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Jian Song
Jian Song
Assistant Professor, School of Chemical Engineering, University of Birmingham
Verified email at bham.ac.uk - Homepage
Title
Cited by
Cited by
Year
Thermodynamic analysis and performance optimization of an Organic Rankine Cycle (ORC) waste heat recovery system for marine diesel engines
J Song, Y Song, C Gu
Energy 82, 976-985, 2015
2952015
Parametric analysis of a dual loop Organic Rankine Cycle (ORC) system for engine waste heat recovery
J Song, C Gu
Energy Conversion and Management 105, 995-1005, 2015
1552015
Performance analysis of a dual-loop organic Rankine cycle (ORC) system with wet steam expansion for engine waste heat recovery
J Song, C Gu
Applied Energy 156, 280-289, 2015
1522015
Performance analysis and parametric optimization of supercritical carbon dioxide (S-CO2) cycle with bottoming Organic Rankine Cycle (ORC)
J Song, X Li, X Ren, C Gu
Energy 143, 406-416, 2018
1462018
Parametric optimisation of a combined supercritical CO2 (S-CO2) cycle and organic Rankine cycle (ORC) system for internal combustion engine (ICE) waste-heat recovery
J Song, X Li, K Wang, CN Markides
Energy Conversion and Management 218, 112999, 2020
1432020
Performance improvement of a preheating supercritical CO2 (S-CO2) cycle based system for engine waste heat recovery
J Song, X Li, X Ren, C Gu
Energy Conversion and Management 161, 225-233, 2018
1292018
Combined supercritical CO2 (SCO2) cycle and organic Rankine cycle (ORC) system for hybrid solar and geothermal power generation: Thermoeconomic assessment of various configurations
J Song, Y Wang, K Wang, J Wang, CN Markides
Renewable Energy 174, 1020-1035, 2021
1142021
Analysis of ORC (Organic Rankine Cycle) systems with pure hydrocarbons and mixtures of hydrocarbon and retardant for engine waste heat recovery
J Song, C Gu
Applied Thermal Engineering 89, 693-702, 2015
1132015
Parametric design and off-design analysis of organic Rankine cycle (ORC) system
J Song, C Gu, X Ren
Energy Conversion and Management 112, 157-165, 2016
1082016
Influence of the radial-inflow turbine efficiency prediction on the design and analysis of the Organic Rankine Cycle (ORC) system
J Song, C Gu, X Ren
Energy Conversion and Management 123, 308-316, 2016
982016
Thermodynamic analysis and performance optimization of an ORC (Organic Rankine Cycle) system for multi-strand waste heat sources in petroleum refining industry
J Song, Y Li, C Gu, L Zhang
Energy 71, 673-680, 2014
942014
Performance estimation of Tesla turbine applied in small scale Organic Rankine Cycle (ORC) system
J Song, C Gu, X Li
Applied Thermal Engineering 110, 318-326, 2017
812017
Thermo-economic assessments of pumped-thermal electricity storage systems employing sensible heat storage materials
Y Zhao, J Song, M Liu, Y Zhao, AV Olympios, P Sapin, J Yan, ...
Renewable Energy 186, 431-456, 2022
772022
Organic Rankine cycle systems for engine waste-heat recovery: Heat exchanger design in space-constrained applications
X Li, J Song, G Yu, Y Liang, H Tian, G Shu, CN Markides
Energy Conversion and Management 199, 111968, 2019
662019
Aerodynamic design and numerical analysis of a radial inflow turbine for the supercritical carbon dioxide Brayton cycle
A Zhou, J Song, X Li, X Ren, C Gu
Applied Thermal Engineering 132, 245-255, 2018
652018
Thermo-economic optimization of organic Rankine cycle (ORC) systems for geothermal power generation: A comparative study of system configurations
J Song, P Loo, J Teo, CN Markides
Frontiers in Energy Research 8, 6, 2020
602020
Advanced exergy analysis of a Joule-Brayton pumped thermal electricity storage system with liquid-phase storage
Y Zhao, M Liu, J Song, C Wang, J Yan, CN Markides
Energy Conversion and Management 231, 113867, 2021
542021
One-dimensional model analysis and performance assessment of Tesla turbine
J Song, X Ren, X Li, C Gu, M Zhang
Applied Thermal Engineering 134, 546-554, 2018
472018
Thermodynamic and economic investigations of transcritical CO2-cycle systems with integrated radial-inflow turbine performance predictions
J Song, X Li, X Ren, H Tian, G Shu, C Gu, CN Markides
Applied Thermal Engineering 165, 114604, 2020
462020
Thermal characteristics of in-tube upward supercritical CO2 flows and a new heat transfer prediction model based on artificial neural networks (ANN)
F Sun, G Xie, J Song, S Li, CN Markides
Applied Thermal Engineering 194, 117067, 2021
422021
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