The Experts below are selected from a list of 108 Experts worldwide ranked by ideXlab platform
Diana Luciana Cursaru - One of the best experts on this subject based on the ideXlab platform.
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technical and economic evaluations of the triethylene glycol regeneration processes in natural gas dehydration plants
Journal of Natural Gas Science and Engineering, 2017Co-Authors: Mihaela Neagu, Diana Luciana CursaruAbstract:Abstract A conventional natural gas dehydration plant and one based on striping gas concept, which employs triethylene glycol (TEG) as the dehydrating agent, were simulated using a steady state simulator (UniSim Design). The main units were included in the flowsheets, namely: absorber, flash units, heat exchangers, regenerator, and Reboiler. All simulations were performed of about 25 L TEG/kg water absorbed. The equation of state (EOS) used in the simulation is the Peng Robinson (PR). The Reboiler Temperature of conventional regenerator and then the hot stripping gas flowrate, have been studied for their response to changes in the regenerated TEG concentration, dew point of sale gases, TEG losses (make-up), regenerator overhead vapor flowrate, and partial pressure of water vapor. Despite the increase in plant complexity, the fixed capital investment estimation proves an insignificant costs increase of the stripping gas configuration over the benchmark. It appears that stripping gas is a more effective way to improve the regenerated TEG concentration and entire dehydration plant performance.
Maria Regina - One of the best experts on this subject based on the ideXlab platform.
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Lactic Acid Purification By Reactive Distillation System Using Design Of Experiments
2016Co-Authors: Patricia Fazzio, Etania Hoss, Maria ReginaAbstract:In this study, lactic acid purification using reactive distillation system was evaluated. Factorial experimental design is used to evaluate the influence of parameters and their interactions, such as ethanol/lactic acid molar ratio, Reboiler Temperature and catalyst concentration on yield of lactate. The results showed that the process for lactic acid purification proposed in this work, provides large potential to achieve high yield of ethyl lactate (-100%) and lactic acid with 3 times higher concentration than the raw material. (C) 2015 Elsevier B.V. All rights reserved
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Evaluation Of Operational Parameters For Ethyl Lactate Production Using Reactive Distillation Process
MILANO, 2016Co-Authors: Jaive E., Luisa F., Patricia F., Etania H., Johna A. R., Maria ReginaAbstract:Ethyl lactate is an environmentally bio-based solvent with a wide range of industrial applications. In this work, ethyl lactate was produced by synthesis using reactive distillation process. Through factorial experimental design, the influence of operating conditions as molar ratio ethanol: lactic acid, Reboiler Temperature and catalyst concentration on ethyl lactate were evaluated. A mathematical model was developed in order to describe the response of interest as function of operating conditions. The experimental results showed that the reactive distillation seems to be an alternative and simple energy-saving process with lower investment and operation costs to obtain ethyl lactate which normally requires a stage to the reaction and a stage to the reaction products separation. Each additional step in the downstream represents an increase in the operating and equipment investment costs.431141114
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Lactic Acid Purification By Reactive Distillation System Using Design Of Experiments
LAUSANNE, 2016Co-Authors: Patricia Fazzio, Etania Hoss, Maria ReginaAbstract:Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)In this study, lactic acid purification using reactive distillation system was evaluated. Factorial experimental design is used to evaluate the influence of parameters and their interactions, such as ethanol/lactic acid molar ratio, Reboiler Temperature and catalyst concentration on yield of lactate. The results showed that the process for lactic acid purification proposed in this work, provides large potential to achieve high yield of ethyl lactate (-100%) and lactic acid with 3 times higher concentration than the raw material. (C) 2015 Elsevier B.V. All rights reserved.952630Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)FAPESP [2012/17501-0
Mihaela Neagu - One of the best experts on this subject based on the ideXlab platform.
