Cited by 3Algal biology and biofuel productionFluid Dynamics and MixingAnaerobic Digestion and Biogas Production

Assessment of Selected Parameters in CO2 and CH4 Mass Transfer During Photosynthetic Biogas Upgrading Using Bubble Columns Filled with Wastewater-Derived Microalgae

Gonçalves, Ricardo Franci, Bastos, Larissa P., Nariyoshi, Yuri N., Borges, Raquel M., Keller, Regina, Silveira, Daniele D.·2025·Energy & Fuels

Abstract

This study investigated the simultaneous effects of four variables─column packing, diffuser pore size, biogas flow rate, and liquid height─on the mass transfer of CO 2 and CH 4 in bubble columns for photosynthetic biogas upgrading. Two bubble columns were used: an empty column and a column packed with granular media, both filled with wastewater-derived microalgae. The microalgal suspension was obtained from a high-rate algal pond that treated the anaerobic effluent from an upflow anaerobic sludge blanket reactor fed with urban wastewater. The results indicated a direct relationship between the methane–water volumetric mass transfer coefficient ( K L a ) and both biogas flow rate and liquid height in both columns. Although higher K L a values were observed at increased biogas flow rates, higher masses of methane were transferred to the liquid phase at lower flow rates due to longer contact times. Additionally, lower biogas flow rates enhanced CO 2 transfer, driving it toward saturation in the liquid phase, whereas extended contact times led to oxygen enrichment of the biogas. The packed column achieved higher K L a, suggesting that the granular media fragmented biogas bubbles, preventing coalescence and improving gas–liquid contact. However, connecting a coarse bubble diffuser to the packed column proved disadvantageous due to high oxygen enrichment and methane loss. By contrast, the use of a fine bubble diffuser in the empty column improved biogas energy potential, reduced oxygen enrichment, and enhanced methane retention, resulting in a more efficient upgrading process. Overall, this study revealed a positive energy balance under the tested conditions and demonstrated that optimizing diffuser and column design is crucial for enhancing the energy efficiency of biogas upgrading.

Integrity signals

Registry

Crossref · 10.1021/acs.energyfuels.4c05688

Cites

46 of 46 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Authors
Gonçalves, R. F., Bastos, L. P., Nariyoshi, Y. N., Borges, R. M., Keller, R., & Silveira, D. D.
Affiliations
Universidade Federal do Espírito Santo (BR)
Corresponding author
Gonçalves, Ricardo Franci
Venue
Energy & Fuels
Published
2025-04-08
Volume
39
Issue
15
Pages
7314-7325
ISSN
  • 0887-0624 (ISSN-L)
  • 1520-5029
OpenAlex
W4409247550
Cited by
3
References
46
Citations by year
2026: 1 · 2025: 2
FWCI
0.42
Type
journal article
Language
en
Open access
closed
Locations
Energy & Fuels (publishedVersion)
Funders
  • Funda??o de Amparo ? Pesquisa e Inova??o do Esp?rito Santo (05/2018)
  • AEGEA companies
  • FLUXO
  • CESAN
Topics
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
  • Physical Sciences › Engineering › Biomedical Engineering › Fluid Dynamics and Mixing
  • Physical Sciences › Engineering › Building and Construction › Anaerobic Digestion and Biogas Production
Keywords
bubble column, gas-liquid mass transfer, CO2 transport, volumetric mass transfer coefficient, fine bubble diffusers, granular packing, biogas flow rate, liquid height, oxygen enrichment, high rate algal ponds, biogas potential

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review