Bayesian Optimization of Operating Points of a Continuous Perhydro‐Dibenzyltoluene Dehydrogenation Reactor

Liquid organic hydrogen carriers (LOHCs) are a promising option for hydrogen storage, but a high efficiency of the LOHC cycle is essential in order to serve as an attractive technology in the context of decarbonization. This paper presents different methods to optimize steady‐state operating points...

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Bibliographic Details
Published in:International journal of energy research 2024-01, Vol.2024 (1)
Main Authors: Verhoolen, Alexander, Geißelbrecht, Michael, Kadar, Julian, Preuster, Patrick, Wasserscheid, Peter, Graichen, Knut
Format: Article
Language:English
Subjects:
Algorithms
Bayesian analysis
Bayesian theory
Chemical reactors
Decarbonization
Dehydrogenation
Design optimization
Fossil fuels
Heat
Hydrogen
Hydrogen storage
Hydrogenation
Optimization
Probability theory
Process controls
Reactors
Steady state
Steady state models
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Summary:Liquid organic hydrogen carriers (LOHCs) are a promising option for hydrogen storage, but a high efficiency of the LOHC cycle is essential in order to serve as an attractive technology in the context of decarbonization. This paper presents different methods to optimize steady‐state operating points of a LOHC dehydrogenation (DH) reactor. For this purpose, an analytical model of a DH reactor is described, which is extended to a hybrid model (HM) to achieve sufficient model accuracy. The model quality is subsequently validated by measurements. For the optimization of the steady‐state operation point, a Bayesian optimization framework is presented and compared to classical model‐based optimization. The methods are evaluated with the HM as well as with experimental results.
ISSN:0363-907X
1099-114X
DOI:10.1155/2024/5627453