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technical and economic evaluations of the triethylene glycol regeneration processes in natural gas dehydration plants
Journal of Natural Gas Science and Engineering, 2017Co-Authors: Mihaela Neagu, Diana Luciana CursaruAbstract:Abstract A conventional natural gas dehydration plant and one based on striping gas concept, which employs triethylene glycol (TEG) as the dehydrating agent, were simulated using a steady state simulator (UniSim Design). The main units were included in the flowsheets, namely: absorber, flash units, heat exchangers, regenerator, and Reboiler. All simulations were performed of about 25 L TEG/kg water absorbed. The equation of state (EOS) used in the simulation is the Peng Robinson (PR). The Reboiler Temperature of conventional regenerator and then the hot stripping gas flowrate, have been studied for their response to changes in the regenerated TEG concentration, dew point of sale gases, TEG losses (make-up), regenerator overhead vapor flowrate, and partial pressure of water vapor. Despite the increase in plant complexity, the fixed capital investment estimation proves an insignificant costs increase of the stripping gas configuration over the benchmark. It appears that stripping gas is a more effective way to improve the regenerated TEG concentration and entire dehydration plant performance.
Wang M. - One of the best experts on this subject based on the ideXlab platform.
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Nonlinear model predictive control (NMPC) of the solvent-based post-combustion CO2 capture process
'Elsevier BV', 2020Co-Authors: Akinola T.e., Oko E., Wu X., Ma K., Wang M.Abstract:The flexible operation capability of solvent-based post-combustion capture (PCC) process is vital to efficiently meet the load variation requirement in the integrated upstream power plant. This can be achieved through the deployment of an appropriate control strategy. In this paper, a nonlinear model predictive control (NMPC) system was developed and analysed for the solvent-based PCC process. The PCC process was represented as a nonlinear autoregressive with exogenous (NARX) inputs model, which was identified through the forward regression with orthogonal least squares (FROLS) algorithm. The FROLS algorithm allows the selection of an accurate model structure that best describes the dynamics of the process. The simulation results showed that the NMPC gave better performance compared with linear MPC (LMPC) with an improvement of 55.3% and 17.86% for CO2 capture level control under the scenarios considered. NMPC also gave a superior performance for Reboiler Temperature control with the lowest ISE values. The results from this work will support the development and implementation of NMPC strategy on the PCC process with reduced computational time and burden
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Process modelling, validation and analysis of rotating packed bed stripper in the context of intensified CO2 capture with MEA
'Elsevier BV', 2019Co-Authors: Orhani T.n., Oko E., Wang M.Abstract:Rotating packed bed (RPB) system has applications in CO2 removal using chemical solvents which can reduce the size about ten times compared to common packed bed (PB) system. In this study, RPB stripper using monoethanolamine (MEA) solution is modelled in gPROMS® software. The model has been validated using experimental data from literature and show good agreement. In addition to stripper modelling and validation, the process analysis is accomplished in this study by assessing the influence of four parameters namely rotor speed, Reboiler Temperature, flow rate of rich liquid, and pressure on desorption efficiency and desorption energy
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Application of piece-wise linear system identification to solvent-based post-combustion carbon capture
'Elsevier BV', 2018Co-Authors: Liao P., Wang M., Wu X., Li Y., She J., Lawal A., Xu C.Abstract:Solvent-based post-combustion carbon capture (PCC) is currently the most promising method to reduce CO2 emission. To achieve a plant-wide controller for flexible operation, it is necessary to develop a data-driven model to understand the dynamic characteristics of PCC plant. This paper aims to: (i) carry out system identification to develop a data-driven model and (ii) provide insights into the nonlinear dynamics among the key variables from the PCC process in a wide operating range. These key variables include: CO2 capture rate, Reboiler Temperature, condenser Temperature and lean solvent Temperature. Pilot-scale PCC process implemented in gCCS was used to generate simulation data for system identification and model comparison. Linear single-input-single-output (SISO) transfer function models