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Photo fermentative biohydrogen production potential using microalgae–activated sludge co-digestion in a sequential flow batch reactor (SFBR)

Biohydrogen (bioH(2)) is a sustainable energy source that can produce carbon-free energy upon combustion. BioH(2) can be generated from microalgae by photolytic and anaerobic digestion (AD) pathways. The AD pathway faces many challenges when scaling up using different bioreactors, particularly the c...

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Detalles Bibliográficos
Autores principales: Javed, Muhammad Asad, Aly Hassan, Ashraf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577477/
https://www.ncbi.nlm.nih.gov/pubmed/36321096
http://dx.doi.org/10.1039/d2ra06014k
Descripción
Sumario:Biohydrogen (bioH(2)) is a sustainable energy source that can produce carbon-free energy upon combustion. BioH(2) can be generated from microalgae by photolytic and anaerobic digestion (AD) pathways. The AD pathway faces many challenges when scaling up using different bioreactors, particularly the continuous stirred tank reactor (CSTR) and sequential flow batch reactor (SFBR). Therefore, the performance characteristics of SFBR were analysed in this study using Chlorella vulgaris and domestic wastewater activated sludge (WWAS) co-culture. An organic loading rate (OLR) of 4.7 g COD L(−1) day(−1) was fed to the SFBR with a hydraulic retention time (HRT) of five days in the presence of light under anaerobic conditions. The pH of the medium was maintained at 6 using a pH controller for the incubation period of 15 days. The maximum bioH(2) concentrations of 421.1 μmol L(−1) and 56.6 μmol L(−1) were observed in the exponential and steady-state phases, respectively. The effluent had an unusually high amount of acetate of 16.6 g L(−1), which remained high with an average of 11.9 g L(−1) during the steady state phase. The amount of bioH(2) produced was found to be inadequate but consistent when operating the SFBR with a constant OLR. Because of the limitations in CSTR handling, operating a SFBR by optimizing OLR and HRT might be more feasible in operation for bioH(2) yield in upscaling. A logistic function model was also found to be the best fit for the experimental data for the prediction of bioH(2) generation using co-culture in the SFBR.