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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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