Outputs (14)

Comparative energy and exergy analysis of ortho-para hydrogen and non-ortho-para hydrogen conversion in hydrogen liquefaction (2024)
Journal Article
Ahmad, A., Oko, E., & Ibhadon, A. (2024). Comparative energy and exergy analysis of ortho-para hydrogen and non-ortho-para hydrogen conversion in hydrogen liquefaction. International Journal of Hydrogen Energy, 78, 991-1003. https://doi.org/10.1016/j.ijhydene.2024.06.368

This study reports the comparative energy and exergy analysis of ortho-para hydrogen and non-ortho-para hydrogen conversion in hydrogen liquefaction process. Two cases were simulated, case A – hydrogen liquefaction with ortho-parahydrogen conversion... Read More about Comparative energy and exergy analysis of ortho-para hydrogen and non-ortho-para hydrogen conversion in hydrogen liquefaction.

Nonlinear model predictive control (NMPC) of the solvent-based post-combustion CO2 capture process (2020)
Journal Article
Akinola, T. E., Oko, E., Wu, X., Ma, K., & Wang, M. (2020). Nonlinear model predictive control (NMPC) of the solvent-based post-combustion CO2 capture process. Energy, 213, Article 118840. https://doi.org/10.1016/j.energy.2020.118840

The flexible operation capability of solvent-based post-combustion capture (PCC) process is vital to efficiently meet the load variation requirement in the integrated upstream power plant. This can be achieved through the deployment of an appropriate... Read More about Nonlinear model predictive control (NMPC) of the solvent-based post-combustion CO2 capture process.

Study of the impacts of supplements on the specific methane production during anaerobic digestion of the West African Gamba and Guinea Grass (2020)
Journal Article
Egwu, U., Sallis, P., & Oko, E. (2021). Study of the impacts of supplements on the specific methane production during anaerobic digestion of the West African Gamba and Guinea Grass. Fuel, 285, Article 119060. https://doi.org/10.1016/j.fuel.2020.119060

Nutrient supplementation could improve the biomethane production of different biomass feedstocks during anaerobic digestion. In this study, the impact of nutrient supplementation on the anaerobic digestion of the West African Gamba and Guinea Grass f... Read More about Study of the impacts of supplements on the specific methane production during anaerobic digestion of the West African Gamba and Guinea Grass.

Flexible operation of large-scale coal-fired power plant integrated with solvent-based post-combustion CO2 capture based on neural network inverse control (2020)
Journal Article
Liao, P., Li, Y., Wu, X., Wang, M., & Oko, E. (2020). Flexible operation of large-scale coal-fired power plant integrated with solvent-based post-combustion CO2 capture based on neural network inverse control. International journal of greenhouse gas control, 95, Article 102985. https://doi.org/10.1016/j.ijggc.2020.102985

Post-combustion carbon capture (PCC) with chemical absorption has strong interactions with coal-fired power plant (CFPP). It is necessary to investigate dynamic characteristics of the integrated CFPP-PCC system to gain knowledge for flexible operatio... Read More about Flexible operation of large-scale coal-fired power plant integrated with solvent-based post-combustion CO2 capture based on neural network inverse control.

A new method for scale-up of solvent-based post-combustion carbon capture process with packed columns (2019)
Journal Article
Otitoju, O., Oko, E., & Wang, M. (2020). A new method for scale-up of solvent-based post-combustion carbon capture process with packed columns. International journal of greenhouse gas control, 93, Article 102900. https://doi.org/10.1016/j.ijggc.2019.102900

© 2019 Elsevier Ltd Solvent-based post-combustion carbon capture (PCC) with packed column is the most commercially ready CO2 capture technology. To study commercial-scale PCC processes, validated pilot scale models are often scaled up to commercial-s... Read More about A new method for scale-up of solvent-based post-combustion carbon capture process with packed columns.

Study of mass transfer correlations for rotating packed bed columns in the context of solvent-based carbon capture (2019)
Journal Article
Oko, E., Wang, M., & Ramshaw, C. (2019). Study of mass transfer correlations for rotating packed bed columns in the context of solvent-based carbon capture. International journal of greenhouse gas control, 91, Article 102831. https://doi.org/10.1016/j.ijggc.2019.102831

© 2019 Elsevier Ltd The application of rotating packed beds (RPBs) in solvent-based carbon capture processes, will greatly reduce the physical footprint, capital and operating cost of the process. However, in designing RPBs, correlations for predicti... Read More about Study of mass transfer correlations for rotating packed bed columns in the context of solvent-based carbon capture.

Study of intercooling for rotating packed bed absorbers in intensified solvent-based CO2 capture process (2018)
Journal Article
Oko, E., Ramshaw, C., & Wang, M. (2018). Study of intercooling for rotating packed bed absorbers in intensified solvent-based CO2 capture process. Applied energy, 223, 302-316. https://doi.org/10.1016/j.apenergy.2018.04.057

Rotating packed beds (RPBs) are a compact and potentially more cost-effective alternative to packed beds for application in solvent-based carbon capture process. However, with concentrated monoethanolamine (MEA) (up to 70–80 wt%) as the solvent, ther... Read More about Study of intercooling for rotating packed bed absorbers in intensified solvent-based CO2 capture process.

Modelling of a post-combustion CO₂ capture process using neural networks (2015)
Journal Article
Li, F., Zhang, J., Oko, E., & Wang, M. (2015). Modelling of a post-combustion CO₂ capture process using neural networks. Fuel, 151, 156-163. https://doi.org/10.1016/j.fuel.2015.02.038

This paper presents a study of modelling post-combustion CO₂ capture process using bootstrap aggregated neural networks. The neural network models predict CO₂ capture rate and CO₂ capture level using the following variables as model inputs: inlet flu... Read More about Modelling of a post-combustion CO₂ capture process using neural networks.

Neural network approach for predicting drum pressure and level in coal-fired subcritical power plant (2015)
Journal Article
Oko, E., Wang, M., & Zhang, J. (2015). Neural network approach for predicting drum pressure and level in coal-fired subcritical power plant. Fuel, 151, 139-145. https://doi.org/10.1016/j.fuel.2015.01.091

There is increasing need for tighter controls of coal-fired plants due to more stringent regulations and addition of more renewable sources in the electricity grid. Achieving this will require better process knowledge which can be facilitated through... Read More about Neural network approach for predicting drum pressure and level in coal-fired subcritical power plant.

Simplification of detailed rate-based model of post-combustion CO₂ capture for full chain CCS integration studies (2014)
Journal Article
Oko, E., Wang, M., & Olaleye, A. K. (2015). Simplification of detailed rate-based model of post-combustion CO₂ capture for full chain CCS integration studies. Fuel, 142, 87-93. https://doi.org/10.1016/j.fuel.2014.10.083

As post-combustion CO₂ capture (PCC) technology nears commercialisation, it has become necessary for the full carbon capture and storage (CCS) chain to be studied for better understanding of its dynamic characteristics. Model-based approach is one op... Read More about Simplification of detailed rate-based model of post-combustion CO₂ capture for full chain CCS integration studies.