Professor Ian Masters

Professor

Mechanical Engineering

+44 (0) 1792 295688

i.masters@swansea.ac.uk

Office - 110
First Floor
Energy Safety Research Institute
Bay Campus

Available For Postgraduate Supervision

Research Links

https://orcid.org/0000-0001-7667-6670

About

Research includes: The interaction of tidal turbine rotor blades with combined tide, wave and turbulent flows; marine vessel survey of high energy wave and tidal sites; CFD modelling of wave machines, tidal turbines, arrays, wakes, scour and deposition; environmental impact analysis of wave and tidal energy sites.

The Swansea research was the starting point for the Low Carbon Research Institute Marine Consortium (LCRI Marine), formed in 2006 to undertake world class research into the generation of renewable electrical energy from waves, tides and currents in oceans, estuaries and rivers. It includes all the Welsh Universities. To ensure the industrial relevance of the research, in 2008 the Marine Energy Task Group for Wales was formed. With over 50 member organisations from industry, government, and environmental groups, it supports efforts to generate marine energy around the coast of Wales.

Member of the BSI Technical Committee for marine energy standards.

Previously Financial Director of Swanturbines Ltd., a marine renewable energy company and a leading developer of tidal stream turbines (www.swanturbines.co.uk). This “underwater wind turbine” is a fully submerged and completely predictable form of energy.

