Mechanisms of Mg carbonates precipitation and implications for CO<sub>2</sub> capture and utilization/storage

Santos, Herbert Henrique de Melo; Nguyen, Hoang; Venâncio, Fabrício; Ramteke, D.D.; Zevenhoven, Ron; Kinnunen, Päivö

doi:10.1039/d2qi02482a

Cited by 25 publications

(8 citation statements)

References 163 publications

(451 reference statements)

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“…Under ambient conditions, however, recent work demonstrated that hydrated Mg carbonate phases form, which significantly change the efficiency and, hence, the economics of the proposed looping process. The formation of hydrous magnesium carbonates depends upon multiple variables, and it is not obvious which chemical pathway will be preferable under ambient environmental conditions . Previous work on Mg(OH) 2 or forsterite − carbonation and evidence from weathering studies − show that mineral reactions in both laboratory and field environments can be slowed down by the formation of a passivation layer.…”

Section: Introductionmentioning

confidence: 99%

“…The formation of hydrous magnesium carbonates depends upon multiple variables, and it is not obvious which chemical pathway will be preferable under ambient environmental conditions. 7 Previous work on Mg(OH) 2 8 or forsterite 9 − 11 carbonation and evidence from weathering studies 12 − 14 show that mineral reactions in both laboratory and field environments can be slowed down by the formation of a passivation layer. While the formation of hydrated Mg carbonate phases was previously observed, 6 it was not assessed whether these passivate the reactive surface area.…”

Section: Introductionmentioning

confidence: 99%

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Armoring of MgO by a Passivation Layer Impedes Direct Air Capture of CO₂

Weber,

Starchenko,

Yuan

et al. 2023

Environ. Sci. Technol.

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It has been proposed to use magnesium oxide (MgO) to separate carbon dioxide directly from the atmosphere at the gigaton level. We show experimental results on MgO single crystals reacting with the atmosphere for longer (decades) and shorter (days to months) periods with the goal of gauging reaction rates. Here, we find a substantial slowdown of an initially fast reaction as a result of mineral armoring by reaction products (surface passivation). In short-term experiments, we observe fast hydroxylation, carbonation, and formation of amorphous hydrated magnesium carbonate at early stages, leading to the formation of crystalline hydrated Mg carbonates. The preferential location of Mg carbonates along the atomic steps on the crystal surface of MgO indicates the importance of the reactive site density for carbonation kinetics. The analysis of 27-year-old single-crystal MgO samples demonstrates that the thickness of the reacted layer is limited to ∼1.5 μm on average, which is thinner than expected and indicates surface passivation. Thus, if MgO is to be employed for direct air capture of CO2, surface passivation must be circumvented.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Armoring of MgO by a Passivation Layer Impedes Direct Air Capture of CO₂

Weber,

Starchenko,

Yuan

et al. 2023

Environ. Sci. Technol.

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“…Those minerals in general show a larger carbon storage potential compared to their industrial counterparts and are described to be applied for enhanced carbonation measures. The values for this category are obtained from various review papers [14,16,[26][27][28]31,33,34].…”

Section: Resultsmentioning

confidence: 99%

The carbon dioxide storage potential of building materials: a systematic literature review

Maierhofer,

Zögl,

Saade

et al. 2023

J. Phys.: Conf. Ser.

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This study assesses the carbon dioxide storage ranges within new and innovative building materials. We conduct a Systematic Literature Review and gather data for carbon dioxide storage in building materials from 27 studies. The obtained values are classified into derived Eurostat categories ‘biomass - fast growing’, ‘biomass - slow growing’, ‘non-metallic minerals - industrial’ and ‘non-metallic minerals - natural’ and harmonized to the unit of gram carbon dioxide storage per kilogram of material (gCO2/kg). Based on the systematic review, the mean value of carbon dioxide storage for the category ‘biomass - fast growing’ results in 1758.0 gCO2/kg and for the category ‘biomass - slow growing’ in 1787.0 gCO2/kg, while the mean value for ‘non-metallic minerals - industrial’ results in 137.7 gCO2/kg and for ‘non-metallic minerals - natural’ in 574.1 gCO2/kg. The obtained statistical summaries provide a basis for future research on the path towards a net-zero carbon built environment.

