Design of a hybrid artificial intelligence system for real-time quantification of impurities in gas streams: application in CO2 capture and storage. [Dataset]

doi:10.1016/j.jgsce.2025.205546

Modelling metasurface patterned anode for enhanced performance of solid oxide electrolyser. (2025)
Journal Article
KURUSHINA, V., HOSSAIN, M., HASBI, S., SOMAN, A., PRATHURU, A., CAI, Q., HORRI, B.A. and FAISAL, N.H. 2025. Modelling metasurface patterned anode for enhanced performance of solid oxide electrolyser. Journal of power sources [online], 648, article number 237436. Available from: https://doi.org/10.1016/j.jpowsour.2025.237436

Solid oxide electrolysers (SOE) are a promising type of technology of hydrogen production with the potential to be a part of the sustainable future of the energy sector. Advantageous efficiency of these devices is coming from the combined use of the... Read More about Modelling metasurface patterned anode for enhanced performance of solid oxide electrolyser..

A multi-objective optimization strategy of microgrid energy management toward coordinated charging for electric vehicles and economic costing. (2025)
Journal Article
SUN, W., JIN, Y., ALAM, F., ZHANG, Y. and HOSSAIN, M. 2025. A multi-objective optimization strategy of microgrid energy management toward coordinated charging for electric vehicles and economic costing. Energy sources, Part A: recovery, utilization and environmental effects [online], 47(1), pages 12032-12058. Available from: https://doi.org/10.1080/15567036.2025.2505956

The rapid proliferation of electric vehicles (EVs) presents significant grid challenges to the construction and stable operation of urban electricity microgrids. To mitigate operational instability risks induced by uncoordinated large-scale EV chargi... Read More about A multi-objective optimization strategy of microgrid energy management toward coordinated charging for electric vehicles and economic costing..

Application of machine learning in the determination of rock brittleness for CO2 geosequestration. (2025)
Journal Article
AMINAHO, E.N., HOSSAIN, M., FAISAL, N.H. and SANAEE, R. 2025. Application of machine learning in the determination of rock brittleness for CO2 geosequestration. Machine learning with applications [online], 20, article number 100656. Available from: https://doi.org/10.1016/j.mlwa.2025.100656

The underground storage of carbon dioxide (CO2), also called CO2 geosequestration, represents one of the most promising options for reducing greenhouse gases in the atmosphere. However, fluid-rock interactions in reservoir and cap rocks before and du... Read More about Application of machine learning in the determination of rock brittleness for CO2 geosequestration..

AiION: novel deep learning chemical geothermometer for temperature prediction of deep geothermal reservoirs. (2025)
Journal Article
ALGAIAR, M., BANO, S., LASHIN, A., HOSSAIN, M., FAISAL, N.H. and ABU SALEM, H.S. 2025. AiION: novel deep learning chemical geothermometer for temperature prediction of deep geothermal reservoirs. Renewable energy [online], 248, article number 123154. Available from: https://doi.org/10.1016/j.renene.2025.123154

This study introduces AiION, a novel deep learning chemical geothermometer designed to predict deep geothermal reservoir temperatures and address the limitations of traditional geothermometry methods. By integrating classical geothermometry, multi-co... Read More about AiION: novel deep learning chemical geothermometer for temperature prediction of deep geothermal reservoirs..

Performance optimisation of solid oxide electrolyser cell (SOEC) using response surface method (RSM) for thermal gradient reduction. (2025)
Journal Article
HASBI, S., AMBER, I., HOSSAIN, M. and SAHARUDIN, M.S. 2025. Performance optimisation of solid oxide electrolyser cell (SOEC) using response surface method (RSM) for thermal gradient reduction. International journal of sustainable energy [online], 44(1), article number 2482837. Available from: https://doi.org/10.1080/14786451.2025.2482837

The Solid Oxide Electrolyser Cell (SOEC) offers high-efficiency hydrogen production due to favourable thermodynamics and reaction kinetics at elevated temperatures. However, high operating temperatures increase energy consumption and thermal gradient... Read More about Performance optimisation of solid oxide electrolyser cell (SOEC) using response surface method (RSM) for thermal gradient reduction..

Geothermal cooling solutions for rural communities at Homa Bay, Kenya: a CFD modelling study. (2025)
Journal Article
HOSSAIN, M., LASSALE, M., VERTIGANS, S., DEVECI, G., ELYAN, E., BURGESS, K. and OKOWA, M. 2025. Geothermal cooling solutions for rural communities at Homa Bay, Kenya: a CFD modelling study. International journal of sustainable engineering [online], 18(1), article number 2480095. Available from: https://doi.org/10.1080/19397038.2025.2480095

A Computational Fluid Dynamics (CFD) modelling study has been presented to analyse the cooling impact of a geothermal cooling system based on the Earth-Air-Tunnel-Heat-Exchanger (EATHE) concept to provide passive cooling to heat-stressed vulnerable p... Read More about Geothermal cooling solutions for rural communities at Homa Bay, Kenya: a CFD modelling study..

Cohesive zone model for the thermomechanical deformation of a high temperature tubular solid oxide electrolysis cell. (2025)
Journal Article
KURUSHINA, V., PRATHURU, A., SOMAN, A., HOSSAIN, M., CAI, Q., HORRI, B.A. and FAISAL, N.H. 2025. Cohesive zone model for the thermomechanical deformation of a high temperature tubular solid oxide electrolysis cell. Engineering fracture mechanics [online], 318, article number 110987. Available from: https://doi.org/10.1016/j.engfracmech.2025.110987

High-temperature processes for hydrogen production unlock the potential for high energy efficiency combined with a relatively low environmental impact. However, structural integrity should be carefully considered. Solid oxide electrolysis cells (SOEC... Read More about Cohesive zone model for the thermomechanical deformation of a high temperature tubular solid oxide electrolysis cell..

Design of a hybrid artificial intelligence system for real-time quantification of impurities in gas streams: application in CO2 capture and storage. (2025)
Journal Article
AMINAHO, E.N., AMINAHO, N.S., HOSSAIN, M., FAISAL, N.H. and AMINAHO, K.A. 2025. Design of a hybrid artificial intelligence system for real-time quantification of impurities in gas streams: application in CO2 capture and storage. Gas science and engineering [online], 134, article number 205546. Available from: https://doi.org/10.1016/j.jgsce.2025.205546

The concentration of gases in gas streams can be monitored using sensors. However, gas sensors can lose their response accuracy due to mechanical wear or damage, and environmental factors such as exposure to unusual temperature and pressure condition... Read More about Design of a hybrid artificial intelligence system for real-time quantification of impurities in gas streams: application in CO2 capture and storage..

Design of a hybrid artificial intelligence system for real-time quantification of impurities in gas streams: application in CO2 capture and storage. [Dataset] (2025)
Data
AMINAHO, E.N., AMINAHO, N.S., HOSSAIN, M., FAISAL, N.H. and AMINAHO, K.A. 2025. Design of a hybrid artificial intelligence system for real-time quantification of impurities in gas streams: application in CO2 capture and storage. [Dataset]. Gas science and engineering [online], 134, article number 205546. Available from: https://doi.org/10.1016/j.jgsce.2025.205546

This study proposed a new sensor calibration methodology and the design of a hybrid artificial intelligence system for real-time quantification of impurities in gas streams. Furthermore, machine learning models were developed in this study to explore... Read More about Design of a hybrid artificial intelligence system for real-time quantification of impurities in gas streams: application in CO2 capture and storage. [Dataset].

All Outputs (9)