Areas Of Expertise

Marine energy
Ocean energy
Wave
Tidal turbine

Publications

Research Highlights

GEORGE, D., Collins, I., Masters, I., & Hossain, M. (2024). Extreme load analysis of flexible wave energy converters utilising nonlocal continuum damage mechanics. Applied Ocean Research, 142, 103843
https://doi.org/10.1016/j.apor.2023.103843, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65661
Fairley, I., King, N., McIlvenny, J., Lewis, M., Neill, S., Williamson, B., Masters, I., & Reeve, D. (2024). Intercomparison of surface velocimetry techniques for drone-based marine current characterization. Estuarine, Coastal and Shelf Science, 299
https://doi.org/10.1016/j.ecss.2024.108682, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65660
Collins, I., Contino, M., Marano, C., Masters, I., & Hossain, M. (2023). On the influence of time-dependent behaviour of elastomeric wave energy harvesting membranes using experimental and numerical modelling techniques. European Journal of Mechanics - A/Solids, 98, 104895
https://doi.org/10.1016/j.euromechsol.2022.104895, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62157
Esmaeili, A., Hossain, M., & Masters, I. (2023). Comparison of two compounding techniques for carbon nanotubes filled natural rubbers through microscopic and dynamic mechanical characterizations. Materials Letters, 335, 133786
https://doi.org/10.1016/j.matlet.2022.133786, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62219
Neill, S., Fairley, I., Rowlands, S., Young, S., Hill, T., Unsworth, C., King, N., Roberts, M., Austin, M., Hughes, P., Masters, I., Owen, A., Powell, B., Reeve, D., & Lewis, M. (2023). Characterizing the Marine Energy Test Area (META) in Wales, UK. Renewable Energy, 205, 447-460.
https://doi.org/10.1016/j.renene.2023.01.105, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62482
Esmaeili, A., George, D., Masters, I., & Hossain, M. (2023). Biaxial experimental characterizations of soft polymers: A review. Polymer Testing, 128, 108246
https://doi.org/10.1016/j.polymertesting.2023.108246, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64817
Badoe, C., Li, X., Williams, A., & Masters, I. (2024). Output of a tidal farm in yawed flow and varying turbulence using GAD-CFD. Ocean Engineering, 294, 116736
https://doi.org/10.1016/j.oceaneng.2024.116736, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65560
Togneri, M., Pinon, G., Carlier, C., Bex, C., & Masters, I. (2020). Comparison of synthetic turbulence approaches for blade element momentum theory prediction of tidal turbine performance and loads. Renewable Energy, 145, 408-418.
https://doi.org/10.1016/j.renene.2019.05.110, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50672
http://dx.doi.org/10.1016/j.renene.2019.05.110
Lewis, M., McNaughton, J., Márquez-Dominguez, C., Todeschini, G., Togneri, M., Masters, I., Allmark, M., Stallard, T., Neill, S., Goward-Brown, A., & Robins, P. (2019). Power variability of tidal-stream energy and implications for electricity supply. Energy, 138, 1061-1074.
https://doi.org/10.1016/j.energy.2019.06.181, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51005
https://www.sciencedirect.com/science/article/pii/S0360544219313192
Faraggiana, E., Whitlam, C., Chapman, J., Hillis, A., Roesner, J., Hann, M., Greaves, D., Yu, Y., Ruehl, K., Masters, I., Foster, G., & Stockman, G. (2020). Computational modelling and experimental tank testing of the multi float WaveSub under regular wave forcing. Renewable Energy, 152, 892-909.
https://doi.org/10.1016/j.renene.2019.12.146, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53109
Edmunds, M., Williams, A., Masters, I., Banerjee, A., & VanZwieten, J. (2020). A spatially nonlinear generalised actuator disk model for the simulation of horizontal axis wind and tidal turbines. Energy, 194, 116803
https://doi.org/10.1016/j.energy.2019.116803, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53115
Fairley, I., Lewis, M., Robertson, B., Hemer, M., Masters, I., Horrillo-Caraballo, J., Karunarathna, H., & Reeve, D. (2020). A classification system for global wave energy resources based on multivariate clustering. Applied Energy, 262
https://doi.org/10.1016/j.apenergy.2020.114515, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53336
Hughes, J., Williams, A., & Masters, I. (2020). A blind test on floats in extreme waves using a transient potential flow model. Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics, 173(3), 132-143.
https://doi.org/10.1680/jencm.19.00037, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53948
Faraggiana, E., Chapman, J., Williams, A., Masters, I., Faraggiana, E., Williams, A., & Masters, I. (2020). Genetic based optimisation of the design parameters for an array-on-device orbital motion wave energy converter. Ocean Engineering, 218, 108251
https://doi.org/10.1016/j.oceaneng.2020.108251, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55550
Fairley, I., Horrillo-Caraballo, J., Masters, I., Karunarathna, H., & Reeve, D. (2020). Spatial Variation in Coastal Dune Evolution in a High Tidal Range Environment. Remote Sensing, 12(22), 3689
https://doi.org/10.3390/rs12223689, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55734
Lake, T., Hughes, J., Togneri, M., Williams, A., Jeffcoate, P., Starzmann, R., Kaufmann, N., & Masters, I. (2021). Strain gauge measurements on a full scale tidal turbine blade. Renewable Energy, 170, 985-996.
https://doi.org/10.1016/j.renene.2021.01.137, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56216
Horrillo-Caraballo, J., Yin, Y., Fairley, I., Karunarathna, H., Masters, I., & Reeve, D. (2021). A comprehensive study of the tides around the Welsh coastal waters. Estuarine, Coastal and Shelf Science, 254, 107326
https://doi.org/10.1016/j.ecss.2021.107326, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56553
Ransley, E., Brown, S., Hann, M., Greaves, D., Windt, C., Ringwood, J., Davidson, J., Schmitt, P., Yan, S., Wang, J., Wang, J., Ma, Q., Xie, Z., Giorgi, G., Hughes, J., Williams, A., Masters, I., Lin, Z., Chen, H...., & Bingham, H. (2021). Focused wave interactions with floating structures: a blind comparative study. Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics, 174(1), 46-61.
https://doi.org/10.1680/jencm.20.00006, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56685
Collins, I., Hossain, M., Dettmer, W., & Masters, I. (2021). Flexible membrane structures for wave energy harvesting: A review of the developments, materials and computational modelling approaches. Renewable and Sustainable Energy Reviews, 151, 111478
https://doi.org/10.1016/j.rser.2021.111478, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57275
Togneri, M., Masters, I., & Fairley, I. (2021). Wave-turbulence separation at a tidal energy site with empirical orthogonal function analysis. Ocean Engineering, 237, 109523
https://doi.org/10.1016/j.oceaneng.2021.109523, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57524
Todeschini, G., Coles, D., Lewis, M., Popov, I., Angeloudis, A., Fairley, I., Johnson, F., Williams, A., Robins, P., & Masters, I. (2022). Medium-term variability of the UK's combined tidal energy resource for a net-zero carbon grid. Energy, 238, 121990
https://doi.org/10.1016/j.energy.2021.121990, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58055
