Literature DB >> 21324679

Microalgae bulk growth model with application to industrial scale systems.

Jason Quinn1, Lenneke de Winter, Thomas Bradley.   

Abstract

The scalability of microalgae growth systems is a primary research topic in anticipation of the commercialization of microalgae-based biofuels. To date, there is little published data on the productivity of microalgae in growth systems that are scalable to commercially viable footprints. To inform the development of more detailed assessments of industrial-scale microalgae biofuel processes, this paper presents the construction and validation of a model of microalgae biomass and lipid accumulation in an outdoor, industrial-scale photobioreactor. The model incorporates a time-resolved simulation of microalgae growth and lipid accumulation based on solar irradiation, species specific characteristics, and photobioreactor geometry. The model is validated with 9 weeks of growth data from an industrially-scaled outdoor photobioreactor. Discussion focuses on the sensitivity of the model input parameters, a comparison of predicted microalgae productivity to the literature, and an analysis of the implications of this more detailed growth model on microalgae biofuels lifecycle assessment studies.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21324679     DOI: 10.1016/j.biortech.2011.01.019

Source DB:  PubMed          Journal:  Bioresour Technol        ISSN: 0960-8524            Impact factor:   9.642


  14 in total

1.  Global evaluation of biofuel potential from microalgae.

Authors:  Jeffrey W Moody; Christopher M McGinty; Jason C Quinn
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-27       Impact factor: 11.205

2.  Pilot-Scale Cultivation of the Snow Alga Chloromonas typhlos in a Photobioreactor.

Authors:  Floris Schoeters; Jornt Spit; Rahmasari Nur Azizah; Sabine Van Miert
Journal:  Front Bioeng Biotechnol       Date:  2022-06-09

3.  High-Fidelity Modelling Methodology of Light-Limited Photosynthetic Production in Microalgae.

Authors:  Andrea Bernardi; Andreas Nikolaou; Andrea Meneghesso; Tomas Morosinotto; Benoît Chachuat; Fabrizio Bezzo
Journal:  PLoS One       Date:  2016-04-07       Impact factor: 3.240

4.  Coupling a simple irradiance description to a mechanistic growth model to predict algal production in industrial-scale solar-powered photobioreactors.

Authors:  Philip Kenny; Kevin J Flynn
Journal:  J Appl Phycol       Date:  2016-06-21       Impact factor: 3.215

5.  A Mathematical Model of Neutral Lipid Content in terms of Initial Nitrogen Concentration and Validation in Coelastrum sp. HA-1 and Application in Chlorella sorokiniana.

Authors:  Zhenhua Yang; Yue Zhao; Zhiyong Liu; Chenfeng Liu; Zhipeng Hu; Yuyong Hou
Journal:  Biomed Res Int       Date:  2017-01-18       Impact factor: 3.411

6.  A new approach for calculating microalgae culture growth based on an inhibitory effect of the surrounding biomass.

Authors:  Sun-Hwa Jung; Christopher McHardy; Cornelia Rauh; Alexander Jahn; Giovanni Luzi; Antonio Delgado; Rainer Buchholz; Christoph Lindenberger
Journal:  Bioprocess Biosyst Eng       Date:  2021-04-16       Impact factor: 3.210

7.  Bioprocessing of Stichococcus bacillaris strain siva2011.

Authors:  Ganapathy Sivakumar; Kwangkook Jeong; Jackson O Lay
Journal:  Biotechnol Biofuels       Date:  2014-04-15       Impact factor: 6.040

8.  DRUM: a new framework for metabolic modeling under non-balanced growth. Application to the carbon metabolism of unicellular microalgae.

Authors:  Caroline Baroukh; Rafael Muñoz-Tamayo; Jean-Philippe Steyer; Olivier Bernard
Journal:  PLoS One       Date:  2014-08-08       Impact factor: 3.240

9.  Physiology limits commercially viable photoautotrophic production of microalgal biofuels.

Authors:  Philip Kenny; Kevin J Flynn
Journal:  J Appl Phycol       Date:  2017-07-13       Impact factor: 3.215

10.  Reconstruction and analysis of a carbon-core metabolic network for Dunaliella salina.

Authors:  Melanie Fachet; Carina Witte; Robert J Flassig; Liisa K Rihko-Struckmann; Zaid McKie-Krisberg; Jürgen E W Polle; Kai Sundmacher
Journal:  BMC Bioinformatics       Date:  2020-01-02       Impact factor: 3.169

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