Abstract:Monoethanolamine thermal and oxidative degradation Process modeling Plant design Integrated experimental and modeling study a b s t r a c tThe CO 2 post-combustion capture with amine solvents is modeled as a complex system interconnecting process energy consumption and solvent degradation and emission. Based on own experimental data, monoethanolamine degradation is included into a CO 2 capture process model. The influence of operating conditions on solvent loss is validated with pilot plant data from literatur… Show more
“…Upon an increase in MEA concentration from 25 to 40 wt.%, the reboiler duty decreased by 14%. However, the use of high concentration MEA will considerably increase the degradation rate due to a higher O 2 mass transfer at higher MEA concentrations in the absorber . Moreover, the higher solvent concentration causes an increase in viscosities and diffusion coefficient, thus increasing the operational difficulty in real practice.…”
Section: Process Improvement Of Mea‐based Co2 Capture Processmentioning
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 (CO 2 ) 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 CO 2 absorption and CO 2 stripping process. The model was then employed to guide the systematic study of the MEA-based CO 2 capture process for the reduction in regeneration energy penalty through parameter optimization and process modification. Important process parameters such as MEA concentration, lean CO 2 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 CO 2 . 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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“…Upon an increase in MEA concentration from 25 to 40 wt.%, the reboiler duty decreased by 14%. However, the use of high concentration MEA will considerably increase the degradation rate due to a higher O 2 mass transfer at higher MEA concentrations in the absorber . Moreover, the higher solvent concentration causes an increase in viscosities and diffusion coefficient, thus increasing the operational difficulty in real practice.…”
Section: Process Improvement Of Mea‐based Co2 Capture Processmentioning
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 (CO 2 ) 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 CO 2 absorption and CO 2 stripping process. The model was then employed to guide the systematic study of the MEA-based CO 2 capture process for the reduction in regeneration energy penalty through parameter optimization and process modification. Important process parameters such as MEA concentration, lean CO 2 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 CO 2 . 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.
24
“…Oxidative degradation is normally proportional to the O2 content in the gas being captured [19,20]. When 30 wt% MEA is used for capture CO2 from typical FG after postcombustion, it was found that 1% O2 can result in 0.0135 kg/tCO2 MEA loss and 0.028 mol NH3 emission.…”
Even though all capture technologies developed for capturing CO2 from the utilization of fossil fuels can be applied to capture CO2 from the utilization of biomass, due to the obvious different properties, the performance can also be quite different. This work investigates the differences when using chemical absorption to capture CO2 from the combustion of recycled woods and coal, in order to provide suggestions on the integration of CO2 capture in the utilization of bioenergy and promote the application of bioenergy with CO2 capture and storage (BECCS). Two solvents, Monoethanolamine (MEA) and hot potassium carbonate (HPC), have been included. The results show that the flue gas (FG) from the combustion of recycled wood (RW) has a higher CO2 content, but lower O2, SOx and NOx content compared to the coal fired FG. In comparison to the coal fired FG, capturing CO2 from the RW fired FG requires less energy for both solvents, due to its higher CO2 content. The estimated oxidative and acid gas degradations are higher for FFCCS compared to BECCS, due to the higher O2, SOx and NOx contents in coal fired FG compared to those in the RW fired FG. For HPC process, FG compression work account for the largest part of the total energy consumption. Even though, the reboiler duty of the HPC process is lower than that of the MEA process, the total energy penalty is higher.
“…In the 1990ies, numerous works on energy integration in the industry were realized (e.g., Maréchal et al, 1998) and from the turn of the century, different topics were studied like detailed boiler models (Dumont and Heyen, 2004) and dynamic validation (Ullrich et al, 2010). More recently, environmental issues gained in importance with research in data mining for emission control (Sainlez and Heyen, 2012) and CO 2 capture (Léonard et al, 2015). These last topics are still among the interests of CAPE research at ULg.…”
Section: Dedicated Cape Research and Teaching In The 2 Nd Cyclementioning
The present paper addresses the evolution and perspectives in the teaching of CAPE methods in the Department of Chemical Engineering at the University of Liège. The transition that happened in the 90ies with the arrival of commercial software is highlighted, as the learning outcomes evolved from the ability of building programs to solve chemical engineering problems towards the ability to use complex commercial software and to understand their limitations. Moreover, CAPE methods were extended to non-dedicated CAPE courses, which is illustrated here by the goals and challenges of their use in courses like "Reactor Engineering" and "Life Cycle Analysis". It was observed that students sometimes assume that CAPE softwares provide straightforward and trustworthy solutions without the need of understanding their mathematical bases and assumptions. Thus, solutions to make students aware of these limitations are proposed, including the creation of an integrated project focussing on complex multidisciplinary issues, evidencing the need for critical input from the operator.
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