Working Smarter: Leveraging Machine Learning to Optimize CO2 Adsorption

Working Smarter: Leveraging Machine Learning to Optimize CO2 Adsorption

ByThe Circular Economy Team

Scientists employ artificial intelligence to guide the design of biomass waste-derived novel materials for CO2 capture
Biomass waste can be used to produce porous carbons capable of sequestering CO2 gas emitted from large point sources (e.g., power plants, cement industries). However, there are no general guidelines on how such high-quality porous carbons should be synthesized or their optimal operational conditions. In a recent study, scientists employed machine learning-based method to determine which core factors should be prioritized in biomass waste-derived porous carbons to achieve the best CO2 adsorption performance, paving the way to a circular economy. 

Teco 2030 Cooperates With Chart Industries To Develop Marine Carbon Capture And Storage Solutions

Teco 2030 Cooperates With Chart Industries To Develop Marine Carbon Capture And Storage Solutions

ByThe Circular Economy Team

TECO 2030 ASA has signed a Memorandum of Understanding with Chart Industries, Inc. to jointly develop technological solutions that will capture carbon dioxide (CO2) emitted by ships and subsequently store it in liquid form. “When the new CO2 capture integration that we are collaborating with Chart Industries, Inc. and Sustainable Energy Solutions (SES) on is ready, it will enable ships to capture and store the CO2 that they would otherwise have emitted into the air, and which would thereby have contributed to climate change,” says Stian Aakre, CEO of TECO 2030 AS.