TY - JOUR
T1 - Machine learning for industrial processes
T2 - Forecasting amine emissions from a carbon capture plant
AU - Jablonka, Kevin Maik
AU - Charalambous, Charithea
AU - Sanchez Fernandez, Eva
AU - Wiechers, Georg
AU - Monteiro, Juliana
AU - Moser, Peter
AU - Smit, Berend
AU - Garcia, Susana
N1 - Publisher Copyright:
Copyright © 2023 The Authors, some rights reserved;
PY - 2023/1/4
Y1 - 2023/1/4
N2 - One of the main environmental impacts of amine-based carbon capture processes is the emission of the solvent into the atmosphere. To understand how these emissions are affected by the intermittent operation of a power plant, we performed stress tests on a plant operating with a mixture of two amines, 2-amino-2-methyl-1-propanol and piperazine (CESAR1). To forecast the emissions and model the impact of interventions, we developed a machine learning model. Our model showed that some interventions have opposite effects on the emissions of the components of the solvent. Thus, mitigation strategies required for capture plants operating on a single component solvent (e.g., monoethanolamine) need to be reconsidered if operated using a mixture of amines. Amine emissions from a solvent-based carbon capture plant are an example of a process that is too complex to be described by conventional process models. We, therefore, expect that our approach can be more generally applied.
AB - One of the main environmental impacts of amine-based carbon capture processes is the emission of the solvent into the atmosphere. To understand how these emissions are affected by the intermittent operation of a power plant, we performed stress tests on a plant operating with a mixture of two amines, 2-amino-2-methyl-1-propanol and piperazine (CESAR1). To forecast the emissions and model the impact of interventions, we developed a machine learning model. Our model showed that some interventions have opposite effects on the emissions of the components of the solvent. Thus, mitigation strategies required for capture plants operating on a single component solvent (e.g., monoethanolamine) need to be reconsidered if operated using a mixture of amines. Amine emissions from a solvent-based carbon capture plant are an example of a process that is too complex to be described by conventional process models. We, therefore, expect that our approach can be more generally applied.
UR - http://www.scopus.com/inward/record.url?scp=85145541934&partnerID=8YFLogxK
U2 - 10.1126/sciadv.adc9576
DO - 10.1126/sciadv.adc9576
M3 - Article
C2 - 36598993
SN - 2375-2548
VL - 9
JO - Science Advances
JF - Science Advances
IS - 1
M1 - eadc9576
ER -