A Novel Optimization Method Using the Box–Behnken Design Integrated with a Back Propagation Neural Network–Genetic Algorithm for Hydrogen Purification DOI Creative Commons
Nannan Zhang,

Sumeng Hu,

Qianqian Xin

и другие.

Applied Sciences, Год журнала: 2024, Номер 15(1), С. 140 - 140

Опубликована: Дек. 27, 2024

Pressure swing adsorption (PSA) technology is among the most efficient techniques for purifying and separating hydrogen. A layered bed composed of activated carbon zeolite 5A a gas mixture (H2: 56.4 mol%, CH4: 26.6 CO: 8.4 N2: 5.5 CO2: 3.1 mol%) PSA model was built. The simulation validated using breakthrough curves. Then, six-step cycle built, purification performance studied. Box–Behnken design (BBD) method utilized in Design Expert software (version 10) to optimize performance. independent optimization parameters included time, pressure equalization feed flow rate. Quadratic regression models can be derived represent responses purity productivity. To explore better solution, novel machine learning with back propagation neural network (BPNN) then proposed, kind heuristic algorithm–genetic algorithm (GA) introduced enhance architecture BPNN. predicted outputs hydrogen production two kinds based on BPNN–GA BBD integrated (BBD–BPNN–GA). findings revealed that BBD–BPNN–GA exhibited mean square error (MSE) 0.0005, its R–value correlation coefficient being much closer 1, while an MSE 0.0035. This suggests has performance, as evidenced by lower higher compared model.

Язык: Английский

Optimizing Sorption Enhanced Methanation (SEM) of CO2 with Ni3Fe + LTA 5 A mixtures DOI
V.D. Mercader, Pablo Aragüés-Aldea, P. Durán

и другие.

Catalysis Today, Год журнала: 2025, Номер unknown, С. 115262 - 115262

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1

Enhancing carbon capture efficiency in biogas upgrading: A comprehensive review on adsorbents and adsorption isotherms DOI Creative Commons
Mahmoud M. Selim, Abdelouahed Tounsi, Hassanien Gomaa

и другие.

AIP Advances, Год журнала: 2024, Номер 14(4)

Опубликована: Апрель 1, 2024

Biogas results from the anaerobic digestion of organic materials, a reliable and sustainable process that simultaneously manages waste generates renewable energy. However, presence secondary impurities, such as carbon dioxide (CO2) other gases, in raw biogas diminishes its efficacy, significantly lowering energy content restricting utility across industry sectors. Moreover, these impurities contribute to various health environmental concerns, including their role exacerbating climate change global warming. Consequently, efficient separation CO2 is essential for upgrading biogas. The interest utilizing transportation fuel or substitute natural gas has spurred advancement technologies. While methods exist upgrading, those relying on absorption stand out particularly significant. Carbon capture efficiency pertains ability method effectively separate biogas, typically composed methane (CH4) gases. This crucial producing high-quality with minimal emissions, thus promoting sustainability. Enhancing reducing greenhouse emissions cleaner production. efficacy relies adsorbents adsorption isotherms, which are integral components this process. Improving elements vital enhancing purity, ensuring suitability applications, mitigating footprint. Traditional enhance by employing adsorbents, zeolites activated carbon, well optimizing isotherms. Surface modifications adjustments parameters have also led improved selectivity over still drawbacks, poor selectivity, difficulties regeneration, scalability. These limitations draw attention necessity ongoing optimization, investigating gaining thorough grasp how capacities, kinetics, interact. Adsorbents isotherms main topics study’s analysis, examines state art increasing upgrading. It discusses conventional methods, suggests alternate customized adjustments, optimization techniques means achieving progress. suggested changes, investigation materials be used increase effectiveness capture. To guarantee consistency, study specific rules procurement, preparation, calcining eggshells. In addition, balancing CH4 adsorption, improving adsorbent composition addressing scalability, long-term stability, practical implementation challenges critical. direct future studies toward more landscape adding our understanding

Язык: Английский

Процитировано

6

Biogas Refining: A Review on Advances in Metal-Oxide-Modified Activated Carbon for H2S and CO2 Removal DOI Creative Commons
R. Cesar, Paulo Marques, Jason R. Tavares

и другие.

