Wind turbine is the key equipments of the wind farm, the distribution area is wide, and the working condition is poor, in the event of failure, caused by the loss and consequences are incalculable. Therefore, in order to ensure the safe and stable operation, it is necessary to research the fault diagnosis for the wind turbine. As the wind turbine produces vast amounts of data in the daily monit...

Wind power prediction accuracy is important for assessing the security and economy when wind power is connected to the grid, and wind speed is the key factor. This article presents a future four hours prediction scheme that combined chaos phase space reconstruction with NWP method. Historical wind speed data are reconstructed as phase space vectors, which are used as the first input part of pre...

Data Assimilation (DA) has enabled huge improvements in the skill of terrestrial operational weather forecasting. In this study, we use a variational DA scheme with computationally efficient solar wind model and situ observations from STEREO-A, STEREO-B ACE. This enables solar-wind far Sun, such as at 1 AU, to update improve inner boundary conditions (at 30 radii). way, observational informatio...

Wind industry is expanding rapidly to meet the current energy challenges. The expansion in quantity and size of the wind turbines will also increase the operation and maintenance (O&M) cost. Monitoring the performance of wind turbines can reduce the O&M cost. Supervisory Control and Data Acquisition (SCADA) system records various wind turbine parameters that can be analyzed for performance moni...

This thesis focuses on the development, analysis and evaluation of methods for the retrieval of ocean surface winds with synthetic aperture radar (SAR) and surface currents with infrared (IR) radiometer sensors. The SAR wind speed retrievals are based on geophysical model functions using wind directions obtained with two approaches. The first approach determines wind directions from the spatial...

High quality wind measurements in cities are needed for numerous applications including wind engineering. Such data-sets are rare and measurement platforms may not be optimal for meteorological observations. Two years’ wind data were collected on the BT Tower, London, UK, showing upward deflection for all wind directions. Wind tunnel simulations were performed to investigate flow distortion aro...

The increasing amount of information available in the web demands sophisticated querying methods and knowledge discovery techniques. In this study, we introduce our architectural framework WIND for a data warehouse over a domain-speciic thematic section of the In-ternet. The aim of WIND is to provide a partially materialized structured view of the underlying information sources, on which databa...

Time series of Circulation Weather Type (CWT), including daily averaged wind direction and vorticity, are self-classified by similarity using Kohonen Neural Networks (KNN). It is shown that KNN is able to map by similarity all 7300 five-day CWT sequences during the period of 1975-94, in London, United Kingdom. It gives, as a first result, the most probable wind sequences preceding each one of t...

We study the impact of environmental regulations on the patent activities for wind turbines between 1980 and 2008. We explicitly control for energy market liberalisation and take a potential interaction between liberalisation and policy instruments into account. We find a strong and highly significant effect of environmental tax revenues, which we regard as a proxy for the extent to which energ...