Energy efficiency and productivity of a Pressure Swing Adsorption plant to purify bioethanol: Disturbance attenuation through geometric control

Digital Chemical Engineering, Год журнала: 2024, Номер unknown, С. 100209 - 100209

Опубликована: Дек. 1, 2024

Язык: Английский

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Green Hydrogen Extraction from Natural Gas Transmission Grids Using Hybrid Membrane and PSA Processes Optimized via Bayesian Techniques

Digital Chemical Engineering, Год журнала: 2025, Номер unknown, С. 100234 - 100234

Опубликована: Март 1, 2025

Язык: Английский

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Neural network‐assisted multi‐objective optimization of dual‐reflux pressure swing adsorption in biogas upgrading

Journal of Chemical Technology & Biotechnology, Год журнала: 2025, Номер unknown

Опубликована: Апрель 23, 2025

Abstract BACKGROUND Dual‐reflux pressure swing adsorption (DR‐PSA) is an advanced variant of conventional PSA systems, capable simultaneously producing two high‐purity products with high recovery. However, inherent trade‐offs among purity, productivity, and cycle work necessitate multi‐objective optimization (MOO) to balance performance. This study investigates the MOO DR‐PSA process for biogas upgrading using artificial neural networks (ANNs) as surrogate models. Single‐hidden‐layer ANNs were developed various structures training algorithms integrated into non‐dominated sorting genetic algorithm‐II solve problems. RESULTS Different performance metrics require distinct ANN architectures algorithms, indicating no universal model selection. The Adam‐ selu‐ 446 CH 4 purity in light product (LP) relu ‐398 work, both on a large dataset, exhibited accuracy, 0.9975 0.9959, respectively. Meanwhile, elu ‐212 bed small achieved 0.9988. Pareto front maximizing LP productivity revealed sharp knee region, significant trade‐off. Under constrained fronts emerged at different levels (>91% 91.5%), fewer feasible solutions higher purity. Ultimately, optimized conditions resulted enhancement by least 17%, reduction much 34%, 30%, compared base case. CONCLUSION ANN‐assisted optimizes performance, offering insights development, mapping, identification operational regions. © 2025 Society Chemical Industry (SCI).

Язык: Английский

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Insights into thermodynamic characteristics of CO2/H2O(g) co-assist coke oven gas reforming using steel slag as heat carrier

Energy, Год журнала: 2025, Номер unknown, С. 136512 - 136512

Опубликована: Май 1, 2025

Язык: Английский

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The Influence of Hydrogen Concentration on the Hazards Associated with the Use of Coke Oven Gas

Energies, Год журнала: 2024, Номер 17(19), С. 4804 - 4804

Опубликована: Сен. 25, 2024

Coke oven gas (COG), as a by-product of the coking process and mixture with high hydrogen content, is an important potential component sustainable economy industry. Ongoing studies analyses are looking at many opportunities for utilization coke gas, including production hydrogen, methanol or other chemicals. However, it not to forget that all processes this may pose hazard humans environment. This due physicochemical properties COG content flammable gases such methane carbon monoxide in its composition. Potential hazardous events also related toxic substances composition gas. The publication focuses on occurrence fire explosion result uncontrolled release purified from installation. zones associated these phenomena presented concerning different levels concentration influence selected factors range zones. Zones human deaths reached maximum about 130 m site failure, depending composition, level damage parameters did occur. zone injury 12 m.

Язык: Английский

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Thermodynamic analysis of steel slag assisted coke oven gas reforming reaction

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 91, С. 718 - 727

Опубликована: Окт. 17, 2024

Язык: Английский

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Exergy analysis of a sustainable system with a fourth-generation nuclear power plant based on radial basis function kernel support vector regression method

International Journal of Hydrogen Energy, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 1, 2024

Язык: Английский

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