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In situ casting of rice husk ash in metal organic frameworks induces enhanced CO₂ capture performance.

ABSTRACT: Incorporation of rice-husk-ash (RHA), an agricultural waste, in situ during the synthesis of MIL-101(Cr) resulted in a significant improvement in the CO₂ adsorption properties over the synthesized RHA-MIL-101(Cr). The newly synthesized RHA-MIL-101(Cr) composite exhibited an enhancement of 14-27% in CO₂ adsorption capacity as compared to MIL-101(Cr) at 25 °C and 1 bar. The content of RHA incorporated in RHA-MIL-101(Cr) fine tuned the CO₂ capture performance to achieve high working capacity (0.54 mmol g^-1), high purity (78%), superior CO₂/N₂ selectivity (18) and low isosteric heat of adsorption (20-30 kJ mol^-1). The observed superior CO₂ adsorption performance of RHA-MIL-101(Cr) is attributed to the fine tuning of textural characteristics-enhancement of 12-27% in BET surface area, 12-33% in total pore volume and 18-30% in micropore volume-upon incorporation of RHA in MIL-101(Cr).

SUBMITTER: Panda D

PROVIDER: S-EPMC7678836 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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In situ casting of rice husk ash in metal organic frameworks induces enhanced CO2 capture performance.

Panda Debashis D Saini Chanchal C Kumar E Anil EA Singh Sanjay Kumar SK

Scientific reports 20201119 1

Incorporation of rice-husk-ash (RHA), an agricultural waste, in situ during the synthesis of MIL-101(Cr) resulted in a significant improvement in the CO2 adsorption properties over the synthesized RHA-MIL-101(Cr). The newly synthesized RHA-MIL-101(Cr) composite exhibited an enhancement of 14-27% in CO2 adsorption capacity as compared to MIL-101(Cr) at 25 °C and 1 bar. The content of RHA incorporated in RHA-MIL-101(Cr) fine tuned the CO2 capture performance to ach ...[more]

PMID: 33214652

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Project description:Despite the known impacts on climate change of carbon dioxide emissions, the continued use of fossil fuels for energy generation leading to the emission of carbon dioxide (CO2) into the atmosphere is evident. Therefore, innovation to address and reduce CO2 emissions from industrial operations remains an urgent and crucial priority. A viable strategy in the area is postcombustion capture mainly through absorption by aqueous alkanolamines, which focuses on the separation of CO2 from flue gas, despite its limitations. Within this context, porous materials, particularly metal-organic frameworks (MOFs), have arisen as favorable alternatives owing to their significant adsorption capacity, selectivity, and reduced regeneration energy demands. This research evaluates the engineering insights into tailored MOFs for enhanced CO2 capture, focusing on three series of MOFs (ZIF, UiO-66, and BTC) to investigate the effects of organic ligands, functional groups, and metal ions. The evaluation encompassed a range of aspects including adsorption isotherms of pure gases [CO2 and nitrogen (N2)] and mixed gas mixture (CO2 and N2 with 15:85% ratio), along with utilization of the ideal adsorbed solution theory (IAST) to simulate multicomponent gas adsorption isotherms. Moreover, the reliability of IAST for mixed gas adsorption prediction has been investigated in detail. The research offers valuable insights into the correlation between the characteristics of MOFs and their effectiveness in gas separation and how these characteristics contribute to the differences between IAST predictions and experimental results. The findings enhance the understanding of how to enhance MOF characteristics in order to reduce CO2 emissions and also highlight the need for advanced models that consider thermodynamic nonidealities to accurately predict the behavior of mixed gas adsorption in MOFs. As a result, the incorporation of MOFs with enhanced predictability and reliability into CO2 capture industrial processes is facilitated.

Dataset Information

In situ casting of rice husk ash in metal organic frameworks induces enhanced CO₂ capture performance.

Publications

In situ casting of rice husk ash in metal organic frameworks induces enhanced CO<sub>2</sub> capture performance.

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