Carbon Dioxide Capture Research Articles

ZIF-8 and ZIF-67 as catalysts for promoting carbon dioxide capture based on monoethanolamine solution

ZIF-8 and ZIF-67 as catalysts for promoting carbon dioxide capture based on monoethanolamine solution

Development of multi-channel nanofibrous molecular sieves with aerogel structure for efficient carbon dioxide capture

Development of multi-channel nanofibrous molecular sieves with aerogel structure for efficient carbon dioxide capture

Energy efficient carbon dioxide capture with thermomorphic solvents at lower cycle temperatures

Energy efficient carbon dioxide capture with thermomorphic solvents at lower cycle temperatures

Construction of low-energy regenerative bagasse-based carbon capture material for high efficiency CO2 capture.

Construction of low-energy regenerative bagasse-based carbon capture material for high efficiency CO2 capture.

Study on the mechanism of competitive adsorption on the surface of potassium carbonate during direct air capture process

Study on the mechanism of competitive adsorption on the surface of potassium carbonate during direct air capture process

A novel algorithm for modeling gas–oil dynamic interfacial tension (IFT) and component exchange mechanisms

Interfacial tension (IFT) between two immiscible phases is a key parameter in various oil and gas industries, especially in enhanced oil recovery and Carbon dioxide capture and storage. There are several laboratory methods for measuring IFT, of which the pendant drop method is one of the most commonly used. This method can be used in both thermodynamic equilibrium and dynamic approaches. For a more complete study of IFT, dynamic pendant drop modeling can be used to investigate the process of component exchange between two phases to determine the mechanism of thermodynamic equilibrium. For this purpose, a novel computational algorithm is presented that calculates IFT under dynamic (non-thermodynamic equilibrium) conditions at different time intervals, where each time step is separately considered in equilibrium. Vapor–liquid equilibrium calculations were performed using the Peng–Robinson equation of state (PR-EOS), and the IFT was calculated using the Parachor model. The power parameter of the proposed Parachor model was also considered a matching parameter and was calculated using the fit of the model and the experimental data. Over time, the component exchange between oil and gas increases, thereby reducing the IFT. This decreasing process of IFT continues until it reaches a constant (thermodynamic equilibrium) value. In each time step, the exchangeable components between the two phases are calculated, and their transfer directions are determined. The results show that the component exchange rate between the two phases differed at any time. However, the process of intermediate component exchange between the two phases was intense at the beginning of the experiment, but gradually, as time passed and components were exchanged between the two phases, the component exchange rate decreased. This ultimately reduces the average molecular weight and viscosity of oil over time, which is one of the goals of injecting gas into oil reservoirs. Therefore, the proposed algorithm can determine the process of changes in the composition of oil and gas, as well as the properties of oil, to reach two-phase thermodynamic equilibrium. For the oil and gas composition used in this paper, the equilibrium IFT decreased by an average of approximately 31% compared to the first contact due to component exchange. The oil viscosity and molecular mass also decreased by an average of about 39% and 23%, respectively. These results justify the use of rich gas as an injection gas because of the increase in oil mobility during the gas injection process. Thus, the proposed algorithm can be effectively used in gas injection studies into oil reservoirs to accurately identify the mechanisms under different reservoir conditions.

The Production of High-Permeable and Macrovoid-Free Polysulfone Hollow Fiber Membranes and Their Utilization in CO2 Capture Applications via the Membrane-Assisted Gas Absorption Technique.

This present study covers a complex approach to study a hybrid separation technique: membrane-assisted gas absorption for CO2 capture from flue gases. It includes not only the engineering aspects of the process, particularly the cell design, flow organization, and process conditions, but also a complex study of the materials. It covers the spinning of hollow fibers with specific properties that provide sufficient mass transfer for their implementation in the hybrid membrane-assisted gas absorption technique and the design of an absorbent with a new ionic liquid-bis(2-hydroxyethyl) dimethylammonium glycinate, which allows the selective capture of carbon dioxide. In addition, the obtained hollow fibers are characterized not only by single gas permeation but with regard to mixed gases, including the transfer of water vapors. A quasi-real flue gas, which consists of nitrogen, oxygen, carbon dioxide, and water vapors, is used to evaluate the separation efficiency of the proposed membrane-assisted gas absorption technique and to determine its ultimate performance in terms of the CO2 content in the product flow and recovery rate. As a result of this study, it is found that highly permeable fibers in combination with the obtained absorbent provide sufficient separation and their implementation is preferable compared to a selective but much less permeable membrane.

