Covalent organic frameworks for CO 2 capture: from laboratory curiosity to industry implementation
CO2 concentration in the atmosphere has increased by about 40% since the 1960s. Among
various technologies available for carbon capture, adsorption and membrane processes …
various technologies available for carbon capture, adsorption and membrane processes …
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 …
Performance-based screening of porous materials for carbon capture
Computational screening methods have changed the way new materials and processes are
discovered and designed. For adsorption-based gas separations and carbon capture, recent …
discovered and designed. For adsorption-based gas separations and carbon capture, recent …
How Can (or Why Should) Process Engineering Aid the Screening and Discovery of Solid Sorbents for CO2 Capture?
Conspectus Adsorption using solid sorbents is emerging as a serious contender to amine-
based liquid absorption for postcombustion CO2 capture. In the last 20+ years, significant …
based liquid absorption for postcombustion CO2 capture. In the last 20+ years, significant …
Process-informed adsorbent design guidelines for direct air capture
Direct air capture using solid adsorbents is a proven technology critical to reducing our net
greenhouse gas emissions to zero and beyond. Currently, academic research into the …
greenhouse gas emissions to zero and beyond. Currently, academic research into the …
[HTML][HTML] Exploring artificial neural network approach and RSM modeling in the prediction of CO2 capture using carbon molecular sieves
In this work, adsorption and reduction of CO 2 by carbon molecular sieves (CMS) was
modeled using response surface methodology (RSM) and artificial neuron networks (ANNs) …
modeled using response surface methodology (RSM) and artificial neuron networks (ANNs) …
[HTML][HTML] Biogas upgrading by adsorption processes: Mathematical modeling, simulation and optimization approach–A review
Biogas is attracting more attention as a viable energy carrier and enabler for sustainable
developments. Upon rapid increase in the size and number of biogas plants around the …
developments. Upon rapid increase in the size and number of biogas plants around the …
Engineering metal–organic frameworks for adsorption-based gas separations: From process to atomic scale
Metal–organic frameworks (MOFs) are the object of intense research targeting their
deployment as adsorbents for a wide range of gas separations, such as CO2 capture …
deployment as adsorbents for a wide range of gas separations, such as CO2 capture …
[HTML][HTML] Machine learning based modelling and optimization of post-combustion carbon capture process using MEA supporting carbon neutrality
WM Ashraf, V Dua - Digital Chemical Engineering, 2023 - Elsevier
The role of carbon capture technology using monoethanolamine (MEA) is critical for
achieving the carbon-neutrality goal. However, maintaining the efficient operation of the post …
achieving the carbon-neutrality goal. However, maintaining the efficient operation of the post …
Accelerated Discovery of Metal–Organic Frameworks for CO2 Capture by Artificial Intelligence
The existence of a very large number of porous materials is a great opportunity to develop
innovative technologies for carbon dioxide (CO2) capture to address the climate change …
innovative technologies for carbon dioxide (CO2) capture to address the climate change …