Dynamic modelling of light and temperature effects on biomass growth and biohydrogen production by the photosynthetic bacterium Rhodopseudomonaspalustris
Background: Parallel to the impending hydrogen economy, the simultaneous treatment of organic waste and biohydrogen synthesis by the photosynthetic bacterium Rhodopseudomonaspalustris is a promising renewable energy technology. However, studies so far have been mostly laboratory based with upscaling...
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| Published in: | Computer Aided Chemical Engineering Vol. 51; pp. 19 - 24 |
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| Main Authors: | , , , , , |
| Format: | Book Chapter |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | Get full text |
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| Summary: | Background: Parallel to the impending hydrogen economy, the simultaneous treatment of organic waste and biohydrogen synthesis by the photosynthetic bacterium Rhodopseudomonaspalustris is a promising renewable energy technology. However, studies so far have been mostly laboratory based with upscaling of the bioprocess still being an open challenge. Therefore, this study investigates two different photobioreactors (PBRs): schott bottle-based and vertical tubular-based PBRs and presents three original contributions to facilitate the biotechnology transfer across PBR scales and configurations.
Study Design: Firstly, a dynamic model is constructed to simulate the complicated influences of light intensity, light attenuation, and temperature, previously not unified for any photosynthetic bacteria to the best of our knowledge. Secondly, perturbation analysis was exploited to identify critical parameters influencing the model accuracy and reliability for across the scale extrapolations. Thirdly, two model parameters: effective light coefficient and biohydrogen enhancement coefficient, both linked to the PBR’s transport phenomena were proposed for recalibrations during bioprocess upscaling predictions.
Major results: By comparing against experimental data, the upscaling prediction accuracy was thoroughly verified for the two investigated PBR scales. As well, the enhancement of biohydrogen production rate by improved culture mixing and gas removal was mechanistically described.
Conclusion: This provides important advances for the efficient design of novel PBRs and future online optimisation for biohydrogen production. |
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| ISBN: | 0323958796 9780323958790 |
| ISSN: | 1570-7946 |
| DOI: | 10.1016/B978-0-323-95879-0.50004-7 |