Masters, I., Bird, J., Birch, B., Reader, M., Turner, W., Holland, T., Lake, T., & Williams, A. (2022). Remote river energy system: an open-source low-maintenance turbine design for remote areas. Proceedings of the Institution of Civil Engineers - Energy, 175(2), 64-80.
https://doi.org/10.1680/jener.21.00101, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58143
Badoe, C., Edmunds, M., Williams, A., Nambiar, A., Sellar, B., Kiprakis, A., & Masters, I. (2022). Robust validation of a generalised actuator disk CFD model for tidal turbine analysis using the FloWave ocean energy research facility. Renewable Energy, 190, 232-250.
https://doi.org/10.1016/j.renene.2022.03.109, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59726
Faraggiana, E., Chapman, J., Williams, A., Whitlam, C., & Masters, I. (2022). Investigation of new layout design concepts of an array-on-device WaveSub device. Renewable Energy, 190, 501-523.
https://doi.org/10.1016/j.renene.2022.03.126, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59821
Fairley, I., Williamson, B., McIlvenny, J., King, N., Masters, I., Lewis, M., Neill, S., Glasby, D., Coles, D., Powell, B., Naylor, K., Robinson, M., Reeve, D., Naylor, K., & Reeve, D. (2022). Drone-based large-scale particle image velocimetry applied to tidal stream energy resource assessment. Renewable Energy, 196, 839-855.
https://doi.org/10.1016/j.renene.2022.07.030, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60456
McIlvenny, J., Williamson, B., Fairley, I., Lewis, M., Neill, S., Masters, I., & Reeve, D. (2022). Comparison of dense optical flow and PIV techniques for mapping surface current flow in tidal stream energy sites. International Journal of Energy and Environmental Engineering, 14
https://doi.org/10.1007/s40095-022-00519-z, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61250
Faraggiana, E., Chapman, J., & Masters, I. (2022). Influence of directional wave spreading on a WEC device. International Marine Energy Journal, 5(2), 227-242.
https://doi.org/10.36688/imej.5.227-242, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61812
Esmaeili, A., Masters, I., & Hossain, M. (2023). A novel carbon nanotubes doped natural rubber nanocomposite with balanced dynamic shear properties and energy dissipation for wave energy applications. Results in Materials, 17, 100358
https://doi.org/10.1016/j.rinma.2022.100358, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62176
McLoughlin, T., Jones, M., Laramee, R., Malki, R., Masters, I., Hansen, C., Jones, M., Masters, I., & Laramee, B. (2012). Similarity Measures for Enhancing Interactive Streamline Seeding. IEEE Transactions on Visualization and Computer Graphics, 19(8), 1342-1353.
https://doi.org/10.1109/TVCG.2012.150, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15062
http://cs.swan.ac.uk/%7Ecsmark/PDFS/similaritymeasures.pdf
Willis, M., Croft, N., Lin, B., Williams, A., Mason-Jones, A., Fidler, R., Loman, J., Wooldridge, C., Thomas, S., Cook, A., Gallie, R., O’Doherty, T., O’Doherty, D., Gao, G., Ahmadian, R., Muhasilovic, M., Masters, I., Horsfall, I., Cross, M...., & Evans, P. (2010). Tidal turbine deployment in the Bristol Channel: a case study. Proceedings of the ICE - Energy, 163(3)-105.
https://doi.org/10.1680/ener.2010.163.3.93, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15621
Fairley, I., Masters, I., & Karunarathna, H. (2015). The cumulative impact of tidal stream turbine arrays on sediment transport in the Pentland Firth. Renewable Energy, 80, 755-769.
https://doi.org/10.1016/j.renene.2015.03.004, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20563
http://www.journals.elsevier.com/renewable-energy/
Zhenmin, P., Zhao, G., Michael, N., Robert, S., Nick, C., Rami, M., Ian, M., Chuck, H., Masters, I., Croft, N., & Laramee, B. (2013). Visualization of flow past a marine turbine: the information-assisted search for sustainable energy. Computing and Visualization in Science, 16(3), 89-103.
https://doi.org/10.1007/s00791-014-0229-4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa24667
M., E., R.S., L., R., M., I., M., T.N., C., G., C., E., Z., Masters, I., Croft, N., & Laramee, B. (2012). Automatic Stream Surface Seeding: A Feature Centered Approach. Computer Graphics Forum, 31(3pt2), 1095-1104.
https://doi.org/10.1111/j.1467-8659.2012.03102.x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa24671
Edmunds, M., Masters, I., Evans, B., & Laramee, B. (2016). Enhanced Flow Visualisation of Complex Aerodynamic Phenomena Using Automatic Stream Surface Seeding with Application to the BLOODHOUND SSC Land Speed Record Vehicle. The Aeronautical Journal, 120(1226), 547-571.
https://doi.org/10.1017/aer.2016.10, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa25027
http://cs.swan.ac.uk/~csbob/research/seeding/surface/bloodhound/edmunds15enhanced.pdf
Fairley, I., Masters, I., & Karunarathna, H. (2016). Numerical modelling of storm and surge events on offshore sandbanks. Marine Geology, 371, 106-119.
https://doi.org/10.1016/j.margeo.2015.11.007, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa25976
Edmunds, M., Williams, A., Masters, I., & Croft, N. (2017). An enhanced disk averaged CFD model for the simulation of horizontal axis tidal turbines. Renewable Energy, 101, 67-81.
https://doi.org/10.1016/j.renene.2016.08.007, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa29491
Togneri, M., Lewis, M., Neill, S., & Masters, I. (2017). Comparison of ADCP observations and 3D model simulations of turbulence at a tidal energy site. Renewable Energy, 114, 273-282.
https://doi.org/10.1016/j.renene.2017.03.061, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32173
Elasha, F., Mba, D., Togneri, M., Masters, I., & Teixeira, J. (2017). A hybrid prognostic methodology for tidal turbine gearboxes. Renewable Energy, 114(Part B), 1051-1061.
https://doi.org/10.1016/j.renene.2017.07.093, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa34753
Fairley, I., Karunarathna, H., & Masters, I. (2018). The influence of waves on morphodynamic impacts of energy extraction at a tidal stream turbine site in the Pentland Firth. Renewable Energy, 125, 630-647.
https://doi.org/10.1016/j.renene.2018.02.035, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa38415
Togneri, M. & Masters, I. (2016). Micrositing variability and mean flow scaling for marine turbulence in Ramsey Sound. Journal of Ocean Engineering and Marine Energy, 2(1), 35-46.
https://doi.org/10.1007/s40722-015-0036-0, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23511
Dalton, G., Bardócz, T., Blanch, M., Campbell, D., Johnson, K., Lawrence, G., Lilas, T., Friis-Madsen, E., Neumann, F., Nikitas, N., Ortega, S., Pletsas, D., Simal, P., Sørensen, H., Stefanakou, A., & Masters, I. (2019). Feasibility of investment in Blue Growth multiple-use of space and multi-use platform projects; results of a novel assessment approach and case studies. Renewable and Sustainable Energy Reviews, 107, 338-359.
https://doi.org/10.1016/j.rser.2019.01.060, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49196
Fairley, I., Smith, H., Robertson, B., Abusara, M., & Masters, I. (2017). Spatio-temporal variation in wave power and implications for electricity supply. Renewable Energy, 114(Part A), 154-165.
https://doi.org/10.1016/j.renene.2017.03.075, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32791
Zangiabadi, E., Masters, I., Williams, A., Croft, N., Malki, R., Edmunds, M., Mason-Jones, A., & Horsfall, I. (2017). Computational prediction of pressure change in the vicinity of tidal stream turbines and the consequences for fish survival rate. Renewable Energy, 101, 1141-1156.
