| Review of supercritical CO2 technologies and systems for power generation MT White, G Bianchi, L Chai, SA Tassou, AI Sayma Applied Thermal Engineering 185, 116447, 2021 | 453 | 2021 |
| Computer-aided working-fluid design, thermodynamic optimisation and thermoeconomic assessment of ORC systems for waste-heat recovery MT White, OA Oyewunmi, MA Chatzopoulou, AM Pantaleo, AJ Haslam, ... Energy 161, 1181-1198, 2018 | 107 | 2018 |
| Industrial waste-heat recovery through integrated computer-aided working-fluid and ORC system optimisation using SAFT-γ Mie MT White, OA Oyewunmi, AJ Haslam, CN Markides Energy Conversion and Management 150, 851-869, 2017 | 103 | 2017 |
| Cycle and turbine optimisation for an ORC operating with two-phase expansion MT White Applied Thermal Engineering 192, 116852, 2021 | 48 | 2021 |
| A new method to identify the optimal temperature of latent-heat thermal-energy storage systems for power generation from waste heat MT White, AI Sayma International Journal of Heat and Mass Transfer 149, 119111, 2020 | 38 | 2020 |
| A generalised assessment of working fluids and radial turbines for non-recuperated subcritical organic rankine cycles MT White, AI Sayma Energies 11 (4), 800, 2018 | 35 | 2018 |
| The application of similitude theory for the performance prediction of radial turbines within small-scale low-temperature organic Rankine cycles M White, AI Sayma Journal of Engineering for Gas Turbines and Power 137 (12), 122605, 2015 | 35 | 2015 |
| Simultaneous cycle optimization and fluid selection for ORC systems accounting for the effect of the operating conditions on turbine efficiency MT White, AI Sayma Frontiers in Energy Research 7, 50, 2019 | 34 | 2019 |
| Mean-Line Design of a Supercritical CO2 Micro Axial Turbine SI Salah, MA Khader, MT White, AI Sayma Applied Sciences 10 (15), 5069, 2020 | 31 | 2020 |
| A comparison of axial turbine loss models for air, sCO2 and ORC turbines across a range of scales SI Salah, MT White, AI Sayma International Journal of Thermofluids 15, 100156, 2022 | 30 | 2022 |
| Improving the economy-of-scale of small organic rankine cycle systems through appropriate working fluid selection M White, AI Sayma Applied Energy 183, 1227-1239, 2016 | 28 | 2016 |
| Sensitivity of transcritical cycle and turbine design to dopant fraction in CO2-based working fluids OA Aqel, MT White, MA Khader, AI Sayma Applied Thermal Engineering 190, 116796, 2021 | 26 | 2021 |
| Experimental investigation of the operating point of a 1-kW ORC system CK Unamba, M White, P Sapin, J Freeman, S Lecompte, OA Oyewunmi, ... Energy Procedia 129, 875-882, 2017 | 23 | 2017 |
| Rotor-dynamics of different shaft configurations for a 6 kW micro gas turbine for concentrated solar power A Arroyo, M McLorn, M Fabian, M White, AI Sayma Turbo Expo: Power for Land, Sea, and Air 49866, V008T23A009, 2016 | 23 | 2016 |
| Investigating the wet-to-dry expansion of organic fluids for power generation MT White International Journal of Heat and Mass Transfer 192, 122921, 2022 | 22 | 2022 |
| Making the case for cascaded organic Rankine cycles for waste-heat recovery MT White, MG Read, AI Sayma Energy 211, 118912, 2020 | 21 | 2020 |
| The design and analysis of radial inflow turbines implemented within low temperature organic Rankine cycles M White City University London, 2015 | 20 | 2015 |
| Integrated computer-aided working-fluid design and thermoeconomic ORC system optimisation MT White, OA Oyewunmi, MA Chatzopoulou, AM Pantaleo, AJ Haslam, ... Energy Procedia 129, 152-159, 2017 | 17 | 2017 |
| Investigating the effect of changing the working fluid on the three-dimensional flow within organic Rankine cycle turbines M White, AI Sayma Turbo Expo: Power for Land, Sea, and Air 49743, V003T25A002, 2016 | 17 | 2016 |
| System and component modelling and optimisation for an efficient 10 kWe low-temperature organic Rankine cycle utilising a radial inflow expander M White, AI Sayma Proceedings of the Institution of Mechanical Engineers, Part A: Journal of …, 2015 | 17 | 2015 |
Christos N. MarkidesProfessor and Head of the Clean Energy Processes (CEP) Laboratory, Imperial College LondonEmail yang diverifikasi di imperial.ac.uk
