Rapid prediction, optimization and design of solar membrane reactor by data-driven surrogate model

Yang, Wei-Wei; Tang, Xin-Yuan; Ma, Xu; Li, Jia-Chen; Xu, Chao; He, Ya-Ling

doi:10.1016/j.energy.2023.129432

Energy

2023

DOI: 10.1016/j.energy.2023.129432

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Rapid prediction, optimization and design of solar membrane reactor by data-driven surrogate model

Wei-Wei Yang,

Xin-Yuan Tang,

Xu Ma

et al.

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2024

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Cited by 3 publications

References 56 publications

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Solar-Driven membrane reactors with wide temperature range for chemical looping dry reforming of Methane: Concept validation and one-dimensional analysis

Xing,

Xu,

Jin

et al. 2024

Energy Conversion and Management

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Solar-Driven membrane reactors with wide temperature range for chemical looping dry reforming of Methane: Concept validation and one-dimensional analysis

Xing,

Xu,

Jin

et al. 2024

Energy Conversion and Management

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Multi-objective optimization of propane steam reforming in a multi-layer solar porous reformer; numerical simulation and response surface methodology

Jahangir,

Pourali,

Esfahani

2024

International Journal of Hydrogen Energy

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Optimisation of exhaust emissions, vibration, and noise of unmodified diesel engine fuelled with canola biodiesel-diesel blends with natural gas addition by using response surface methodology

Özgür,

Uludamar,

Soyhan

et al. 2024

STET

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The paper presents methods to determine the optimum input parameters of CNG addition, biodiesel blend ratio, and engine speed to improve engine responses in terms of exhaust emissions, vibration, and noise of CNG-biodiesel-diesel fuelled engine. Box-Behnken based on response surface methodology was used to predict and optimise input parameters. Variance analysis was applied to determine the significant relationship between the input parameters and engine responses. At optimum input parameters (CNG addition=9.24 L/min, biodiesel blend ratio=40%, engine speed=1524.24 rpm), the optimum engine responses of NOx, CO, CO2, O2, engine vibration acceleration, and noise were 93.77 ppm, 438.05 ppm, 1.47%, 18.59%, 37.17 m/s2 and 91.34 dB[A], respectively. In terms of coefficient determination of R2, the values were 99.11%, 99.22%, 99.41%, 99.70%, 98.65%, and 98.60% respectively. The correlation between the optimised result and the engine test result showed an acceptable error limit for NOx, CO, CO2, O2, engine vibration acceleration, and noise as 4.2%, 3.8%, 4.9%, 0.25%, 4.12%, and 0.17%, respectively.

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Rapid prediction, optimization and design of solar membrane reactor by data-driven surrogate model

Cited by 3 publications

References 56 publications

Solar-Driven membrane reactors with wide temperature range for chemical looping dry reforming of Methane: Concept validation and one-dimensional analysis

Solar-Driven membrane reactors with wide temperature range for chemical looping dry reforming of Methane: Concept validation and one-dimensional analysis

Multi-objective optimization of propane steam reforming in a multi-layer solar porous reformer; numerical simulation and response surface methodology

Optimisation of exhaust emissions, vibration, and noise of unmodified diesel engine fuelled with canola biodiesel-diesel blends with natural gas addition by using response surface methodology

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