https://doi.org/10.1016/j.renene.2016.09.063, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30212
Fairley, I., Ahmadian, R., Falconer, R., Willis, M., Masters, I., & Masters, I. (2014). The effects of a Severn Barrage on wave conditions in the Bristol Channel. Renewable Energy, 68, 428-442.
https://doi.org/10.1016/j.renene.2014.02.023, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20864
Neill, S., Angeloudis, A., Robins, P., Walkington, I., Ward, S., Masters, I., Lewis, M., Piano, M., Avdis, A., Piggott, M., Aggidis, G., Evans, P., Adcock, T., Židonis, A., Ahmadian, R., & Falconer, R. (2018). Tidal range energy resource and optimization – Past perspectives and future challenges. Renewable Energy, 127, 763-778.
https://doi.org/10.1016/j.renene.2018.05.007, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39886
Togneri, M., Jones, D., Neill, S., Lewis, M., Ward, S., Piano, M., & Masters, I. (2017). Comparison of 4- and 5-beam acoustic Doppler current profiler configurations for measurement of turbulent kinetic energy. Energy Procedia, 125, 260-267.
https://doi.org/10.1016/j.egypro.2017.08.170, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa35287
Smith, H., Fairley, I., Robertson, B., Abusara, M., & Masters, I. (2017). Wave resource variability: Impacts on wave power supply over regional to international scales. Energy Procedia, 125, 240-249.
https://doi.org/10.1016/j.egypro.2017.08.202, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa35286
Togneri, M., Masters, I., Williams, A., Croft, T., Togneri, M., Edmunds, M., Zangiabadi, E., Fairley, I., Karunarathna, H., & Croft, N. (2015). A Comparison of Numerical Modelling Techniques for Tidal Stream Turbine Analysis. Energies, 8(8), 7833-7853.
https://doi.org/10.3390/en8087833, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23189
www.mdpi.com/journal/energies
Edmunds, M., Malki, R., Williams, A., Masters, I., Croft, T., Masters, I., Croft, N., & Williams, A. (2014). Aspects of tidal stream turbine modelling in the natural environment using a coupled BEM–CFD model. International Journal of Marine Energy, 7, 20-42.
https://doi.org/10.1016/j.ijome.2014.07.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20863
Zangiabadi, E., Edmunds, M., Fairley, I., Togneri, M., Williams, A., Masters, I., & Croft, N. (2015). Computational Fluid Dynamics and Visualisation of Coastal Flows in Tidal Channels Supporting Ocean Energy Development. Energies, 8(6), 5997-6012.
https://doi.org/10.3390/en8065997, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa22297
www.mdpi.com/journal/energies
Malki, R., Masters, I., Williams, A., Nick Croft, T., & Croft, N. (2014). Planning tidal stream turbine array layouts using a coupled blade element momentum – computational fluid dynamics model. Renewable Energy, 63, 46-54.
https://doi.org/10.1016/j.renene.2013.08.039, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20865
Voke, M., Fairley, I., Willis, M., & Masters, I. (2013). Economic evaluation of the recreational value of the coastal environment in a marine renewables deployment area. Ocean & Coastal Management, 78, 77-87.
https://doi.org/10.1016/j.ocecoaman.2013.03.013, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14519
Togneri, M., Malki, R., Williams, A., Croft, T., Togneri, M., Masters, I., Masters, I., Croft, N., & Williams, A. (2013). A coupled blade element momentum – Computational fluid dynamics model for evaluating tidal stream turbine performance. Applied Mathematical Modelling, 37(5), 3006-3020.
https://doi.org/10.1016/j.apm.2012.07.025, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12563
McLoughlin, T., Edmunds, M., Tong, C., S, R., Masters, I., Chen, G., Max, N., Yeh, H., & Laramee, B. (2015). Visualization of Input Parameters for Stream and Pathline Seeding. International Journal of Advanced Computer Science and Applications, 6(4)
https://doi.org/10.14569/IJACSA.2015.060417, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23190
Masters, I., Malki, R., Williams, A., Croft, T., & Croft, N. (2013). The influence of flow acceleration on tidal stream turbine wake dynamics: A numerical study using a coupled BEM–CFD model. Applied Mathematical Modelling
https://doi.org/10.1016/j.apm.2013.06.004, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15141
Potter, G., Tunstall, T., Chapman, J., & Masters, I. (2014). Growing The Marine Energy Supply Chain In Wales. Educational Alternatives, 12(1314-7277)
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23192
http://www.scientific-publications.net/en/article/1000508/
Togneri, M., Chapman, J., Masters, I., Togneri, M., Orme, J., & Masters, I. (2013). The Buhl correction factor applied to high induction conditions for tidal stream turbines. Renewable Energy, 60, 472-480.
https://doi.org/10.1016/j.renene.2013.05.018, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15125
Buckland, H., Masters, I., Orme, J., Baker, T., & Masters, I. (2013). Cavitation inception and simulation in blade element momentum theory for modelling tidal stream turbines. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy
https://doi.org/10.1177/0957650913477093, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14991
Willis, M., Broudic, M., Haywood, C., Masters, I., & Thomas, S. (2013). Measuring underwater background noise in high tidal flow environments. Renewable Energy, 49, 255-258.
https://doi.org/10.1016/j.renene.2012.01.020, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9116
Fairley, I., Evans, P., Wooldridge, C., Willis, M., & Masters, I. (2013). Evaluation of tidal stream resource in a potential array area via direct measurements. Renewable Energy, 57, 70-78.
https://doi.org/10.1016/j.renene.2013.01.024, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14365
Lewis, R., Masters, I., Rees, I., & Masters, I. (2006). Coupled and Uncoupled Contaminant Transport using Advanced Finite Volume Methods. , 292-310.
https://doi.org/10.1007/s00466-005-0671-8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1966
Rees, I., Masters, I., Malan, A., Lewis, R., & Masters, I. (2004). An Edge-Based Finite Volume Scheme For Saturated-Unsaturated Groundwater Flow,. , 4741-4759.
https://doi.org/10.1016/j.cma.2004.04.003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1965
Rees, I., Masters, I., Malan, A., Lewis, R., & Masters, I. (2004). An edge-based finite volume scheme for saturated–unsaturated groundwater flow. Computer Methods in Applied Mechanics and Engineering, 193(42-44)-4759.
https://doi.org/10.1016/j.cma.2004.04.003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15912
Khoei, A., Masters, I., Gethin, D., & Masters, I. (2002). Design optimisation of aluminium recycling processes using Taguchi technique. , 96-106.
https://doi.org/10.1016/S0924-0136(02)00273-X, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1947
Pao, W., Lewis, R., Masters, I., & Masters, I. (2001). A fully coupled hydro-thermo-poro-mechanical model for black oil reservoir simulation. , 1229-1256.
https://doi.org/10.1002/nag.174, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1967
Li, X., Li, M., Wolf, J., Williams, A., Badoe, C., & Masters, I. (2024). Local and regional interactions between tidal stream turbines and coastal environment. Renewable Energy, 229, 120665
https://doi.org/10.1016/j.renene.2024.120665, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66491

