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Contact

Postal Address

City, University of London
Northampton Square
London
EC1V 0HB
United Kingdom

About

Overview

Dr Martin White obtained a MEng in Mechanical Engineering from the University of Southampton in 2011, and a PhD in Mechanical Engineering from City, University of London in October 2015. His PhD investigated the design and analysis of small-scale turbines for low-temperature organic Rankine cycles. After a year working as a Research Associate at Imperial College London within the Clean Energy Processes Laboratory, he returned to City and is currently working on the EPSRC funded project NextORC.

As a researcher his focus is on the development of small-scale energy systems suitable for the power generation from low and medium temperature heat sources, such as solar, biomass, geothermal and waste heat. This encompasses system design and optimisation, working-fluid selection and component, with significant focus on turbomachinery components.

Qualifications

  1. PhD in Mechanical Engineering, City, University of London, UK, Apr 2012 – Oct 2015
  2. MEng in Mechanical Engineering, University of Southampton, UK, Oct 2007 – Jul 2011

Employment

  1. Research Fellow, City, University of London, May 2018 – present
  2. Postdoctoral Research Associate, City, University of London, May 2017 – Apr 2018
  3. Postdoctoral Research Associate, Imperial College London, May 2016 – Apr 2017

Publications

  1. White, M.T., Markides, C.N. and Sayma, A.I. (2018). Working-Fluid Replacement in Supersonic Organic Rankine Cycle Turbines. Journal of Engineering for Gas Turbines and Power, 140(9), pp. 91703–91703. doi:10.1115/1.4038754.
  2. White, M.T. and Sayma, A.I. (2018). A generalised assessment of working fluids and radial turbines for non-recuperated subcritical organic rankine cycles. Energies, 11(4). doi:10.3390/en11040800.
  3. White, M.T., Oyewunmi, O.A., Haslam, A.J. and Markides, C.N. (2017). Industrial waste-heat recovery through integrated computer-aided working-fluid and ORC system optimisation using SAFT-Γ Mie. Energy Conversion and Management, 150, pp. 851–869. doi:10.1016/j.enconman.2017.03.048.
  4. White, M. and Sayma, A.I. (2016). Improving the economy-of-scale of small organic rankine cycle systems through appropriate working fluid selection. Applied Energy, 183, pp. 1227–1239. doi:10.1016/j.apenergy.2016.09.055.
  5. White, M. and Sayma, A.I. (2015). The Application of Similitude Theory for the Performance Prediction of Radial Turbines Within Small-Scale Low-Temperature Organic Rankine Cycles. Journal of Engineering for Gas Turbines and Power, 137(12). doi:10.1115/1.4030836.

Conference papers and proceedings (8)

  1. White, M., Read, M. and Sayma, A. (2018). Using a cubic equation of state to identify optimal working fluids for an ORC operating with two-phase expansion using a twin-screw expander. 17th International Refrigeration and Air Conditioning Conference 9-12 July, Purdue, USA.
  2. White, M., Read, M. and Sayma, A. (2018). Optimisation of cascaded organic Rankine cycle systems for high-temperature waste-heat recovery. ECOS 2018 - The 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems 17-22 June, Guimarães.
  3. White, M. and Sayma, A. (2018). Design of a closed-loop optical-access supersonic test facility for organic vapours. ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition 11-15 June, Oslo, Norway.
  4. White, M. and Sayma, A. (2018). A preliminary comparison of different turbine architectures for a 100 kW supercritical CO2 Rankine cycle turbine. The 6th International Supercritical CO2 Power Cycles Symposium 27-29 March, Pittsburgh, Pennsylvania.
  5. White, M.T. and Sayma, A.I. (2018). Design of a closed-loop optical-access supersonic test facility for organic vapours.
  6. Oyewunmi, O.A., White, M.T., Chatzopoulou, M.A., Haslam, A.J. and Markides, C.N. (2017). Integrated computer-aided working-fluid design and power system optimisation: Beyond thermodynamic modelling.
  7. Arroyo, A., McLorn, M., Fabian, M., White, M. and Sayma, A.I. (2016). Rotor-dynamics of different shaft configurations for a 6 KW micro gas turbine for concentrated solar power.
  8. White, M. and Sayma, A.I. (2016). Investigating the effect of changing the working fluid on the three-dimensional flow within organic rankine cycle turbines.

