On-line heuristic optimization strategy to maximize the hydrogen production rate in a continuous stirred tank reactor

Ramírez-Morales, Juan E.; Zúñiga, Ixbalank Torres; Buitrón, Germán

doi:10.1016/j.procbio.2015.03.003

Cited by 16 publications

(3 citation statements)

References 37 publications

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“…On-line optimization was used for maximizing the Hydrogen Production Rate (HPR) in a 1.25 L continuous stirred tank bioreactor. 29 By applying the optimization strategy, the hydrogen yield was improved to 29%. More recently, the work by Ahmad et al 30 addressed the problem of dealing with plant-model mismatch in real-time optimization applications.…”

Section: Introductionmentioning

confidence: 99%

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Real‐time optimization and control for polyhydroxybutyrate fed‐batch production at pilot plant scale

Ochoa

Alcaraz

2020

J of Chemical Tech & Biotech

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BACKGROUND: Polyhydroxyalkanoate-type polymers (PHAs) are claimed as an alternative for replacing conventional plastics; but the economic feasibility of its production should still be assured in order to accomplish such a massive goal. In a previous work on fed-batch production of PHAs, it was shown that the process yield and the properties of the biopolymer obtained highly depend on the type of feeding strategy applied. Such results evidenced the need for implementing optimization-based control strategies to control the process in real-time, rather than implementing pre-defined feeding policies. RESULTS: In this study, real-time optimization for the fed-batch production of PHAs at pilot plant scale from a low-cost substrate (vinasses-molasses mixture) is presented. Two optimization-based control strategies were developed to calculate the optimal feed flow rate. One strategy considered only the process productivity as an objective, whereas the other incorporated not only productivity but also a profitability-oriented objective. The latter resulted in a productivity of 0.364 g/L h and a maximal polymer concentration of 62.03% cell dry weight, versus 0.043 g/L h and 6.25% attained by applying a traditional feedback control law. CONCLUSION: Implementation of closed-loop based-optimal control policies in PHA production has led to higher yield and polymer concentration, confirming that an improved operation of fed-batch bioprocesses is reached when the feeding policy is updated in real-time, according to an optimization goal. Despite implementation costs, applying this approach might be the best alternative for simultaneously facing uncertainties and achieving optimal operation at an industrial scale, especially when living microorganisms are used as factories.

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Section: Introductionmentioning

confidence: 99%

“…genetic algorithms and differential evolution) can satisfactorily solve on‐line optimization problems. On‐line optimization was used for maximizing the Hydrogen Production Rate (HPR) in a 1.25 L continuous stirred tank bioreactor 29 . By applying the optimization strategy, the hydrogen yield was improved to 29%.…”

Section: Introductionmentioning

confidence: 99%

Real‐time optimization and control for polyhydroxybutyrate fed‐batch production at pilot plant scale

Ochoa

Alcaraz

2020

J of Chemical Tech & Biotech

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“…Thus, we combine the robustness properties of quadratic

D

‐stability and both, sliding modes and

H_{\infty}

theories, in a coupled observer to reconstruct the unknown input. This unknown input may represent a fault in a system or information missed to solve a model‐based optimisation problem [36, 37]. Furthermore, it is shown to be applicable to a non‐linear system of interest in environmental biotechnology.…”

Section: Introductionmentioning

confidence: 99%