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Understanding and Modelling the Effect of Dissolved Metals on Solvent Degradation in Post Combustion CO2 Capture Based on Pilot Plant Experience

Authors: Sanjana Dhingra; Purvil Khakharia; Alexander Rieder; Ashleigh Cousins; Alicia Reynolds; Jacob Knudsen; Jimmy Andersen; +5 Authors

Understanding and Modelling the Effect of Dissolved Metals on Solvent Degradation in Post Combustion CO2 Capture Based on Pilot Plant Experience

Abstract

Oxidative degradation is a serious concern for upscaling of amine-based carbon capture technology. Different kinetic models have been proposed based on laboratory experiments, however the kinetic parameters included are limited to those relevant for a lab-scale system and not a capture plant. Besides, most of the models fail to recognize the catalytic effect of metals. The objective of this work is to develop a representative kinetic model based on an apparent auto-catalytic reaction mechanism between solvent degradation, corrosion and ammonia emissions. Measurements from four different pilot plants: (i) EnBW’s plant at Heilbronn, Germany (ii) TNO’s plant at Maasvlakte, The Netherlands; (iii) CSIRO’s plants at Loy Yang and Tarong, Australia and (iv) DONG Energy’s plant at Esbjerg, Denmark are utilized to propose a degradation kinetic model for 30 wt % ethanolamine (MEA) as the capture solvent. The kinetic parameters of the model were regressed based on the pilot plant campaign at EnBW. The kinetic model was validated by comparing it with the measurements at the remaining pilot campaigns. The model predicted the trends of ammonia emissions and metal concentration within the same order of magnitude. This study provides a methodology to establish a quantitative approach for predicting the onset of unacceptable degradation levels which can be further used to devise counter-measure strategies such as reclaiming and metal removal.

Countries
Belgium, Netherlands
Keywords

FLUE-GAS, Technology, Solid & Fluid Mechanics, post combustion carbon capture; oxidative degradation; auto-catalytic; iron; kinetic model; pilot campaigns, Combustion, Degradation, iron, Post-combustion carbon capture, CARBON-CAPTURE, OXIDATIVE-DEGRADATION, Kinetic theory, EMISSIONS, Pilot plants, TS - Technical Sciences, Auto-catalytic, POWER-PLANT, MEA, T, pilot campaigns, kinetic model, oxidative degradation, MONOETHANOLAMINE DEGRADATION, Ethanolamines, Metals, auto-catalytic, Kinetic parameters, post combustion carbon capture, Pilot campaigns, FLY-ASH, Technology and Engineering, Kinetic modeling, Iron, THERMAL-DEGRADATION, Environment, Catalysis, Ammonia, Oxidative degradation, PERFORMANCE, SPE - Sustainable Process and Energy Systems, Earth and Environmental Sciences, Solvents, Carbon capture

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Top 10%
gold