The Potential of Machine Learning for Enhancing CO2 Sequestration, Storage, Transportation, and Utilization-based Processes: A Brief Perspective
In the paper, we present a review of different types of CO2 capture, storage, transportation,
and utilization (CCSTU) processes. We have also reviewed their further development by …
and utilization (CCSTU) processes. We have also reviewed their further development by …
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 …
Advances in Carbon Capture and Use (CCU) Technologies: A Comprehensive Review and CO2 Mitigation Potential Analysis
One of society's major current challenges is carbon dioxide emissions and their
consequences. In this context, new technologies for carbon dioxide (CO2) capture have …
consequences. In this context, new technologies for carbon dioxide (CO2) capture have …
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 …
A critical review on machine-learning-assisted screening and design of effective sorbents for carbon dioxide (CO2) capture
Z Yang, B Chen, H Chen, H Li - Frontiers in Energy Research, 2023 - frontiersin.org
Effective carbon dioxide (CO2) capture plays indispensable roles in closing the global
carbon cycle, serving the sustainable production of energy, and achieving the grand 1.5° C …
carbon cycle, serving the sustainable production of energy, and achieving the grand 1.5° C …
Toward smart carbon capture with machine learning
Machine learning (ML) is emerging as a powerful approach that has recently shown
potential to affect various frontiers of carbon capture, a key interim technology to assist in the …
potential to affect various frontiers of carbon capture, a key interim technology to assist in the …
An overview of technologies for Capturing, Storing, and utilizing carbon Dioxide: Technology Readiness, large-scale Demonstration, and cost
D Baskaran, P Saravanan, L Nagarajan… - Chemical Engineering …, 2024 - Elsevier
Concerns are growing regarding the impact of human-caused CO 2 emissions on global
warming, which is directly linked to climate change. To achieve carbon neutrality, we must …
warming, which is directly linked to climate change. To achieve carbon neutrality, we must …
Review of technological progress in carbon dioxide capture, storage, and utilization
Emissions of substantial amounts of greenhouse gases (GHG) accumulating in the
atmosphere have caused climate alterations and increased global temperatures. Several …
atmosphere have caused climate alterations and increased global temperatures. Several …
Machine learning-assisted selection of adsorption-based carbon dioxide capture materials
EG Al-Sakkari, A Ragab, TMY So, M Shokrollahi… - Journal of …, 2023 - Elsevier
Recently, carbon capture has gained increased attention as a sustainable way for mitigating
global warming. One of the promising technologies for carbon capture is the adsorption …
global warming. One of the promising technologies for carbon capture is the adsorption …
Carbon capture, utilization and sequestration systems design and operation optimization: Assessment and perspectives of artificial intelligence opportunities
Carbon capture, utilization, and sequestration (CCUS) is a promising solution to
decarbonize the energy and industrial sector to mitigate climate change. An integrated …
decarbonize the energy and industrial sector to mitigate climate change. An integrated …