Designing the c-gen lightweight direct drive generator for wave and tidal energy

The C-GEN is a novel permanent magnet generator aimed at reducing overall system mass in direct drive power takeoff applications. The design of a C-GEN generator requires the combination of electromagnetic, structural and thermal models. Models used in the development of design tools applicable to both rotary and linear C-GEN generators are described in this study. The design tool is verified with the experiment results obtained from a 15 kW prototype. A genetic optimisation algorithm is developed combining the analytical model with economical issues to search for most suitable designs for specific applications. Designs are presented using the optimisation design tool for two marine renewable applications: a wave device called Oyster developed by Aquamarine Power and a tidal current device developed by Scotrenewables.

[1]  Zbigniew Michalewicz,et al.  Handbook of Evolutionary Computation , 1997 .

[2]  E. Furlani Permanent Magnet and Electromechanical Devices: Materials, Analysis, and Applications , 2001 .

[3]  Nicola Bianchi,et al.  Design optimisation of electric motors by genetic algorithms , 1998 .

[4]  M. Leijon,et al.  Experimental results from sea trials of an offshore wave energy system , 2007 .

[5]  Markus Mueller,et al.  A Lightweight Low-Speed Permanent Magnet Electrical Generator for Direct-Drive Wind Turbines , 2009, Renewable Energy.

[6]  Sang-Yong Jung,et al.  Optimal Design of Direct-Driven PM Wind Generator for Maximum Annual Energy Production , 2008, IEEE Transactions on Magnetics.

[7]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[8]  M.J. Kamper,et al.  Development of a thermofluid model for Axial field permanent-magnet Machines , 2005, IEEE Transactions on Energy Conversion.

[9]  Edward P. Furlani,et al.  Permanent Magnet Applications , 2001 .

[10]  H. Polinder,et al.  Optimization of Multibrid Permanent-Magnet Wind Generator Systems , 2009, IEEE Transactions on Energy Conversion.

[11]  Hüseyin R. Hiziroglu,et al.  Electromagnetic Field Theory Funda-mentals , 1997 .

[12]  Randy L. Haupt,et al.  Practical Genetic Algorithms , 1998 .

[13]  John Fletcher,et al.  Challenges to machine windings used in electrical generators in wave and tidal power plants , 2009, 2009 IEEE Conference on Electrical Insulation and Dielectric Phenomena.

[14]  T. W. Thorpe,et al.  Wave energy devices and the marine environment , 1993 .