W. Chan, Paitoon Tontiwachwuthikul, Yuxiang Wu, Don GelowitzAbstract:A good understanding of the key Process parameters and their intricate relationships is critical for improving effectiveness and efficiency of the post combustion CO 2 Capture Process. The knowledge can help operators with prediction, control and decision-making. Although some critical parameters of the CO 2 Capture Process, such as reboiler heat duty, have been discussed in the previous research, their significances of influence and the nature of their relationships that affects efficiency of the CO 2 Capture Processes are not studied. This paper presents a study on exploring the key parameters of the amine-based post combustion CO 2 Capture Process system at the International Test Centre of CO 2 Capture (ITC) located in Regina, Saskatchewan of Canada. Three artificial intelligence (AI) techniques of sensitivity analysis (SA), artificial neural network (ANN), and neuro-fuzzy modeling were applied for modeling the historical data to identify the relationships among the key parameters. The knowledge obtained in this data modeling study can be useful for tackling the challenges in operation of the Process system.
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from neural network to neuro fuzzy modeling applications to the carbon dioxide Capture Process
Energy Procedia, 2011Co-Authors: Qing Zhou, Christine W. Chan, Paitoon TontiwachwuthikulAbstract:Abstract Research on improving efficiency of the amine-based post combustion carbon dioxide (CO 2 ) Capture Process has been ongoing during the past decade. A good understanding of the intricate relationships among parameters involved in the CO 2 Capture Process is important for Process optimization. The objective of this study is to uncover relationships among the significant parameters impacting CO 2 production by modeling the historical real-time Process data. The data were collected from the amine-based post combustion CO 2 Capture Process at the International Test Centre of CO 2 Capture (ITC) located in Regina, Saskatchewan of Canada. Relevant literature review and opinions from the experienced engineers of the ITC CO 2 Capture plant suggested that the four parameters of reboiler heat duty, lean loading, CO 2 absorption efficiency and CO 2 production rate are the key parameters for assessing efficiency of the Process. The eight Process parameters that influence these four consequent or output parameters were identified as the conditional or input parameters. In this study, two artificial intelligence techniques were applied for modeling the relationships among the conditional and consequent parameters: (1) artificial neural network combined with sensitivity analysis and (2) neuro-fuzzy modeling. The results from the two modeling Processes were compared, and it was observed that the neuro-fuzzy modeling technique was able to achieve on average higher accuracies than the combined approach of neural network modeling and sensitivity analysis.