All Research

Journal Articles

Li, X., Li, M., Wolf, J., Williams, A., Badoe, C., & Masters, I. (2024). Local and regional interactions between tidal stream turbines and coastal environment. Renewable Energy, 229, 120665
https://doi.org/10.1016/j.renene.2024.120665, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66491
Fairley, I., King, N., McIlvenny, J., Lewis, M., Neill, S., Williamson, B., Masters, I., & Reeve, D. (2024). Intercomparison of surface velocimetry techniques for drone-based marine current characterization. Estuarine, Coastal and Shelf Science, 299
https://doi.org/10.1016/j.ecss.2024.108682, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65660
Badoe, C., Li, X., Williams, A., & Masters, I. (2024). Output of a tidal farm in yawed flow and varying turbulence using GAD-CFD. Ocean Engineering, 294, 116736
https://doi.org/10.1016/j.oceaneng.2024.116736, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65560
GEORGE, D., Collins, I., Masters, I., & Hossain, M. (2024). Extreme load analysis of flexible wave energy converters utilising nonlocal continuum damage mechanics. Applied Ocean Research, 142, 103843
https://doi.org/10.1016/j.apor.2023.103843, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65661
Esmaeili, A., George, D., Masters, I., & Hossain, M. (2023). Biaxial experimental characterizations of soft polymers: A review. Polymer Testing, 128, 108246
https://doi.org/10.1016/j.polymertesting.2023.108246, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64817
Esmaeili, A., Hossain, M., & Masters, I. (2023). Comparison of two compounding techniques for carbon nanotubes filled natural rubbers through microscopic and dynamic mechanical characterizations. Materials Letters, 335, 133786
https://doi.org/10.1016/j.matlet.2022.133786, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62219
Collins, I., Contino, M., Marano, C., Masters, I., & Hossain, M. (2023). On the influence of time-dependent behaviour of elastomeric wave energy harvesting membranes using experimental and numerical modelling techniques. European Journal of Mechanics - A/Solids, 98, 104895
https://doi.org/10.1016/j.euromechsol.2022.104895, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62157
Neill, S., Fairley, I., Rowlands, S., Young, S., Hill, T., Unsworth, C., King, N., Roberts, M., Austin, M., Hughes, P., Masters, I., Owen, A., Powell, B., Reeve, D., & Lewis, M. (2023). Characterizing the Marine Energy Test Area (META) in Wales, UK. Renewable Energy, 205, 447-460.
https://doi.org/10.1016/j.renene.2023.01.105, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62482
Esmaeili, A., Masters, I., & Hossain, M. (2023). A novel carbon nanotubes doped natural rubber nanocomposite with balanced dynamic shear properties and energy dissipation for wave energy applications. Results in Materials, 17, 100358
https://doi.org/10.1016/j.rinma.2022.100358, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62176
Faraggiana, E., Chapman, J., & Masters, I. (2022). Influence of directional wave spreading on a WEC device. International Marine Energy Journal, 5(2), 227-242.
https://doi.org/10.36688/imej.5.227-242, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61812
McIlvenny, J., Williamson, B., Fairley, I., Lewis, M., Neill, S., Masters, I., & Reeve, D. (2022). Comparison of dense optical flow and PIV techniques for mapping surface current flow in tidal stream energy sites. International Journal of Energy and Environmental Engineering, 14
https://doi.org/10.1007/s40095-022-00519-z, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61250
Fairley, I., Williamson, B., McIlvenny, J., King, N., Masters, I., Lewis, M., Neill, S., Glasby, D., Coles, D., Powell, B., Naylor, K., Robinson, M., Reeve, D., Naylor, K., & Reeve, D. (2022). Drone-based large-scale particle image velocimetry applied to tidal stream energy resource assessment. Renewable Energy, 196, 839-855.
https://doi.org/10.1016/j.renene.2022.07.030, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60456
Masters, I., Bird, J., Birch, B., Reader, M., Turner, W., Holland, T., Lake, T., & Williams, A. (2022). Remote river energy system: an open-source low-maintenance turbine design for remote areas. Proceedings of the Institution of Civil Engineers - Energy, 175(2), 64-80.
https://doi.org/10.1680/jener.21.00101, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58143
Badoe, C., Edmunds, M., Williams, A., Nambiar, A., Sellar, B., Kiprakis, A., & Masters, I. (2022). Robust validation of a generalised actuator disk CFD model for tidal turbine analysis using the FloWave ocean energy research facility. Renewable Energy, 190, 232-250.
https://doi.org/10.1016/j.renene.2022.03.109, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59726
Faraggiana, E., Chapman, J., Williams, A., Whitlam, C., & Masters, I. (2022). Investigation of new layout design concepts of an array-on-device WaveSub device. Renewable Energy, 190, 501-523.
https://doi.org/10.1016/j.renene.2022.03.126, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59821
Todeschini, G., Coles, D., Lewis, M., Popov, I., Angeloudis, A., Fairley, I., Johnson, F., Williams, A., Robins, P., & Masters, I. (2022). Medium-term variability of the UK's combined tidal energy resource for a net-zero carbon grid. Energy, 238, 121990
https://doi.org/10.1016/j.energy.2021.121990, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58055
Collins, I., Hossain, M., Dettmer, W., & Masters, I. (2021). Flexible membrane structures for wave energy harvesting: A review of the developments, materials and computational modelling approaches. Renewable and Sustainable Energy Reviews, 151, 111478
https://doi.org/10.1016/j.rser.2021.111478, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57275
Togneri, M., Masters, I., & Fairley, I. (2021). Wave-turbulence separation at a tidal energy site with empirical orthogonal function analysis. Ocean Engineering, 237, 109523
https://doi.org/10.1016/j.oceaneng.2021.109523, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57524
Horrillo-Caraballo, J., Yin, Y., Fairley, I., Karunarathna, H., Masters, I., & Reeve, D. (2021). A comprehensive study of the tides around the Welsh coastal waters. Estuarine, Coastal and Shelf Science, 254, 107326
https://doi.org/10.1016/j.ecss.2021.107326, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56553
Lake, T., Hughes, J., Togneri, M., Williams, A., Jeffcoate, P., Starzmann, R., Kaufmann, N., & Masters, I. (2021). Strain gauge measurements on a full scale tidal turbine blade. Renewable Energy, 170, 985-996.
https://doi.org/10.1016/j.renene.2021.01.137, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56216
Ransley, E., Brown, S., Hann, M., Greaves, D., Windt, C., Ringwood, J., Davidson, J., Schmitt, P., Yan, S., Wang, J., Wang, J., Ma, Q., Xie, Z., Giorgi, G., Hughes, J., Williams, A., Masters, I., Lin, Z., Chen, H...., & Bingham, H. (2021). Focused wave interactions with floating structures: a blind comparative study. Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics, 174(1), 46-61.
https://doi.org/10.1680/jencm.20.00006, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56685
Faraggiana, E., Chapman, J., Williams, A., Masters, I., Faraggiana, E., Williams, A., & Masters, I. (2020). Genetic based optimisation of the design parameters for an array-on-device orbital motion wave energy converter. Ocean Engineering, 218, 108251
