Cited by 57Algal biology and biofuel productionFluid Dynamics and MixingAquatic Ecosystems and Phytoplankton Dynamics

First Principles Model of a Tubular Photobioreactor for Microalgal Production

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Fernández, Ignacio, Acién, F. Gabriel, Berenguel, Manuel, Guzmán, José Luis·2014·Industrial & Engineering Chemistry Research

Abstract

This paper outlines and extends a dynamic model for microalgal production in outdoor tubular photobioreactors. A first principle based model, which takes into account both spatial and temporal gradients for the main culture variables, is presented. A previous model has been refined and extended in order to represent the main distributed phenomena, incorporating the dynamic effects related to culture temperature. Thereby, calibration and validation tests have been performed in an outdoor industrial tubular photobioreactor, showing successful results. The developed model considers both fluid dynamics and biological phenomena. This work summarizes the required steps to obtain a biological model from knowledge acquired in previous works. Finally, in view of the obtained results, conclusions about the limitations of the developed model are drawn, as well as its main uses and applications, describing a simulation example which proves how a simple control of culture conditions, such as temperature and pH, allows obtaining a higher biomass production rate.

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Research works printed but not linked: 3

  1. Acień, F. G.; García, F.; Chisti, Y. Photobioreactors: light regime, mass transfer, and scaleup. Prog. Ind. Microbiol. 1999, 35, 231-247.
  2. Fernańdez, I.; Penã, J.; Guzmań, J. L.; Berenguel, M.; Acień, F. G. Modelling and control issues of pH in tubular photobioreactors. Proceedings of the 11th IFAC Symposium on Computer Applications in Biotechnology, CAB 2010, Leuven, Belgium; International Federation of Automatic Control: Laxenburg, Austria, 2010.
  3. Lazar, C.; Pintea, R.; Keyser, R. D. Nonlinear predictive control of a pH process. 17th European Symposium on Computer Aided Process Engineering, ESCAPE17, Bucharest, Romania;

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Authors
Fernández, I., Acién, F. G., Berenguel, M., & Guzmán, J. L.
Affiliations
  • University of Almería (ES)
  • Department of Informatics, CIESOL, and ‡Department of Chemical Engineering, University of Almería, International Excellence Campus ceiA3, E04120 Almería, Spain
Corresponding author
  • Fernández, Ignacio
  • Acién, F. Gabriel
  • Berenguel, Manuel
Venue
Industrial & Engineering Chemistry Research
Published
2014-06-24
Volume
53
Issue
27
Pages
11121-11136
ISSN
  • 0888-5885 (ISSN-L)
  • 1520-5045
OpenAlex
W2324148510
Cited by
57
References
46
Citations by year
2026: 7 · 2025: 3 · 2024: 9 · 2023: 6 · 2022: 5 · 2021: 5 · 2020: 6 · 2019: 2 · 2017: 4 · 2016: 4 · 2015: 6
FWCI
1.54
Type
journal article
Language
en
Open access
Locations
Industrial & Engineering Chemistry Research (publishedVersion, other-oa)
Funders
  • Centro para el Desarrollo Tecnológico Industrial
  • Ministerio de Economía y Competitividad
  • Ministerio de Ciencia e Innovación
  • European Regional Development Fund
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 › Environmental Science › Environmental Chemistry › Aquatic Ecosystems and Phytoplankton Dynamics
Keywords
tubular photobioreactor, microalgae cultivation, first-principles modeling, distributed parameter model, temperature effects, fluid dynamics, biomass production, pH control, model calibration and validation

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