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A simple model for algae-bacteria interaction in photo-bioreactors
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-8034-4043
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-4435-4367
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0003-3311-9465
Department of Information Technology, Uppsala University, Uppsala, Sweden. (Division of Systems and Control, Department of Information Technology)
2016 (English)In: Algal Research, ISSN 2211-9264, Vol. 19, no nov, 155-161 p.Article in journal (Refereed) Published
Abstract [en]

This work presents a simple model to describe the consortia of algae-bacteria in a photo-bioreactor. The model is inspired by the Activated Sludge Model (ASM) structure, which includes different process rates and stoichiometric parameters. The model comprises two main biomass populations (algae and bacteria), two dissolved substrates (ammonium and nitrate) and two dissolved gases (oxygen and carbon dioxide) in the reactor. The model was calibrated with data from batch experiments performed in two lab-scale photo-bioreactors. A sensitivity analysis was done to identify the parameters to be considered for the model calibration. Results indicate that the maximum algae and bacteria growth rate, bacteria growth yield and half-saturation constant for carbon were the most sensitive parameters. Moreover, the comparison between the experiments and the model shows good agreement in terms of predicting the ammonium, nitrate and oxygen concentrations in the photo-bioreactor.

Place, publisher, year, edition, pages
Elsevier, 2016. Vol. 19, no nov, 155-161 p.
Keyword [en]
Biomass; Photo-bioreactor; Irradiance; Modeling; Monod
National Category
Environmental Engineering
Research subject
Energy- and Environmental Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-32920DOI: 10.1016/j.algal.2016.07.022ISI: 000390001400019Scopus ID: 2-s2.0-84983467940OAI: oai:DiVA.org:mdh-32920DiVA: diva2:955672
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Knowledge Foundation, 20140168
Available from: 2016-08-25 Created: 2016-08-25 Last updated: 2017-01-05Bibliographically approved

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Krustok, IvoNehrenheim, Emma

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  • apa
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