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Novel Feedback Control to Improve Biohydrogen Production by Desulfovibrio alaskensis

  • H. I. Velázquez-Sánchez , H. F. Puebla-Nuñez und R. Aguilar-López EMAIL logo
Veröffentlicht/Copyright: 31. August 2016
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Abstract

In this paper, a novel control algorithm to increase biohydrogen production in a continuous reactor using the sulphate-reducing bacteria Desulfovibrio alaskensis with lactate as carbon source is proposed. This work was conducted via numerical simulations, based on an experimentally corroborated kinetic model, considered as a benchmark of the system. A bifurcation analysis to identify the reactor’s steady-state performance was done in order to identify feasible operating regions. The proposed controller cancels the upper bounds of the reactor, imposing a finite-time convergence to the selected set point. The closed-loop stability of the reactor is analysed via the dynamic of the regulation error. Finally, numerical experiments were conducted in order to compare the dynamic behaviour of the proposed closed-loop system versus its open-loop counterpart and a well-tuned classical PI controller one. The proposed methodology increases the hydrogen productivity controlling with a satisfactory performance the biomass concentration, which is considered as the control output.

Acknowledgment

H.I. Velázquez-Sánchez is very grateful with CONACyT for the financial support via a postgraduate scholarship and with CINVESTAV-IPN for supplying the research facilities to develop this work.

Nomenclature

SymbolDescriptionUnits
µmaxMaximum bacterial specific growth rateh–1
AcAcetate concentration into the reactormg L–1
eAbsolute estimation error----
HHydrogen concentration into the reactormL L–1
k1Proportional gain of the proposed controller----
k2Proposed controller tuning variable----
KdCell death constanth–1
KisLevenspiel’s product inhibition constantmg L–1
klacLactate affinity constant for biomass growthmg L–1
klhLactate affinity constant for hydrogen productionmg L–1
KsSubstrate affinity constantmg L–1
LacLactate concentration into the reactormg L–1
LacinLactate concentration of the feeding solutionmg L–1
mProposed controller tuning variable----
nLevenspiel’s product inhibition exponent----
rmaxMaximum specific hydrogen production ratemg L–1 h–1
S-Sulfide concentration into the reactormg L–1
SOSulphate concentration into the reactormg L–1
SOinSulphate concentration of the feeding solutionmg L–1
XBiomass concentrationmg L–1
Y1Biomass yield over lactatemg mg–1
Y2Biomass yield over sulphatemg mg–1
Y3Sulfide yield over biomassmg mg–1
Y4Acetate yield over biomassmg mg–1
Y5Hydrogen yield over lactatemg mL–1

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Published Online: 2016-8-31
Published in Print: 2016-12-1

©2016 by De Gruyter

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