Energy & Fuels, Год журнала: 2024, Номер unknown

Опубликована: Дек. 13, 2024

This review provides a systematic analysis of advancements in biogas refining and biomethane purification, focusing on the application biomass-derived activated carbon (AC) modified with metal oxides for removal hydrogen sulfide (H2S) dioxide (CO2). We explore technological innovations upgrading, including water scrubbing, pressure swing adsorption (PSA), membrane separation, others, highlighting their operational efficiency, environmental impact, cost-effectiveness. The H2S CO2 is critical converting raw biogas, primarily composed methane (CH4) CO2, into high-purity biomethane, making it suitable integration existing natural gas infrastructures. Our findings underscore potential these new composite materials to enhance upgrading technologies, fostering broader use as sustainable energy source. Furthermore, this offers valuable insights future design optimization processes, positioning AC essential advancing field purification.

Язык: Английский

Процитировано

4

Phosphorylated Cellulose Nanocrystals/ Polyvinyl Alcohol- L Arginine coating in Facilitated Transport Membranes for Biogas purification DOI Creative Commons
S. Nithin Mithra, Sandeep S. Ahankari

Carbohydrate Polymer Technologies and Applications, Год журнала: 2025, Номер unknown, С. 100679 - 100679

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Biogas upgrading through CO2 methanation in a multiple-inlet fixed bed reactor: Simulated parametric analysis DOI Creative Commons
Pablo Aragüés-Aldea, V.D. Mercader, P. Durán

и другие.

Journal of CO2 Utilization, Год журнала: 2025, Номер 93, С. 103038 - 103038

Опубликована: Фев. 12, 2025

Язык: Английский

Процитировано

0

Modelling and experiment for simultaneous biogas upgrading and CO2 capture by an advanced VPSA-SMB process DOI

Yao Miao,

Zhiling Qian,

Hongliang Cao

и другие.

Chemical Engineering Science, Год журнала: 2025, Номер unknown, С. 121371 - 121371

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Synergistic integration of zeolite engineering and fixed-bed column design for enhanced biogas upgrading: Adsorbent synthesis, CO2/CH4 separation kinetics, and regeneration assessment DOI
Rivaldi Sidabutar, Bambang Trisakti,

Irvan Irvan

и другие.

Separation and Purification Technology, Год журнала: 2024, Номер unknown, С. 129772 - 129772

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

2

Potential of low-cost materials for biogas purification, a review of recent developments DOI

Anceita Jepleting,

Achisa C. Mecha,

Dorcas Sombei

и другие.

Renewable and Sustainable Energy Reviews, Год журнала: 2024, Номер 210, С. 115152 - 115152

Опубликована: Дек. 2, 2024

Язык: Английский

Процитировано

2

Production of green methane by carbon dioxide capture from landfill biogas via pressure swing adsorption mediated by MOF ZIF-8 DOI
Ammar Ali, Jinsoo Kim, Dheyaa J. Jasim

и другие.

Energy Conversion and Management, Год журнала: 2024, Номер 321, С. 119090 - 119090

Опубликована: Окт. 4, 2024

Язык: Английский

Процитировано

1

A novel optimization method via Box-Behnken Design integrated with back propagation neural network - genetic algorithm on hydrogen purification DOI
Nannan Zhang,

Sumeng Hu

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Июль 23, 2024

Abstract High purity hydrogen is a necessary need for fuel cell. Pressure swing adsorption (PSA) technology one of the effective methods purification. The layered bed PSA model built and validated. To simplify calculation purification performance, quadratic regression equations are obtained by Box-Behnken design (BBD) method.With time, pressure equalization time feed flow rate from process as independent optimization parameters BBD method, productivity two responses. genetic algorithm (GA) introduced to back propagation neural network (BPNN) solve problem process. In order explore performance algorithms, novel method proposed in this work. With integrated with BPNN-GA optimize structure (BBD-BPNN-GA). results showed that BBD-BPNN-GA have better MSE 0.0005, while mean square error (MSE) 0.0035. And correlation coefficient R-values much closer 1of model, which illustrated can be effectively applied prediction

Язык: Английский

Процитировано

0