Journal articles (12)

  1. White, M.T., Oyewunmi, O.A., Chatzopoulou, M.A., Pantaleo, A.M., Haslam, A.J. and Markides, C.N. (2018). Computer-aided working-fluid design, thermodynamic optimisation and thermoeconomic assessment of ORC systems for waste-heat recovery. Energy, 161, pp. 1181–1198. doi:10.1016/j.energy.2018.07.098.
  2. White, M.T., Markides, C.N. and Sayma, A.I. (2018). Working-fluid replacement in supersonic organic rankine cycle turbines. Journal of Engineering for Gas Turbines and Power, 140(9). doi:10.1115/1.4038754.
  3. White, M.T. and Sayma, A.I. (2018). A generalised assessment of working fluids and radial turbines for non-recuperated subcritical organic rankine cycles. Energies, 11(4). doi:10.3390/en11040800.
  4. White, M.T., Oyewunmi, O.A., Haslam, A.J. and Markides, C.N. (2017). Industrial waste-heat recovery through integrated computer-aided working-fluid and ORC system optimisation using SAFT-Γ Mie. Energy Conversion and Management, 150, pp. 851–869. doi:10.1016/j.enconman.2017.03.048.
  5. White, M.T., Oyewunmi, O.A., Chatzopoulou, M.A., Pantaleo, A.M., Haslam, A.J. and Markides, C.N. (2017). Integrated computer-aided working-fluid design and thermoeconomic ORC system optimisation. Energy Procedia, 129, pp. 152–159. doi:10.1016/j.egypro.2017.09.095.
  6. Unamba, C.K., White, M., Sapin, P., Freeman, J., Lecompte, S., Oyewunmi, O.A. … Markides, C.N. (2017). Experimental Investigation of the Operating Point of a 1-kW ORC System. Energy Procedia, 129, pp. 875–882. doi:10.1016/j.egypro.2017.09.211.
  7. White, M., Sayma, A.I. and Markides, C.N. (2017). Supersonic flow of non-ideal fluids in nozzles: An application of similitude theory and lessons for ORC turbine design and flexible use considering system performance. Journal of Physics: Conference Series, 821(1). doi:10.1088/1742-6596/821/1/012002.
  8. White, M. and Sayma, A.I. (2016). Improving the economy-of-scale of small organic rankine cycle systems through appropriate working fluid selection. Applied Energy, 183, pp. 1227–1239. doi:10.1016/j.apenergy.2016.09.055.
  9. White, M. and Sayma, A.I. (2015). The Application of Similitude Theory for the Performance Prediction of Radial Turbines Within Small-Scale Low-Temperature Organic Rankine Cycles. Journal of Engineering for Gas Turbines and Power, 137(12). doi:10.1115/1.4030836.
  10. White, M. and Sayma, A.I. (2015). The one-dimensional meanline design of radial turbines for small scale low temperature organic rankine cycles. Proceedings of the ASME Turbo Expo, 2C. doi:10.1115/GT2015-42466.
  11. White, M. and Sayma, A.I. (2015). The impact of component performance on the overall cycle performance of small-scale low temperature organic Rankine cycles. IOP Conference Series: Materials Science and Engineering, 90(1). doi:10.1088/1757-899X/90/1/012063.
  12. White, M. and Sayma, A.I. (2015). System and component modelling and optimisation for an efficient 10 kWe low-temperature organic Rankine cycle utilising a radial inflow expander. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 229(7), pp. 795–809. doi:10.1177/0957650915574211.