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Efficient capture and utilization of CO₂ is the key to achieving carbon peak and neutrality. This study used the radial basis function neural network and extreme gradient boosting regression to build the regression models about CO₂ adsorption uptake based on variable temperature and pressure swing...

Bottom-up initiatives are as important as top-down measures for accelerating the circular economy transition in cities. To highlight this, the primary objective of this research is to estimate the avoided emissions through the direct reuse of household items facilitated by ReStore. The non-profit...

The escalating demand for efficient and sustainable carbon capture and storage technologies requires robust materials capable of withstanding the challenging temperature and pressure conditions encountered in CO₂ transport systems. To address this need, this research investigates the suitability of...

The paper presents a test facility for the CO₂ capture from flue gases generated by pulverised coal combustion. The operation of the facility is based on the Moving Bed Temperature Swing Adsorption (MBTSA) process. Activated carbon is used as the adsorbent. The paper is the first to present the...

The secondary current distribution in industrial aluminium cells with prebaked anodes was calculated, taking into account the gas bubbles. The input data were obtained on the basis of a physical model and data suggested in the literature. The bubbles were modelled in the following manner: (i) as...

Artificial Intelligence (AI) and its ethical implications are not new for academia and business. Challenges of embedding principles for ethical AI in practice are obvious and even though the gap between theory and practice is decreasing, it does not meet the urgent need for responsible technology...