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Eni Oko
Eni Oko
Senior Lecturer (Associate Professor) in Chemical Engineering
Dirección de correo verificada de newcastle.ac.uk - Página principal
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Año
Dynamic modelling, validation and analysis of coal-fired subcritical power plant
E Oko, M Wang
Fuel 135, 292-300, 2014
682014
Simulation-based techno-economic evaluation for optimal design of CO2 transport pipeline network
X Luo, M Wang, E Oko, C Okezue
Applied Energy 132, 610-620, 2014
672014
Process analysis of intensified absorber for post-combustion CO2 capture through modelling and simulation
AS Joel, M Wang, C Ramshaw, E Oko
International Journal of Greenhouse Gas Control 21, 91-100, 2014
642014
Current status and future development of solvent-based carbon capture
E Oko, M Wang, AS Joel
International Journal of Coal Science & Technology 4 (1), 5-14, 2017
612017
Modelling of a post-combustion CO2 capture process using neural networks
F Li, J Zhang, E Oko, M Wang
Fuel 151, 156-163, 2015
572015
Thermodynamic performance evaluation of supercritical CO2 closed Brayton cycles for coal-fired power generation with solvent-based CO2 capture
O Olumayegun, M Wang, E Oko
Energy 166, 1074-1088, 2019
432019
Neural network approach for predicting drum pressure and level in coal-fired subcritical power plant
E Oko, M Wang, J Zhang
Fuel 151, 139-145, 2015
432015
Study of CO2 removal in natural gas process using mixture of ionic liquid and MEA through process simulation
TE Akinola, E Oko, M Wang
Fuel 236, 135-146, 2019
422019
Modelling of a post-combustion CO2 capture process using deep belief network
F Li, J Zhang, C Shang, D Huang, E Oko, M Wang
Applied Thermal Engineering 130, 997-1003, 2018
372018
Model-free adaptive control for MEA-based post-combustion carbon capture processes
Z Li, Z Ding, M Wang, E Oko
Fuel 224, 637-643, 2018
322018
Modelling, simulation and analysis of intensified regenerator for solvent based carbon capture using rotating packed bed technology
AS Joel, M Wang, C Ramshaw, E Oko
Applied Energy 203, 11-25, 2017
302017
Process modelling and analysis of intensified CO2 capture using monoethanolamine (MEA) in rotating packed bed absorber
TN Borhani, E Oko, M Wang
Journal of Cleaner Production 204, 1124-1142, 2018
292018
Non-linear system identification of solvent-based post-combustion CO2 capture process
TE Akinola, E Oko, Y Gu, HL Wei, M Wang
Fuel 239, 1213-1223, 2019
232019
Process simulation and analysis of carbon capture with an aqueous mixture of ionic liquid and monoethanolamine solvent
B Zacchello, E Oko, M Wang, A Fethi
International Journal of Coal Science & Technology, 1-8, 2016
182016
Case study on CO2 transport pipeline network design for Humber region in the UK
T Lazic, E Oko, M Wang
Proceedings of the institution of mechanical engineers, part e: journal of …, 2014
182014
Process modelling, validation and analysis of rotating packed bed stripper in the context of intensified CO2 capture with MEA
TN Borhani, E Oko, M Wang
Journal of Industrial and Engineering Chemistry 75, 285-295, 2019
162019
Study of intercooling for rotating packed bed absorbers in intensified solvent-based CO2 capture process
E Oko, C Ramshaw, M Wang
Applied Energy 223, 302-316, 2018
142018
Process analysis and economic evaluation of mixed aqueous ionic liquid and monoethanolamine (MEA) solvent for CO2 capture from a coke oven plant
E Oko, B Zacchello, M Wang, A Fethi
Greenhouse Gases: Science and Technology 8 (4), 686-700, 2018
142018
Modelling of a post-combustion CO2 capture process using extreme learning machine
F Li, J Zhang, E Oko, M Wang
International Journal of Coal Science & Technology 4 (1), 33–40, 0
14*
Flexible operation of large-scale coal-fired power plant integrated with solvent-based post-combustion CO2 capture based on neural network inverse control
P Liao, Y Li, X Wu, M Wang, E Oko
International Journal of Greenhouse Gas Control 95, 102985, 2020
122020
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Artículos 1–20