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“…The technological pathways pursued for CO 2 capture include precombustion (CO 2 concentration of 15–60% and partial pressure of 2–7 MPa), postcombustion (CO 2 concentration of 3–20% and partial pressure of 0.003–0.02 MPa), oxy-fuel combustion routes (CO 2 concentration > 95% and partial pressure of 0.1–0.5 MPa), and direct air carbon capture (CO 2 concentration of ∼400 ppm and pressure < 0.1 MPa) . The existing CO 2 capture techniques include, absorption, adsorption, membrane separation, cryogenic separation, mineral carbonation, bioenergy with carbon capture and storage (BECCS), and direct air capture (DAC) . Among all these methods, solvent-based absorption is the most widely used, due to its high efficiency and low cost of operation .…”

Section: Introductionmentioning

confidence: 99%

Reduced Order Machine Learning Models for Accurate Prediction of CO₂ Capture in Physical Solvents

Mehtab

Alam

Povari

et al. 2023

Environ. Sci. Technol.

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CO2 sorption in physical solvents is one of the promising approaches for carbon capture from highly concentrated CO2 streams at high pressures. Identifying an efficient solvent and evaluating its solubility data at different operating conditions are highly essential for effective capture, which generally involves expensive and time-consuming experimental procedures. This work presents a machine learning based ultrafast alternative for accurate prediction of CO2 solubility in physical solvents using their physical, thermodynamic, and structural properties data. First, a database is established with which several linear, nonlinear, and ensemble models were trained through a systematic cross-validation and grid search method and found that kernel ridge regression (KRR) is the optimum model. Second, the descriptors are ranked based on their complete decomposition contributions derived using principal component analysis. Further, optimum key descriptors (KDs) are evaluated through an iterative sequential addition method with the objective of maximizing the prediction accuracy of the reduced order KRR (r-KRR) model. Finally, the study resulted in the r-KRR model with nine KDs exhibiting the highest prediction accuracy with a minimum root-mean-square error (0.0023), mean absolute error (0.0016), and maximum R 2 (0.999). Also, the validity of the database created and ML models developed is ensured through detailed statistical analysis.

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Mechanisms of Mg carbonates precipitation and implications for CO₂ capture and utilization/storage

Abstract: The mechanisms involved in the natural formations of dolomite (CaMg(CO3)2) and magnesite (MgCO3) have endured as challenging research questions over centuries, being yet a matter under investigation in multiple fields....

Cited by 25 publications

References 163 publications

Armoring of MgO by a Passivation Layer Impedes Direct Air Capture of CO₂

Armoring of MgO by a Passivation Layer Impedes Direct Air Capture of CO₂

The carbon dioxide storage potential of building materials: a systematic literature review

Reduced Order Machine Learning Models for Accurate Prediction of CO₂ Capture in Physical Solvents

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Mechanisms of Mg carbonates precipitation and implications for CO2 capture and utilization/storage

Abstract: The mechanisms involved in the natural formations of dolomite (CaMg(CO3)2) and magnesite (MgCO3) have endured as challenging research questions over centuries, being yet a matter under investigation in multiple fields....

Cited by 25 publications

References 163 publications

Armoring of MgO by a Passivation Layer Impedes Direct Air Capture of CO2

Armoring of MgO by a Passivation Layer Impedes Direct Air Capture of CO2

The carbon dioxide storage potential of building materials: a systematic literature review

Reduced Order Machine Learning Models for Accurate Prediction of CO2 Capture in Physical Solvents

Contact Info

Product

Resources

About

Mechanisms of Mg carbonates precipitation and implications for CO₂ capture and utilization/storage

Armoring of MgO by a Passivation Layer Impedes Direct Air Capture of CO₂

Armoring of MgO by a Passivation Layer Impedes Direct Air Capture of CO₂

Reduced Order Machine Learning Models for Accurate Prediction of CO₂ Capture in Physical Solvents