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Title: | Dynamic modeling of green algae cultivation in a photobioreactor for sustainable biodiesel production |
Authors: | del Rio-Chanona, Ehecatl Antonio Liu, Jiao Wagner, Jonathan L. Zhang, Dongda Meng, Yingying Xue, Song Shah, Nilay |
Keywords: | Biodiesel production Dynamic modelling Chlorophyll fluorescence Model predictive capability Light/dark cycle Nitrogen limiting |
Issue Date: | 2018 |
Publisher: | © Wiley Online Library |
Citation: | DEL RIO-CHANONA, E.A. ... et al., 2018. Dynamic modeling of green algae cultivation in a photobioreactor for sustainable biodiesel production. Biotechnology and Bioengineering, 115(2), pp. 359-370. |
Abstract: | Biodiesel produced from microalgae has been extensively studied due to its potentially
outstanding advantages over traditional transportation fuels. In order to facilitate its industrialisation and improve the process profitability, it is vital to construct highly accurate models capable of predicting the complex behaviour of the investigated biosystem for process
optimisation and control, which forms the current research goal. Three original contributions are described in this paper. Firstly, a dynamic model is constructed to simulate the complicated effect of light intensity, nutrient supply and light attenuation on both biomass growth and biolipid production. Secondly, chlorophyll fluorescence, an instantly measurable
variable and indicator of photosynthetic activity, is embedded into the model to monitor and update model accuracy especially for the purpose of future process optimal control, and its correlation between intracellular nitrogen content is quantified, which to the best of our
knowledge has never been addressed so far. Thirdly, a thorough experimental verification is conducted under different scenarios including both continuous illumination and light/dark cycle conditions to testify the model predictive capability particularly for long-term operation,
and it is concluded that the current model is characterised by a high level of predictive capability. Based on the model, the optimal light intensity for algal biomass growth and lipid synthesis is estimated. This work, therefore, paves the way to forward future process design
and real-time optimisation. |
Description: | This is the pre-peer reviewed version of the following article: DEL RIO-CHANONA, E.A. ... et al., 2018. Dynamic modeling of green algae cultivation in a photobioreactor for sustainable biodiesel production. Biotechnology and Bioengineering, 115(2), pp. 359-370, which has been published in final form at https://doi.org/10.1002/bit.26483. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions |
Sponsor: | EPSRC project. Grant Numbers: EP/P016650/1, P65332 Natural Science Foundation of China. Grant Number: 21576253 |
Version: | Accepted for publication |
DOI: | 10.1002/bit.26483 |
URI: | https://dspace.lboro.ac.uk/2134/36329 |
Publisher Link: | https://doi.org/10.1002/bit.26483 |
ISSN: | 0006-3592 |
Appears in Collections: | Published Articles (Chemical Engineering)
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