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Optimal Operation Strategy for Biohydrogen Production

del Rio-Chanona, EA, Dechatiwongse, P, Zhang, D, Maitland, GC, Hellgardt, K, Arellano-Garcia, H and Vassiliadis, VS (2015) Optimal Operation Strategy for Biohydrogen Production Industrial and Engineering Chemistry Research, 54 (24). pp. 6334-6343.

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Abstract

Hydrogen produced by microalgae is intensively researched as a potential alternative to conventional energy sources. Scaling-up of the process is still an open issue, and to this end, accurate dynamic modeling is very important. A challenge in the development of these highly nonlinear dynamic models is the estimation of the associated kinetic parameters. This work presents the estimation of the parameters of a revised Droop model for biohydrogen production by Cyanothece sp. ATCC 51142 in batch and fed-batch reactors. The latter reactor type results in an optimal control problem in which the influent concentration of nitrate is optimized which has never been considered previously. The kinetic model developed is demonstrated to predict experimental data to a high degree of accuracy. A key contribution of this work is the prediction that hydrogen productivity can achieve 3365 mL/L through an optimally controlled fed-batch process, corresponding to an increase of 116% over other recently published strategies.

Item Type: Article
Subjects : Chemical Engineering
Divisions : Faculty of Engineering and Physical Sciences > Chemical and Process Engineering
Authors :
AuthorsEmailORCID
del Rio-Chanona, EAUNSPECIFIEDUNSPECIFIED
Dechatiwongse, PUNSPECIFIEDUNSPECIFIED
Zhang, DUNSPECIFIEDUNSPECIFIED
Maitland, GCUNSPECIFIEDUNSPECIFIED
Hellgardt, KUNSPECIFIEDUNSPECIFIED
Arellano-Garcia, HUNSPECIFIEDUNSPECIFIED
Vassiliadis, VSUNSPECIFIEDUNSPECIFIED
Date : 2 June 2015
Identification Number : 10.1021/acs.iecr.5b00612
Copyright Disclaimer : Copyright © 2015 American Chemical Society
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 24 Aug 2016 10:46
Last Modified : 24 Aug 2016 13:59
URI: http://epubs.surrey.ac.uk/id/eprint/811802

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