All Outputs (94)

Feasibility study of liquid metal-based thermal management for solid oxide electrolyzer cell (SOEC). (2025)
Journal Article
HASBI, S., AMBER, I., HOSSAIN, M., LEONG, K.Y. and SAHARUDIN, M.S. [2025]. Feasibility study of liquid metal-based thermal management for solid oxide electrolyzer cell (SOEC). International journal of green energy [online], Latest Articles. Available from: https://doi.org/10.1080/15435075.2025.2535374

Solid Oxide Electrolyzer Cells (SOECs) operate at elevated temperatures (700 to 1000 °C), leading to thermal management challenges due to significant temperature gradients that affect durability and performance. This study investigates the feasibilit... Read More about Feasibility study of liquid metal-based thermal management for solid oxide electrolyzer cell (SOEC)..

Development of a novel platform for the optimal design, sizing and energy management of grid-integrated hybrid photovoltaic-hydrogen energy systems. (2025)
Thesis
ATTEYA, A. 2025. Development of a novel platform for the optimal design, sizing and energy management of grid-integrated hybrid photovoltaic-hydrogen energy systems. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2935027

With the World moving towards the Net-Zero energy transition, there is an increasing demand to scale-up the investment in renewable energy systems. To enable the increased integration of intermittent renewables such as wind and solar energies, while... Read More about Development of a novel platform for the optimal design, sizing and energy management of grid-integrated hybrid photovoltaic-hydrogen energy systems..

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].

Analytical model for laser cutting in porous media. (2024)
Journal Article
MOSTAFA, A., HOSSAIN, M. and FAISAL, N. 2025. Analytical model for laser cutting in porous media. International journal of thermal sciences [online], 208, article number 109513. Available from: https://doi.org/10.1016/j.ijthermalsci.2024.109513

Laser cutting in porous media presents both challenges and opportunities for various applications. Laser cutting requires a deep understanding of heat transfer, materials and laser physics, and can involve nonlinear and transient effects. There is a... Read More about Analytical model for laser cutting in porous media..

Modelling and analysis of vibrations in flexible cylinders subjected to internal multiphase and external single-phase flows. (2024)
Thesis
RAVINDRAN MEENAKUMARI, H.N. 2024. Modelling and analysis of vibrations in flexible cylinders subjected to internal multiphase and external single-phase flows. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2801155

This study investigates the fluid-structure interaction phenomena of flexible straight cylinders subjected to internal two-phase slug flows and external vortex-induced vibrations (VIV) by taking into account the geometric and hydrodynamic nonlinearit... Read More about Modelling and analysis of vibrations in flexible cylinders subjected to internal multiphase and external single-phase flows..

Impact of COVID-19 on air quality in major cities of Bangladesh: a temporal analysis (2018–2023). (2024)
Journal Article
RAHMAN, S., AHMED, M.M., HOPKE, P.K., et al. [2024]. Impact of COVID-19 on air quality in major cities of Bangladesh: a temporal analysis (2018–2023). Earth systems and environment [online], Latest Articles. Available from: https://doi.org/10.1007/s41748-024-00506-w

Bangladesh is among the countries with the highest concentrations of particulate matter and other air pollutants according to the World Health Organization. The Department of Environment of Bangladesh has installed air monitoring systems in Dhaka, Ch... Read More about Impact of COVID-19 on air quality in major cities of Bangladesh: a temporal analysis (2018–2023)..

Experimental analysis of natural gas transport: using nanoporous ceramic cores as mimetic model for low permeability reservoirs. (2024)
Thesis
OGOUN, E. 2024. Experimental analysis of natural gas transport: using nanoporous ceramic cores as mimetic model for low permeability reservoirs. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2795722

This research investigates the use of nanoporous ceramic cores as mimetic models for studying natural gas transport in low permeability reservoirs. Low permeability reservoirs, such as tight sands, coalbed methane and shale gas formations, present si... Read More about Experimental analysis of natural gas transport: using nanoporous ceramic cores as mimetic model for low permeability reservoirs..