https://doi.org/10.1016/j.oceaneng.2020.108251, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55550
Fairley, I., Horrillo-Caraballo, J., Masters, I., Karunarathna, H., & Reeve, D. (2020). Spatial Variation in Coastal Dune Evolution in a High Tidal Range Environment. Remote Sensing, 12(22), 3689
https://doi.org/10.3390/rs12223689, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55734
Hughes, J., Williams, A., & Masters, I. (2020). A blind test on floats in extreme waves using a transient potential flow model. Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics, 173(3), 132-143.
https://doi.org/10.1680/jencm.19.00037, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53948
Fairley, I., Lewis, M., Robertson, B., Hemer, M., Masters, I., Horrillo-Caraballo, J., Karunarathna, H., & Reeve, D. (2020). A classification system for global wave energy resources based on multivariate clustering. Applied Energy, 262
https://doi.org/10.1016/j.apenergy.2020.114515, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53336
Edmunds, M., Williams, A., Masters, I., Banerjee, A., & VanZwieten, J. (2020). A spatially nonlinear generalised actuator disk model for the simulation of horizontal axis wind and tidal turbines. Energy, 194, 116803
https://doi.org/10.1016/j.energy.2019.116803, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53115
Faraggiana, E., Whitlam, C., Chapman, J., Hillis, A., Roesner, J., Hann, M., Greaves, D., Yu, Y., Ruehl, K., Masters, I., Foster, G., & Stockman, G. (2020). Computational modelling and experimental tank testing of the multi float WaveSub under regular wave forcing. Renewable Energy, 152, 892-909.
https://doi.org/10.1016/j.renene.2019.12.146, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53109
Togneri, M., Pinon, G., Carlier, C., Bex, C., & Masters, I. (2020). Comparison of synthetic turbulence approaches for blade element momentum theory prediction of tidal turbine performance and loads. Renewable Energy, 145, 408-418.
https://doi.org/10.1016/j.renene.2019.05.110, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50672
http://dx.doi.org/10.1016/j.renene.2019.05.110
Lewis, M., McNaughton, J., Márquez-Dominguez, C., Todeschini, G., Togneri, M., Masters, I., Allmark, M., Stallard, T., Neill, S., Goward-Brown, A., & Robins, P. (2019). Power variability of tidal-stream energy and implications for electricity supply. Energy, 138, 1061-1074.
https://doi.org/10.1016/j.energy.2019.06.181, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51005
https://www.sciencedirect.com/science/article/pii/S0360544219313192
Dalton, G., Bardócz, T., Blanch, M., Campbell, D., Johnson, K., Lawrence, G., Lilas, T., Friis-Madsen, E., Neumann, F., Nikitas, N., Ortega, S., Pletsas, D., Simal, P., Sørensen, H., Stefanakou, A., & Masters, I. (2019). Feasibility of investment in Blue Growth multiple-use of space and multi-use platform projects; results of a novel assessment approach and case studies. Renewable and Sustainable Energy Reviews, 107, 338-359.
https://doi.org/10.1016/j.rser.2019.01.060, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49196
Neill, S., Angeloudis, A., Robins, P., Walkington, I., Ward, S., Masters, I., Lewis, M., Piano, M., Avdis, A., Piggott, M., Aggidis, G., Evans, P., Adcock, T., Židonis, A., Ahmadian, R., & Falconer, R. (2018). Tidal range energy resource and optimization – Past perspectives and future challenges. Renewable Energy, 127, 763-778.
https://doi.org/10.1016/j.renene.2018.05.007, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39886
Fairley, I., Karunarathna, H., & Masters, I. (2018). The influence of waves on morphodynamic impacts of energy extraction at a tidal stream turbine site in the Pentland Firth. Renewable Energy, 125, 630-647.
https://doi.org/10.1016/j.renene.2018.02.035, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa38415
Togneri, M., Lewis, M., Neill, S., & Masters, I. (2017). Comparison of ADCP observations and 3D model simulations of turbulence at a tidal energy site. Renewable Energy, 114, 273-282.
https://doi.org/10.1016/j.renene.2017.03.061, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32173
Togneri, M., Jones, D., Neill, S., Lewis, M., Ward, S., Piano, M., & Masters, I. (2017). Comparison of 4- and 5-beam acoustic Doppler current profiler configurations for measurement of turbulent kinetic energy. Energy Procedia, 125, 260-267.
https://doi.org/10.1016/j.egypro.2017.08.170, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa35287
Smith, H., Fairley, I., Robertson, B., Abusara, M., & Masters, I. (2017). Wave resource variability: Impacts on wave power supply over regional to international scales. Energy Procedia, 125, 240-249.
https://doi.org/10.1016/j.egypro.2017.08.202, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa35286
Elasha, F., Mba, D., Togneri, M., Masters, I., & Teixeira, J. (2017). A hybrid prognostic methodology for tidal turbine gearboxes. Renewable Energy, 114(Part B), 1051-1061.
https://doi.org/10.1016/j.renene.2017.07.093, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa34753
Fairley, I., Smith, H., Robertson, B., Abusara, M., & Masters, I. (2017). Spatio-temporal variation in wave power and implications for electricity supply. Renewable Energy, 114(Part A), 154-165.
https://doi.org/10.1016/j.renene.2017.03.075, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32791
Edmunds, M., Williams, A., Masters, I., & Croft, N. (2017). An enhanced disk averaged CFD model for the simulation of horizontal axis tidal turbines. Renewable Energy, 101, 67-81.
https://doi.org/10.1016/j.renene.2016.08.007, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa29491
Zangiabadi, E., Masters, I., Williams, A., Croft, N., Malki, R., Edmunds, M., Mason-Jones, A., & Horsfall, I. (2017). Computational prediction of pressure change in the vicinity of tidal stream turbines and the consequences for fish survival rate. Renewable Energy, 101, 1141-1156.
https://doi.org/10.1016/j.renene.2016.09.063, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30212
Edmunds, M., Masters, I., Evans, B., & Laramee, B. (2016). Enhanced Flow Visualisation of Complex Aerodynamic Phenomena Using Automatic Stream Surface Seeding with Application to the BLOODHOUND SSC Land Speed Record Vehicle. The Aeronautical Journal, 120(1226), 547-571.
https://doi.org/10.1017/aer.2016.10, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa25027
http://cs.swan.ac.uk/~csbob/research/seeding/surface/bloodhound/edmunds15enhanced.pdf
Togneri, M. & Masters, I. (2016). Micrositing variability and mean flow scaling for marine turbulence in Ramsey Sound. Journal of Ocean Engineering and Marine Energy, 2(1), 35-46.
https://doi.org/10.1007/s40722-015-0036-0, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23511
Fairley, I., Masters, I., & Karunarathna, H. (2016). Numerical modelling of storm and surge events on offshore sandbanks. Marine Geology, 371, 106-119.
https://doi.org/10.1016/j.margeo.2015.11.007, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa25976
McLoughlin, T., Edmunds, M., Tong, C., S, R., Masters, I., Chen, G., Max, N., Yeh, H., & Laramee, B. (2015). Visualization of Input Parameters for Stream and Pathline Seeding. International Journal of Advanced Computer Science and Applications, 6(4)
https://doi.org/10.14569/IJACSA.2015.060417, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23190
