Special Issue "Wind Energy 2011"
A special issue of Energies (ISSN 1996-1073).
Deadline for manuscript submissions: closed (31 March 2011)
Prof. Dr. Simon J. Watson (Website)
Centre for Renewable Energy Systems Technology, Department of Electronic and Electrical Engineering, Holywell Park, Loughborough University, Loughborough, Leicestershire, LE11 3TU, UK
Fax: +44 1509 635341
Interests: wind power; wind resource assessment; wind turbine wake modeling; climate change impacts on wind energy; integration of renewable energy into networks; wind turbine condition monitoring
This special issue entitled “Wind Energy 2011” will be devoted to new developments in the field of wind energy. Articles related to the state of the art for wind turbines, supporting technology and wind energy in general will be considered, however, articles are particularly encouraged in the areas listed below. Articles are sought which relate to novel wind turbine concepts particularly with regard to very large (>5MW) machines and supporting infrastructure. This includes areas such as novel concepts in the design of drive trains, generators, controllers, blades and grid connections. Wind turbine reliability and availability is an area of particular concern to the wind energy industry and articles which relate to novel concepts in wind turbine health monitoring, fault detection and wind turbine reliability are encouraged. The use of numerical models in the design, siting and operation of wind turbines is increasing with advances in computing technology. Articles which deal with use of such models in areas such as advanced wind turbine control, loading, aeroelastics, aeroacoustics, wake modelling, wind resource assessment, wind power forecasting and general turbine design would be of significant interest. Accurate measurement of the wind is critical to wind farm planning. The use of advanced measurement techniques such as LIDAR and SODAR has attracted much attention recently. Articles which deal with the application of more advanced wind measurement methods including remote sensing is encouraged. The impact of climate change on regional wind resources is far from certain. Articles which deal with the use of historical and model predicted data to infer potential changes in regional wind climates would be of particular interest.
Simon J. Watson
- wind energy
- wind turbine
- wind resource
- wind turbine design
- condition monitoring
- measurement and methods
- numerical modelling
- climate change