Artificial intelligence assisted prediction of optimum operating conditions of shell and tube heat exchangers: A grey‐box approach

CAAI Transactions on Intelligence Technology, Год журнала: 2024, Номер unknown

Опубликована: Окт. 24, 2024

Abstract In this study, a Grey‐box (GB) model was developed to predict the optimum mass flow rates of inlet streams Shell and Tube Heat Exchanger (STHE) under varying process conditions. Aspen Design Rating (Aspen‐EDR) initially used construct first principle (FP) STHE using industrial data. The Genetic Algorithm (GA) incorporated into FP attain minimum exit temperature for hot kerosene stream A dataset comprised conditions generated through FP‐GA integration utilised develop an Artificial Neural Networks (ANN) model. Subsequently, ANN merged with by substituting GA, form GB model, that is, integration, achieved higher effectiveness lower outlet than those derived standalone Performance framework also comparable approach but it significantly reduced computation time required estimating proposed GB‐based method improved STHE's ability extract energy from strengthened its resilience cope diverse

Язык: Английский

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Simulation and optimization of methanol production process via bi-reforming of methane: A novel genetic algorithm-based approach in Python

International Journal of Hydrogen Energy, Год журнала: 2025, Номер 101, С. 1161 - 1171

Опубликована: Янв. 6, 2025

Язык: Английский

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4E analysis of an integrated system of catalytic distillation dehydrogenation system of perhydro benzyltoluene and solid oxide fuel cell

International Journal of Hydrogen Energy, Год журнала: 2025, Номер 111, С. 342 - 360

Опубликована: Фев. 26, 2025

Язык: Английский

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Advances in membrane-assisted reactors: An integrative review for modeling and experiments

Separation and Purification Technology, Год журнала: 2025, Номер unknown, С. 133095 - 133095

Опубликована: Апрель 1, 2025

Язык: Английский

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Thermodynamic Analysis of the CO2 Conversion to Methanol: Direct Conversion

Elsevier eBooks, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

Язык: Английский

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Lattice Boltzmann modeling for enhanced membrane separation of geothermal energy utilization

Applied Thermal Engineering, Год журнала: 2024, Номер unknown, С. 124912 - 124912

Опубликована: Ноя. 1, 2024

Язык: Английский

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