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Optimal Operation Strategy for Biohydrogen Production


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Authors

Del Rio-Chanona, EA 
Dechatiwongse, P 
Zhang, D 
Maitland, GC 
Hellgardt, K 

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.

Description

Keywords

40 Engineering, 7 Affordable and Clean Energy

Journal Title

Industrial and Engineering Chemistry Research

Conference Name

Journal ISSN

0888-5885
1520-5045

Volume Title

54

Publisher

American Chemical Society (ACS)
Sponsorship
Author E. A. del Rio-Chanona would like to acknowledge CONACyT scholarship No. 522530 and the Secretariat of Public Education and the Mexican government for funding this project. Author P. Dechatiwongse is supported by a scholarship from the Royal Thai Government, Thailand. Solar Hydrogen Project was funded by the UK Engineering and Physical Sciences Research Council (EPSRC), project reference EP/F00270X/1.