2015
DOI: 10.1016/j.ces.2015.01.059
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Analysis of the cyanobacterial hydrogen photoproduction process via model identification and process simulation

Abstract: Dynamic simulation models for cyanobacterial hydrogen production process. Parameter estimation via dynamic optimisation. Proposed modified models exhibit higher accuracy for real process simulation. Interpretation of higher performance of CSTR over PFR for this process. Fed-batch processes are proposed as the optimal reactor operation. a b s t r a c t Cyanothece sp. ATCC 51142 is considered a microorganism with the potential to generate sustainable hydrogen in the future. However, few kinetic models are capabl… Show more

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Cited by 28 publications
(35 citation statements)
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References 25 publications
(44 reference statements)
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“…Moreover, to thoroughly explore the feasibility of applying ANNs into an offline optimal control framework where the entire process behavior of an unknown experiment is predicted before its implementation (del Rio-Chanona et al, 2015a), the current ANNs are used to simulate the processes Test 1 and Test 2. It follows the procedure that a single initial experimental point is supplied to the network, then the ANN computes the next state.…”
Section: Predictability Of the Anns On Offline Frameworkmentioning
confidence: 99%
See 1 more Smart Citation
“…Moreover, to thoroughly explore the feasibility of applying ANNs into an offline optimal control framework where the entire process behavior of an unknown experiment is predicted before its implementation (del Rio-Chanona et al, 2015a), the current ANNs are used to simulate the processes Test 1 and Test 2. It follows the procedure that a single initial experimental point is supplied to the network, then the ANN computes the next state.…”
Section: Predictability Of the Anns On Offline Frameworkmentioning
confidence: 99%
“…Hence, executing process optimization within a control scheme can remarkably improve the process profitability (del Rio‐Chanona et al, ). In order to resolve this challenge, it is essential to initially construct a robust mathematical model, which is able to accurately simulate and predict the dynamic performance of the long‐term photo‐production system, for both microalgae growth and lutein production throughout the entire process (Zhang et al, ).…”
Section: Introductionmentioning
confidence: 99%
“…A previous study (Zhang et al, ) presents a dynamic model for the simulation of Cyanothece sp. photo‐autotrophic growth under nitrogen and carbon (CO 2 ) sufficiency.…”
Section: Model Construction and Parameter Estimationmentioning
confidence: 99%
“…Due to different growth phases, nonmooth behaviour is observed for the physical system. To accommodate this difficulty, switching functions have been proposed [15,57]. In this work the nonsmooth behaviour is modelled using a sign(·) function.…”
Section: Case Study 3 -Nonsmooth Modelmentioning
confidence: 99%