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Author Spotlight: Scaling Microalgal Biotechnology for Enhanced Biomethane Production
Published on: March 22, 2024
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Photo fermentative biohydrogen production potential using microalgae-activated sludge co-digestion in a sequential
Muhammad Asad Javed1,2, Ashraf Aly Hassan1,2
1Department of Civil and Environmental Engineering, United Arab Emirates University Al Ain 15551 United Arab Emirates alyhassan@uaeu.ac.ae.
RSC Advances
|November 2, 2022
Summary
This study explored biohydrogen (bioH2) production using a sequential flow batch reactor (SFBR) with microalgae and wastewater sludge. While SFBR showed consistent bioH2 output, optimization is needed for scalable, efficient bioenergy generation.
Area of Science:
- Biotechnology and Bioenergy
- Sustainable Energy Production
- Microalgal Cultivation
Background:
- Biohydrogen (bioH2) offers a carbon-free energy alternative, producible from microalgae via photolytic and anaerobic digestion (AD) pathways.
- Scaling up AD for bioH2 production presents challenges, particularly with continuous stirred tank reactors (CSTRs) and sequential flow batch reactors (SFBRs).
Purpose of the Study:
- To analyze the performance characteristics of an SFBR for biohydrogen generation.
- To evaluate the feasibility of using a Chlorella vulgaris and domestic wastewater activated sludge (WWAS) co-culture in an SFBR system.
Main Methods:
- Co-cultivation of Chlorella vulgaris and WWAS in an SFBR under anaerobic conditions with light.
- Operation at an organic loading rate (OLR) of 4.7 g COD L-1 day-1 and a hydraulic retention time (HRT) of five days.
- Maintenance of pH at 6 for a 15-day incubation period.
Main Results:
- Maximum bioH2 concentrations reached 421.1 μmol L-1 (exponential phase) and 56.6 μmol L-1 (steady-state phase).
- High acetate concentrations (average 11.9 g L-1) were observed in the effluent during the steady-state phase.
- BioH2 production was consistent but inadequate, with a logistic function model showing the best fit for prediction.
Conclusions:
- SFBR operation with constant OLR yielded consistent, albeit insufficient, bioH2 production.
- Optimizing OLR and HRT in SFBRs may offer a more feasible approach for upscaling bioH2 yield compared to CSTR limitations.
- The logistic function model is suitable for predicting bioH2 generation in SFBR co-culture systems.
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