The Convergence of AI and Nature: Advancing Carbon Dioxide Capture, Removal, and Storage Technologies through Integrated Ecosystem-Based Strategies

This paper examines the critical integration of Artificial Intelligence (AI) and Nature-Based Solutions (NbS) to enhance Carbon Dioxide Capture, Removal, and Storage (CCRS) technologies. Recognizing the limitations of current approaches, the study proposes that combining AI's analytical power with natural ecosystems' carbon sequestration potential offers a transformative pathway for achieving significant negative emissions and sustainable carbon storage. The research details AI's role in optimizing the entire carbon management lifecycle. This includes AI-driven advancements in material design and process control for technological carbon capture, and data-driven management for improved biological carbon removal through optimal NbS deployment. Specifically, the paper highlights AI techniques like machine learning and predictive modeling for enhanced monitoring of blue carbon ecosystems (e.g., salt marshes, seagrass beds), utilizing remote sensing to maximize their sequestration potential. Additionally, the study explores AI-driven precision agriculture for optimizing soil carbon sequestration via advanced fertilization and tailored soil management. It also assesses AI's application in species and site selection for large-scale afforestation and reforestation, considering factors like growth rates and climate resilience. The integration of AI-powered Measurement, Reporting, and Verification (MRV) systems is also discussed to bolster the credibility of carbon credits from NbS. The paper includes relevant case studies, such as AI-powered process automation in industrial carbon capture and AI's emerging use in the built environment for emission prediction. Crucially, the work addresses ethical considerations and potential challenges, including AI's energy consumption, data quality, and algorithmic biases. Through a comprehensive review, this study identifies critical research directions and proposes a robust framework for ethical and sustainable integrated AI-NbS CCRS systems. It concludes that the judicious fusion of AI with the natural benefits of NbS provides a potent and economically viable strategy for achieving substantial reductions in atmospheric carbon dioxide, thereby contributing significantly to global net-zero emissions targets and fostering a sustainable future.

Preparation of Composite Nanofiber Membranes via Solution Blow Spinning and Solution Impregnation Method for CO2 Capture.

Carbon dioxide (CO2) capture is a pivotal technology for achieving the goal of carbon neutrality. This paper proposes a novel process, SBS + SI, which integrates Solution Blow Spinning (SBS) and Solution Impregnation Method (SI), using polyamide 66 (PA66) as the carrier material and high-purity tetraethylenepentamine (TEPA) as the modifier, to fabricate nanofiber adsorption membranes with varying carrier structures and modifier component loadings. The CO2 adsorption performance and pore structure of the adsorbents were investigated using characterization techniques, such as Scanning Electron Microscopy (SEM), Thermogravimetric Analysis (TGA), Brunauer-Emmett-Teller (BET) surface area and pore size analysis, and Fourier Transform Infrared Spectroscopy (FT-IR). The results indicate that as the mass fraction of TEPA increases, the pores in the nanofiber membranes gradually decrease, while the CO2 adsorption capacity significantly increases. The PA66 nanofiber membrane achieves peak CO2 capture performance (44.7 mg/g at 25 °C) at 15% TEPA loading. Meanwhile, the composite nanofiber membranes also exhibit outstanding CO2/N2 selectivity with a separation factor reaching 28. Thermal regeneration tests at 90 °C confirm the composite's outstanding cyclic stability and regenerability, demonstrating its potential for practical carbon capture applications. These findings suggest that the nanofiber adsorbents prepared by the SBS + SI process have broad application prospects in the field of CO2 capture.

Parameters estimation of gas capture through Mixed Matrix Membrane (MMM) with CFD.

Carbon dioxide (CO2) capture is a crucial process to mitigate greenhouse gas emissions and reduce anthropogenic impact on climate change. The 3-D model is choosing to capture carbon dioxide from real natural gas (NG) using a mixed matrix membrane (MMM) consisting of polysulfone (PSF) with nanoparticles of covalent organic frameworks (CT-1). In this work, computational fluid dynamics (CFD) estimated the parameters of MMM for CO2 gas separation. Fick's law is utilized of gas transport over a membrane module, whereas the Navier-Stokes equation describes the gas transport in both the feed and permeate domains of the permeation cell. This study involves the estimation of the membrane's properties, including its permeance and diffusion coefficient. The estimation of these parameters was performed by integrating an artificial neural network (ANN) developed in MATLAB R2021a with computational fluid dynamics simulations in COMSOL 6.1. The goal of the parameter prediction module is to minimize the sum of squared errors (SSE) between the experimental and simulated concentrations in the permeate region. For different gas pairs with operating limitations, the calculated parameters for the MMM predict its performance. Additionally, the results showed that operational variables such as concentration of CO2 and feed pressure have a direct impact on gas permeation, although temperature did not show a clear effect. According to the findings, the CFD model demonstrates a deviation of less than 5% from experimental data for the MMM in gas separation.

