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Nanocellulose-based membranes for CO2 separation from biogas through the facilitated transport mechanism: a review

期刊

MATERIALS TODAY SUSTAINABILITY
卷 19, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.mtsust.2022.100191

关键词

Permeance; Selectivity; Biogas; CO2 removal; Membranes; FTM; NC

资金

  1. Department of Science and Technology
  2. Science and Engineering Research Board (SERB) , Department of Science & Technology (DST) , Government of India

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Membrane technology is widely used in biogas purification, and nanocellulose-based membranes show great advantages in CO2 separation. This paper systematically reviews the feasibility of using nanocellulose-based membranes for facilitated CO2 separation from biogas, discussing the importance of carriers in facilitated transport membranes and the impact of various variables on membrane performance.
Membrane technology in the field of biogas purification is preferred over other conventional processes as it offers easy installation, cheaper processing cost, and reduced carbon footprint. Membrane technology has been majorly exploited in biogas separation in the recent past. As a promising CO2 separation approach from biogas based on facilitated transport mechanism, nanocellulose-based membranes add great advantages like high specific surface area, hydrophilicity, surface modification possibility, envi-ronmental friendliness, and excellent mechanical properties. This paper investigates a systematic review on the feasibility of employing nanocellulose-based membranes for facilitated CO2 separation from biogas. It discusses about the importance of carriers in facilitated transport membranes (FTM) and the conformity of different models with the experimental data. The impact of various internal and external (processing) variables that affect the permeance and selectivity of the membrane i.e. the overall sepa-ration performance of membrane is emphasized in this review. Lastly, the future scope, challenges that need to overcome the effective employment of such membranes are discussed. (C) 2022 Elsevier Ltd. All rights reserved.

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