were firstly developed at different capture rates. Open loop step tests on identified models were then introduced to report the dynamics of key variables in various operating conditions and to indicate the level of system nonlinearity graphically. The nonlinearity analysis was carried out to investigate the system nonlinearity distribution in a quantitative manner. Based on the nonlinearity analysis, a multi-input-multi-output (MIMO) piece-wise model was proposed to simulate the nonlinear characteristics of PCC plant. The piece-wise model shows a satisfactory agreement with gCCS simulation data. Results of this study successfully demonstrate the nonlinear behavior of the solvent-based PCC process, which can be applied in the design of flexible plant-wide controllers
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Modelling, simulation and analysis of intensified regenerator for solvent based carbon capture using rotating packed bed technology
'Elsevier BV', 2017Co-Authors: Joel A.s., Wang M., Ramshaw C., Oko E.Abstract:Intensified regenerator/stripper using rotating packed bed (RPB) for regeneration of rich-MEA solvent in post-combustion CO2 capture with chemical absorption process was studied through modelling and simulation in this paper. This is the first systematic study of RPB regenerator through modelling as there is no such publication in the open literature. Correlations for liquid and gas mass transfer coefficients, heat transfer coefficient, liquid hold-up, interfacial area and pressure drop which are suitable for RPB regenerator were written in visual FORTRAN as subroutines and then dynamically linked with Aspen Plus® rate-based model to replace the default mass and heat transfer correlations in the Aspen Plus®. The model now represents intensified regenerator/stripper. Model validation shows good agreement between model predictions and experimental data from literature. Process analyses were performed to investigate the effect of rotor speed on the regeneration efficiency and regeneration energy (including motor power). The rotor speed was varied from 200 to 1200 rpm, which was selected to cover the validation range of rotor speed. Impact of Reboiler Temperature on the rate of CO2 stripping was also investigated. Effect of rich-MEA flow rate on regeneration energy and regeneration efficiency was studied. All the process analyses were done for wide range of MEA concentration (32.6 wt%, 50 wt% and 60 wt%). Comparative study between regenerator using packed column and intensified regenerator using RPB was performed and the study shows a size reduction of 9.691 times. This study indicates that RPB process has great potential in thermal regeneration application
Hanne M. Kvamsdal - One of the best experts on this subject based on the ideXlab platform.
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benchmarking and comparing first and second generation post combustion co2 capture technologies
Energy Procedia, 2014Co-Authors: Philip Loldrup Fosbol, Sören Ehlers, Jozsef Gaspar, Patrick Briot, Michiel Nienoord, Purvil Khakharia, Yann Le Moullec, Alfons Kather, Olaf Trygve Berglihn, Hanne M. KvamsdalAbstract:Abstract The Octavius FP7 project focuses on demonstration of CO 2 capture for zero emission power generation. As part of this work many partners are involved using different rate based simulation tools to develop tomorrow's new power plants. A benchmarking is performed, in order to synchronize accuracy and quality control the used modeling tools. The aim is to have 6 independent partners produce results on simulation tasks which are well defined in this work. The results show the performance of a typical simulation tool ranging from in-house process simulator to Aspen Plus® and combination of the two, using CAPE-Open. Definitions of the models are outlined describing the used assumptions on mass transfer correlations, hydraulics, thermodynamic models, kinetics, and property packages. A sensitivity study is carried out for absorption and desorption which shows the performance of capture percentage, specific Reboiler duties, loading of rich and lean solutions, pressure drop, flooding, concentration and Temperature profiles, product purity, and condenser performance. The overall conclusion is that most predicted properties vary in the order of 5-10% percent, often more than accuracy in experimental pilot plant measurements. There is a general good resemblance between modeling results. A few important properties like specific Reboiler duty and Reboiler Temperature plus concentration and Temperature profiles vary more than expected. Also high flooding scenarios in the stripper are difficult cases. Efficiencies are discussed as part of the summary. Recommendations for modeling principles and best practice are given.