Atomistic Insights into the Reactive Diffusion of CO2 in Guanidine-Based Facilitated Transport Membranes.

The pressing need to address climate change has led to significant advancements in carbon dioxide (CO2) capture technologies. Notably, facilitated transport membranes (FTMs) are distinguished by their exceptional selectivity and permeance, attributed to their reversible chemical reactions with CO2. This study, for the first time, sheds light on the reactive diffusion mechanism of CO2 in FTMs, utilizing 1,1,3,3-tetramethylguanidine (TMG) as a mobile carrier. Specifically, state-of-the-art molecular dynamics (MD) simulations, augmented by a reparameterized reactive force field (ReaxFF) capable of describing atomistic interactions and reaction pathways, are conducted to investigate the transport of CO2 in TMG. The analysis of mean squared displacement (MSD) and diffusion coefficients reveals a clear hierarchy in the mobility of reaction components. Our findings highlight a unique hopping diffusion mechanism between bicarbonate ions and TMG molecules, increasing the diffusivity of reacted CO2 by 1.4 times. The hopping events observed not only enhance our understanding of molecular mobility but also offer a means to boost the performance of FTMs in CO2 capture applications. Overall, this research lays the groundwork for the future design of FTMs with optimal carrier properties.

Study on the Preparation of Biomass-Derived Porous Carbon and Enhanced Carbon Capture Performance via MOF-Assisted Granulation.

Biomass porous carbon materials have a high specific surface area and a rich pore structure, making them promising CO2 capture materials. However, the complexity of biomass composition and microstructure may lead to poor reproducibility in the quality of biomass-derived porous carbon. Developing reliable methods for preparing biomass-derived porous carbon is crucial. This study is the first to extract plant fibers from rice straw using an alkaline method and successfully prepare a nitrogen-doped porous carbon material from this raw material. However, similar to most porous carbons used directly for carbon dioxide capture, this material faces challenges in engineering applications, such as complex powder properties, high energy consumption, and significant losses. Here, we further explore the metal-organic framework (MOF)-assisted granulation method to convert porous carbon into carbon microspheres. This method not only enhances the mechanical properties of the material but also compensates for the loss of adsorption capacity during the granulation process, thereby significantly improving the application prospects of biomass porous carbon in the field of carbon capture. This study evaluated in detail their carbon dioxide adsorption capacity and particle compressive strength. The results showed that the porous carbon microspheres doped with Co-MOF-74 exhibited high CO2 uptake at 1 bar, up to 3.87 mmol g-1 at 25 °C and 3.15 mmol g-1 at 40 °C. In addition, the particle strength of porous carbon microspheres can be increased by more than five times, which is attributed to the crucial role of Co-MOF-74 doping in regulating the pore structure. In this study, we report that an unprecedented design of biomass porous carbon microspheres can provide a solution to the particle agglomeration and reactor clogging problems caused by the complex powder properties of porous carbon and significantly expand the application scenarios of biomass porous carbon in the field of carbon capture.

Exergoeconomic Analysis and Optimization of a Combined Cooling, Heating, and Power System Based on a Super-Trans-Subcritical Regenerative Cycle Using the Liquefied Natural Gas Cold Energy and Steam Methane Reforming Waste Heat

Abstract This article designs and analyzes a combined cooling, heating, and power system based on the step utilizing liquefied natural gas cold energy and steam methane reforming flue gas waste heat. The system performance is evaluated through thermodynamic analysis, exergoeconomic analysis, and multi-objective optimization of the system. The influence of the turbine inlet pressure P4, split ratio x, and mole fraction of carbon tetrafluoride NR14 on the system performance is analyzed. The results show that increasing P4 and T10 can improve the net work output, the thermal efficiency, the exergy efficiency, and lower the average unit cost. Reducing x, P14, and NR14 can reduce the average unit cost, and improve the exergy efficiency. The system energy is mainly distributed in the heat exchangers. In the actual optimal state, the thermal efficiency, exergy efficiency, and average unit cost of the system are 72.35%, 52.16%, and 31.24 $/GJ, the annual net economic value is 1.507 × 106 $, and the discounted payback period is 3.38 years. The research results are conducive to capturing carbon dioxide from flue gas, saving resources, and protecting the environment.

