Harnessing the power of machine learning for carbon capture, utilisation, and storage (CCUS)–a state-of-the-art review
Carbon capture, utilisation and storage (CCUS) will play a critical role in future
decarbonisation efforts to meet the Paris Agreement targets and mitigate the worst effects of …
decarbonisation efforts to meet the Paris Agreement targets and mitigate the worst effects of …
Role of solvents in CO2 capture processes: The review of selection and design methods
TN Borhani, M Wang - Renewable and Sustainable Energy Reviews, 2019 - Elsevier
Solvent selection and design are imperative in the CO 2 capture process. The efficiency and
the overall cost of the process are directly affected by the solvent as a consequence of the …
the overall cost of the process are directly affected by the solvent as a consequence of the …
[HTML][HTML] Modeling and optimization of CO2 capture into mixed MEA-PZ amine solutions using machine learning based on ANN and RSM models
Carbon dioxide (CO 2) sequestration by chemical absorption is widely regarded as the most
effective method for its reduction in natural gas streams or flue gases from fossil fuel power …
effective method for its reduction in natural gas streams or flue gases from fossil fuel power …
Experimental Modeling and Optimization of CO2 Absorption into Piperazine Solutions Using RSM-CCD Methodology
The present work evaluates and optimizes CO2 absorption in a bubble column for the Pz-
H2O–CO2 system. We analyzed the impact of the different operating conditions on the …
H2O–CO2 system. We analyzed the impact of the different operating conditions on the …
The application of polymer containing materials in CO2 capturing via absorption and adsorption methods
The ascending concentration of atmospheric carbon dioxide resulting from fossil fuel
combustions causes global climate change and a significant environmental problems in our …
combustions causes global climate change and a significant environmental problems in our …
Modeling and optimization of CO2 mass transfer flux into Pz-KOH-CO2 system using RSM and ANN
In this research, artificial neural networks (ANN) and response surface methodology (RSM)
were applied for modeling and optimization of carbon dioxide (CO2) absorption using KOH …
were applied for modeling and optimization of carbon dioxide (CO2) absorption using KOH …
CO2 and H2S absorption in aqueous MDEA with ethylene glycol: Electrolyte NRTL, rate-based process model and pilot plant experimental validation
K Gonzalez, L Boyer, D Almoucachar, B Poulain… - Chemical Engineering …, 2023 - Elsevier
Acid gas absorption with aqueous amines is an important industrial technology for natural or
flue gas treatment. To lower the high energy required for the regeneration process it has …
flue gas treatment. To lower the high energy required for the regeneration process it has …
Leveraging machine learning in porous media
The emergence of artificial intelligence (AI) and, more particularly, machine learning (ML),
has had a significant impact on engineering and the fundamental sciences, resulting in …
has had a significant impact on engineering and the fundamental sciences, resulting in …
Machine learning in absorption-based post-combustion carbon capture systems: A state-of-the-art review
The enormous consumption of fossil fuels from various human activities leads to a significant
amount of anthropogenic CO 2 emission into the atmosphere, which has already massively …
amount of anthropogenic CO 2 emission into the atmosphere, which has already massively …
[HTML][HTML] From hybrid solvents to water-lean solvents–A critical and historical review
Every year, a plethora of studies focused on developing water-lean solvents for CO 2
capture is published in the scientific literature. More often than not, these studies lack a …
capture is published in the scientific literature. More often than not, these studies lack a …