Fairley, I., Masters, I., & Karunarathna, H. (2015). The cumulative impact of tidal stream turbine arrays on sediment transport in the Pentland Firth. Renewable Energy, 80, 755-769.
https://doi.org/10.1016/j.renene.2015.03.004, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20563
http://www.journals.elsevier.com/renewable-energy/
Togneri, M., Masters, I., Williams, A., Croft, T., Togneri, M., Edmunds, M., Zangiabadi, E., Fairley, I., Karunarathna, H., & Croft, N. (2015). A Comparison of Numerical Modelling Techniques for Tidal Stream Turbine Analysis. Energies, 8(8), 7833-7853.
https://doi.org/10.3390/en8087833, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23189
www.mdpi.com/journal/energies
Zangiabadi, E., Edmunds, M., Fairley, I., Togneri, M., Williams, A., Masters, I., & Croft, N. (2015). Computational Fluid Dynamics and Visualisation of Coastal Flows in Tidal Channels Supporting Ocean Energy Development. Energies, 8(6), 5997-6012.
https://doi.org/10.3390/en8065997, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa22297
www.mdpi.com/journal/energies
Edmunds, M., Malki, R., Williams, A., Masters, I., Croft, T., Masters, I., Croft, N., & Williams, A. (2014). Aspects of tidal stream turbine modelling in the natural environment using a coupled BEM–CFD model. International Journal of Marine Energy, 7, 20-42.
https://doi.org/10.1016/j.ijome.2014.07.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20863
Potter, G., Tunstall, T., Chapman, J., & Masters, I. (2014). Growing The Marine Energy Supply Chain In Wales. Educational Alternatives, 12(1314-7277)
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23192
http://www.scientific-publications.net/en/article/1000508/
Fairley, I., Ahmadian, R., Falconer, R., Willis, M., Masters, I., & Masters, I. (2014). The effects of a Severn Barrage on wave conditions in the Bristol Channel. Renewable Energy, 68, 428-442.
https://doi.org/10.1016/j.renene.2014.02.023, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20864
Malki, R., Masters, I., Williams, A., Nick Croft, T., & Croft, N. (2014). Planning tidal stream turbine array layouts using a coupled blade element momentum – computational fluid dynamics model. Renewable Energy, 63, 46-54.
https://doi.org/10.1016/j.renene.2013.08.039, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20865
Voke, M., Fairley, I., Willis, M., & Masters, I. (2013). Economic evaluation of the recreational value of the coastal environment in a marine renewables deployment area. Ocean & Coastal Management, 78, 77-87.
https://doi.org/10.1016/j.ocecoaman.2013.03.013, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14519
Masters, I., Malki, R., Williams, A., Croft, T., & Croft, N. (2013). The influence of flow acceleration on tidal stream turbine wake dynamics: A numerical study using a coupled BEM–CFD model. Applied Mathematical Modelling
https://doi.org/10.1016/j.apm.2013.06.004, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15141
Togneri, M., Chapman, J., Masters, I., Togneri, M., Orme, J., & Masters, I. (2013). The Buhl correction factor applied to high induction conditions for tidal stream turbines. Renewable Energy, 60, 472-480.
https://doi.org/10.1016/j.renene.2013.05.018, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15125
Buckland, H., Masters, I., Orme, J., Baker, T., & Masters, I. (2013). Cavitation inception and simulation in blade element momentum theory for modelling tidal stream turbines. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy
https://doi.org/10.1177/0957650913477093, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14991
Willis, M., Broudic, M., Haywood, C., Masters, I., & Thomas, S. (2013). Measuring underwater background noise in high tidal flow environments. Renewable Energy, 49, 255-258.
https://doi.org/10.1016/j.renene.2012.01.020, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9116
Fairley, I., Evans, P., Wooldridge, C., Willis, M., & Masters, I. (2013). Evaluation of tidal stream resource in a potential array area via direct measurements. Renewable Energy, 57, 70-78.
https://doi.org/10.1016/j.renene.2013.01.024, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14365
Zhenmin, P., Zhao, G., Michael, N., Robert, S., Nick, C., Rami, M., Ian, M., Chuck, H., Masters, I., Croft, N., & Laramee, B. (2013). Visualization of flow past a marine turbine: the information-assisted search for sustainable energy. Computing and Visualization in Science, 16(3), 89-103.
https://doi.org/10.1007/s00791-014-0229-4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa24667
Togneri, M., Malki, R., Williams, A., Croft, T., Togneri, M., Masters, I., Masters, I., Croft, N., & Williams, A. (2013). A coupled blade element momentum – Computational fluid dynamics model for evaluating tidal stream turbine performance. Applied Mathematical Modelling, 37(5), 3006-3020.
https://doi.org/10.1016/j.apm.2012.07.025, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12563
McLoughlin, T., Jones, M., Laramee, R., Malki, R., Masters, I., Hansen, C., Jones, M., Masters, I., & Laramee, B. (2012). Similarity Measures for Enhancing Interactive Streamline Seeding. IEEE Transactions on Visualization and Computer Graphics, 19(8), 1342-1353.
https://doi.org/10.1109/TVCG.2012.150, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15062
http://cs.swan.ac.uk/%7Ecsmark/PDFS/similaritymeasures.pdf
M., E., R.S., L., R., M., I., M., T.N., C., G., C., E., Z., Masters, I., Croft, N., & Laramee, B. (2012). Automatic Stream Surface Seeding: A Feature Centered Approach. Computer Graphics Forum, 31(3pt2), 1095-1104.
https://doi.org/10.1111/j.1467-8659.2012.03102.x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa24671
Willis, M., Croft, N., Lin, B., Williams, A., Mason-Jones, A., Fidler, R., Loman, J., Wooldridge, C., Thomas, S., Cook, A., Gallie, R., O’Doherty, T., O’Doherty, D., Gao, G., Ahmadian, R., Muhasilovic, M., Masters, I., Horsfall, I., Cross, M...., & Evans, P. (2010). Tidal turbine deployment in the Bristol Channel: a case study. Proceedings of the ICE - Energy, 163(3)-105.
https://doi.org/10.1680/ener.2010.163.3.93, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15621
Lewis, R., Masters, I., Rees, I., & Masters, I. (2006). Coupled and Uncoupled Contaminant Transport using Advanced Finite Volume Methods. , 292-310.
https://doi.org/10.1007/s00466-005-0671-8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1966
Rees, I., Masters, I., Malan, A., Lewis, R., & Masters, I. (2004). An Edge-Based Finite Volume Scheme For Saturated-Unsaturated Groundwater Flow,. , 4741-4759.
https://doi.org/10.1016/j.cma.2004.04.003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1965
Rees, I., Masters, I., Malan, A., Lewis, R., & Masters, I. (2004). An edge-based finite volume scheme for saturated–unsaturated groundwater flow. Computer Methods in Applied Mechanics and Engineering, 193(42-44)-4759.
https://doi.org/10.1016/j.cma.2004.04.003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15912
Khoei, A., Masters, I., Gethin, D., & Masters, I. (2002). Design optimisation of aluminium recycling processes using Taguchi technique. , 96-106.
https://doi.org/10.1016/S0924-0136(02)00273-X, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1947
Pao, W., Lewis, R., Masters, I., & Masters, I. (2001). A fully coupled hydro-thermo-poro-mechanical model for black oil reservoir simulation. , 1229-1256.
https://doi.org/10.1002/nag.174, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1967

