Controlling a solar receiver with multiple thermochemical reactors for hydrogen production by an LSTM neural network based cascade controller

Oberkirsch, Laurin; Grobbel, Johannes; Quinto, Daniel Maldonado; Schwarzbözl, Peter; Hoffschmidt, Bernhard

doi:10.1016/j.solener.2022.08.007

Cited by 9 publications

(1 citation statement)

References 43 publications

(56 reference statements)

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“…Having a set of calculation equations for the Nusselt number and several different methods for determining the convective heat transfer coefficient in a macroporous medium (numerical calculation method [ 18 , 19 ], analytical calculation method based on the Nusselt and Reynolds number, Nusselt and Peclet number, analytical method of heat transfer calculation as thermal resistance [ 15 ], analytical method of Fourier solution or homotropy analysis method [ 20 ], etc. ), it can be concluded that an integrated approach is required to determine the convective heat transfer coefficient of macroporous media.…”

Section: Methods Of Contemporary Models Of Convective Heat Transfer C...mentioning

confidence: 99%

Analytical Determination of Nusselt Numbers for Convective Heat Transfer Coefficients in Channel Macroporous Absorbers

Cheilytko,

Schwarzbözl,

Broeske

2024

Materials

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This article introduces a novel analytical equation for computing the Nusselt number within the macroporous structures of channel absorbers utilized in high-temperature solar receivers. The equation incorporates heat and mass transfer processes occurring within boundary layers as fluid flows through complex-shaped macroporous absorber channels. The importance of accounting for the length of the thermodynamic boundary layer within channel-type macroporous media when calculating heat transfer coefficients using the Nusselt equation is demonstrated. By incorporating proposed indicators of porosity and flow characteristics, this method significantly enhances the accuracy of heat transfer coefficient calculations for such media. Discrepancies observed in existing calculation relationships and experiments are attributed to the omission of certain proposed values in the Nusselt number for macroporous media. To address this, empirical coefficients for the Nusselt number are derived using statistical methods. The resulting semi-empirical equation is applied to macroporous absorbers in solar receivers. The findings enable more accurate predictions of future absorber characteristics, enhancing their efficiency. The derived equation is successfully validated against numerical data across various geometric structures of absorbers in concentrated solar power plants.

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Section: Methods Of Contemporary Models Of Convective Heat Transfer C...mentioning

confidence: 99%

Analytical Determination of Nusselt Numbers for Convective Heat Transfer Coefficients in Channel Macroporous Absorbers

Cheilytko,

Schwarzbözl,

Broeske

2024

Materials

Self Cite

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Reinforcement learning for heliostat aiming: Improving the performance of Solar Tower plants

Carballo,

Bonilla,

Cruz

et al. 2025

Applied Energy

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Back propagation neural network based proportional-integral hybrid control strategy for a solar methane reforming reactor

Zhang,

Tang,

Yang

et al. 2024

International Journal of Hydrogen Energy

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Controlling a solar receiver with multiple thermochemical reactors for hydrogen production by an LSTM neural network based cascade controller

Cited by 9 publications

References 43 publications

Analytical Determination of Nusselt Numbers for Convective Heat Transfer Coefficients in Channel Macroporous Absorbers

Analytical Determination of Nusselt Numbers for Convective Heat Transfer Coefficients in Channel Macroporous Absorbers

Reinforcement learning for heliostat aiming: Improving the performance of Solar Tower plants

Back propagation neural network based proportional-integral hybrid control strategy for a solar methane reforming reactor

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