Carbon vaults on farmlands: Unveiling the carbon sequestration potential of trees for climate resilience

Farmlands are emerging as a crucial landscape for sequestering carbon, while trees acting as a natural carbon vault that capture and store atmospheric carbon dioxide in biomass and soil. Understanding the potential of trees in sequestering carbon is essential for assessing their role in climate resilience and sustainable management practices. This review evaluates the carbon storage capacity of various tree species, examining factors such as species allocation, carbon accumulation and sequestration rates. By exploring the existing research, it highlights how various agroforestry systems contribute to long term carbon storage, with sequestration rates ranging from 0.29 to 15.21 Mg C ha-1 year-1 in aboveground biomass and 30 to 300 Mg C ha-1 year-1 in soil. Short-rotation species have demonstrated rapid carbon uptake, while long-rotation species contribute to sustained sequestration over the decades. This review also highlights the challenges in precisely quantifying carbon stocks, emphasizing the need for advanced allometric models, remote sensing and standardized methodologies. Additionally, the potential for monetizing farmland carbon stocks through carbon credits and offset trading is explored, emphasizing the economic viability of tree based carbon sequestration. While policies support afforestation and tree farming implementation gaps need to be filled. In conclusion, trees in farmlands hold immense promise as carbon sink, reinforcing the need for research driven strategies, policy support and financial incentives to enhance their role in mitigating climate change and strengthening climate resilience.

Carbon dioxide pipelines are disproportionally located in marginalized communities in the United States

Carbon capture and storage and carbon dioxide removal technologies are pivotal for net-zero climate goals, requiring extensive carbon dioxide pipeline expansion across the U.S. However, as this network grows, concerns about safety and environmental justice intensify, due to insufficient regulations that may disproportionately expose marginalized communities to risks. Here, we empirically examine the environmental justice implications of existing and potential pipelines across communities. Using census-tract demographic data and pipeline spatial data, we applied LASSO regression to identify key demographic variables and incorporated them into binary logistic regression models to uncover if the locations of, and disadvantages associated with, carbon dioxide pipelines are equally distributed among different demographics. We find higher-income communities are less likely to host existing pipelines. Proposed pipelines are generally in areas with higher concentrations of Black residents, while areas with higher educational attainment show reduced likelihood. Using the Net Zero America study’s 2030 projection of carbon dioxide pipelines, we observe diminished impacts on higher-income and educated communities, although Black residents are less likely to have a pipeline in this scenario. All pipelines were more likely to be in rural areas. These findings reveal persistent demographic disparities in pipeline locations, underscoring concerns about resource accessibility and preparedness.

Single-step pyrolytic synthesis of ultra-microporous ammonialized biochar for carbon dioxide capture.

Single-step pyrolytic synthesis of ultra-microporous ammonialized biochar for carbon dioxide capture.

Bicarbonate induced enhanced production of microalgal extracellular polymeric substance and its characterization.

Bicarbonate induced enhanced production of microalgal extracellular polymeric substance and its characterization.

Corrigendum to “Rolling-out pioneering carbon dioxide capture and transport chains from inland European industrial facilities: A techno-economic, environmental, and regulatory evaluation” [Renew Sustain Energy Reviews 205 (2024) 114803

Corrigendum to “Rolling-out pioneering carbon dioxide capture and transport chains from inland European industrial facilities: A techno-economic, environmental, and regulatory evaluation” [Renew Sustain Energy Reviews 205 (2024) 114803

Enhanced carbon dioxide capture via amphiphobic PVDF membrane modification for membrane contactors: Overcoming wettability challenges

Enhanced carbon dioxide capture via amphiphobic PVDF membrane modification for membrane contactors: Overcoming wettability challenges

Kinetics and selectivity insights into carbon dioxide capture utilizing carboxymethyl cellulose-polypyrrole nanocomposites: Screening of silane functionalization.

Kinetics and selectivity insights into carbon dioxide capture utilizing carboxymethyl cellulose-polypyrrole nanocomposites: Screening of silane functionalization.