Supervision

Untitled (current)

PhD

Other supervisor: Dr Mokarram Hossain
Untitled (current)

PhD

Other supervisor: Dr Mokarram Hossain
Flexible polymer-based sensors for structural health monitoring (current)

PhD

Other supervisor: Dr Mokarram Hossain
Understanding the fatigue behaviour of tidal turbine blades by a de-coupling approach. (current)

PhD

Other supervisor: Dr Mokarram Hossain
Transient BEMT models and validation through a sea trial turbine platform (awarded 2024)

PhD

Other supervisor: Dr Michael Togneri
Experimental and Numerical Investigations of a Flexible Membrane Wave Energy Converter (awarded 2023)

PhD

Other supervisor: Dr Mokarram Hossain
Tidal Energy and Coastal Models: Improved Turbine Simulation (awarded 2023)

EngD

Other supervisor: Dr Alison Williams

Taught Modules

EGA334 Mechanical Engineering Design 3

This module demonstrates the outcomes of three years of learning and applies multiple skills to a design project. The project will show that students can manage and deliver a design task, as a team, through all stages of the design process. Students should progress from specification to concept design, undertake analysis (using computer tools as appropriate) and produce a design report and assembly drawings.
EGTM71 Power Generation Systems

This module will provide a detailed introduction to the technology, politics and economics of power generation and the route to a net zero carbon future, with a focus on the UK context. Power for transport includes traditional and alternative power trains and covers, cars, aircraft and public transport. Electricity generation covers wind, nuclear, solar, hydro and gas. The use of incentives to promote renewable energy is discussed. Finally, future trends are discussed. Throughout the module, the technology is put into a political, social and economic context.

Professor Ian Masters

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Supervision

Untitled (current)

Untitled (current)

Flexible polymer-based sensors for structural health monitoring (current)

Understanding the fatigue behaviour of tidal turbine blades by a de-coupling approach. (current)

Transient BEMT models and validation through a sea trial turbine platform (awarded 2024)

Experimental and Numerical Investigations of a Flexible Membrane Wave Energy Converter (awarded 2023)

Tidal Energy and Coastal Models: Improved Turbine Simulation (awarded 2023)

Taught Modules

EGA334 Mechanical Engineering Design 3

EGTM71 Power Generation Systems