Simulation-Based Comparative Study of CO₂ Absorption Techniques for Biogas Purification Using Aspen HYSYS and Aspen Plus

Simulation-Based Comparative Study of CO₂ Absorption Techniques for Biogas Purification Using Aspen HYSYS and Aspen Plus

Aishah ROSLI, Aziatul Niza SADIKIN

Abstract. Upgrading biogas by removing CO₂ is essential to increase its energy value and usability as a clean fuel. This study compares three CO₂ absorption techniques using simulation: chemical absorption with monoethanolamine (MEA), diethanolamine (DEA), methyl diethanolamine (MDEA) with piperazine (PZ), and physical absorption with water. The MEA, DEA, and MDEA/PZ systems were simulated using Aspen HYSYS, while water scrubbing was simulated using Aspen Plus. The simulations used standardized biogas composition and analyzed the effect of parameters such as solvent concentration, temperature, pressure, and liquid-to-gas (L/G) ratio. MEA showed a maximum removal efficiency of 99.28% at 35 mol% and 60°C. MDEA/PZ performed well under low-pressure conditions, with improved absorption due to PZ activation. Water scrubbing showed better CO₂ removal at higher pressures and L/G ratios, but was less selective than amine solvents. The results highlight trade-offs between chemical and physical absorption: amine-based systems offer higher efficiency but may involve higher regeneration costs, while water scrubbing provides a more straightforward and cost-effective option. This study provides valuable insights for selecting efficient and sustainable biogas upgrading methods.

Keywords
Biogas Upgrading, CO₂ Removal, Chemical Absorption, Water Scrubbing

Published online 1/15/2026, 7 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Aishah ROSLI, Aziatul Niza SADIKIN, Simulation-Based Comparative Study of CO₂ Absorption Techniques for Biogas Purification Using Aspen HYSYS and Aspen Plus, Materials Research Proceedings, Vol. 59, pp 106-112, 2026

DOI: https://doi.org/10.21741/9781644903957-14

The article was published as article 14 of the book Separation Technology

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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