Deep learning based surrogate modeling and optimization for Microalgal biofuel production and photobioreactor design

Identifying optimal photobioreactor configurations and process operating conditions is critical to industrialize microalgae-derived biorenewables. Traditionally, this was addressed by testing numerous design scenarios from integrated physical models coupling computational fluid dynamics and kinetic...

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Bibliographic Details

Main Authors:	Ehecatl Antonio del Rio-Chanona, Jonathan Wagner, Haider Ali, Fabio Fiorelli, Dongda Zhang, Klaus Hellgardt
Format:	Default Article
Published:	2018
Subjects:	Chemical engineering not elsewhere classified Surrogate modelling Convolutional neural network Hybrid stochastic optimization Excreted biofuel Photobioreactor design Chemical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/36305
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