Carbon Capture From Flue Gas and the Atmosphere: A Perspective

Abstract

Climate change has become a worldwide concern with the rapid rise of the atmospheric Co2 concentration. To mitigate Co2 emissions, the research and development efforts in Co2 capture and separation both from the stationary sources with high Co2 concentrations (e.g., coal-fired power plant flue gas) and directly from the atmosphere have grown significantly. Much progress has been achieved, especially within the last twenty years. In this perspective, we first briefly review the current status of carbon capture technologies including absorption, adsorption, membrane, biological capture, and cryogenic separation, and compare their advantages and disadvantages. Then, we focus mainly on the recent advances in the absorption, adsorption, and membrane technologies. Even though numerous optimizations in materials and processes have been pursued, implementing a single separation process is still quite energy-intensive or costly. To address the challenges, we provide our perspectives on future directions of Co2 capture research and development, that is, the combination of flue gas recycling and hybrid capture system, and one-step integrated Co2 capture and conversion system, as they have the potential to overcome the technical bottlenecks of single capture technologies, offering significant improvement in energy efficiency and cost-effectiveness.

CO2 supply modulates lipid remodelling, photosynthetic and respiratory activities in Chlorella species

“…We discuss the metabolic consequence of the different photosynthetic and respiratory responses to high or low CO 2 levels in two Chlorella genus. It worth to note that CO 2 concentration in flue gases can reach higher concentration than 3%, being usually in the 10–20% range (X. Wang & Song, 2020 ). Previous work demonstrated that increase CO 2 availability in the range of 1–8% saturated biomass productivity in C. vulgaris , while higher CO 2 concentration caused a strong reduction in biomass yield (Garcia‐Cubero et al, 2018 ).…”

Chemoinformatics-Driven Design of New Physical Solvents for Selective CO2 Absorption

“…XGBoost (XGB): XGBoost algorithm 86 as implemented in XGBoost python module (v.1.2.0) 87 was used. The following hyperparameters were tuning during optimization (grid search): number of trees (50, 100, 300, 500), number of features (all features, 70% of all features), number of samples (all samples, 70% of all samples), the maximum depth of the tree (3,5,10), learning rate (0.3, 0.1, 0.5, 0.05), the minimum sum of instance weight needed in a node (1,5,10). All other parameters were left as default.…”

Potassium carbonate-based ternary transition temperature mixture (deep eutectic analogues) for CO2 absorption: Characterizations and DFT analysis

“…academics and industry, notably in China. It is anticipated that the CO 2 concentration will reach 900-1100 ppm if we will not take immediate and major actions to reduce the CO 2 emissions (Wang and Song, 2020) and the temperature will rise 5°C by the century's end (Pachauri and Reisinger, 2007). As a result, it is necessary to reduce CO 2 emissions from stationeries especially fossil fuel power plants.…”