Machine learning approach to investigate high temperature corrosion of critical infrastructure materials. (2024)
Journal Article
MUTHUKRISHNAN, R., BALOGUN, Y., RAJENDRAN, V., PRATHURU, A., HOSSAIN, M. and FAISAL, N.H. 2024. Machine learning approach to investigate high temperature corrosion of critical infrastructure materials. High temperature corrosion of materials [online], 101(Suppl 1), pages 309-331. Available from: https://doi.org/10.1007/s11085-024-10312-4

Degradation of coatings and structural materials due to high temperature corrosion in the presence of molten salt environment is a major concern for critical infrastructure applications to meet its commercial viability. The choice of high value coati... Read More about Machine learning approach to investigate high temperature corrosion of critical infrastructure materials..

Prediction of gas-water multiphase flow behaviour and hydrates severity in gas-dominant subsea pipeline. [Preprint] (2024)
Preprint / Working Paper
UMUTEME, O.M., ISLAM, S.Z., HOSSAIN, M. and KARNIK, A. 2024. Prediction of gas-water multiphase flow behaviour and hydrates severity in gas-dominant subsea pipeline. [Preprint]. Hosted on Preprints [online]. Available from: https://doi.org/10.20944/preprints202409.1227.v1

This study focuses on enhancing the prediction of flow characteristics in gas pipelines under hydrate-forming conditions using a validated CFD model. Four-Quadrants approach was introduced to analyse the relationship between gas and water flowrates,... Read More about Prediction of gas-water multiphase flow behaviour and hydrates severity in gas-dominant subsea pipeline. [Preprint].

Applications of artificial intelligence in geothermal resource exploration: a review. (2024)
Journal Article
ALGAIAR, M., HOSSAIN, M., PETROVSKI, A., LASHIN, A. and FAISAL, N. 2024. Applications of artificial intelligence in geothermal resource exploration: a review. Deep underground science and engineering [online], 3(3): geothermal energy, pages 269-285. Available from: https://doi.org/10.1002/dug2.12122

Artificial intelligence (AI) has become increasingly important in geothermal exploration, significantly improving the efficiency of resource identification. This review examines current AI applications, focusing on the algorithms used, the challenges... Read More about Applications of artificial intelligence in geothermal resource exploration: a review..

Introduction to hydrogen and hydrogen economy: opportunities and challenges. (2024)
Presentation / Conference Contribution
HOSSAIN, M., FAISAL, N., PRATHURU, A., KURUSHINA, V., RAJENDRAN, V., CAI, Q., HORRI, B. and KUMAR, A. 2024. Introduction to hydrogen and hydrogen economy: opportunities and challenges. Keynote presented at the 4th International conference on sustainable energy, environment and green technologies 2024 (ICSEEGT 2024), 9-10 August 2024, Jaipur, India.

Hydrogen is a versatile energy career and is key to decarbonize a number of difficult sectors. Hydrogen can be used to generate electricity, used as fuel for various forms of transport, domestic heating and cooking. However, although it is an abundan... Read More about Introduction to hydrogen and hydrogen economy: opportunities and challenges..

Thermal spray coatings for molten salt facing structural parts and enabling opportunities for thermochemical cycle electrolysis. (2024)
Journal Article
FAISAL, N.H., RAJENDRAN, V., PRATHURU, A., HOSSAIN, M., MUTHUKRISHNAN, R., BALOGUN, Y., PANCHOLI, K., HUSSAIN, T., LOKACHARI, S., HORRI, B.A. and BANKHEAD, M. 2024. Thermal spray coatings for molten salt facing structural parts and enabling opportunities for thermochemical cycle electrolysis. Engineering reports [online], 6(9), article number e12947. Available from: https://doi.org/10.1002/eng2.12947

Thermochemical water splitting stands out as the most efficient techniques to produce hydrogen through electrolysis at a high temperature, relying on a series of chemical reactions within a loop. However, achieving a durable thermochemical cycle sys... Read More about Thermal spray coatings for molten salt facing structural parts and enabling opportunities for thermochemical cycle electrolysis..