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{access view=!registered}Only logged in users can view the full text of the article.{/access}{access view=registered}Using a tool developed at CENER (the National Renewable Energy Centre of Spain), that includes all hurricane databases (there are six different basins in the world in which cyclones can be formed), it is possible to ascertain the actual wind speeds experienced and the Vref for potential (and existing) wind farms.
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{access view=!registered}Only logged in users can view the full text of the article.{/access}{access view=registered}When severe weather hits, the ultimate safety goal for maintenance crews is to get down from the towers and drive away from the wind farms; however, the very height of the turbines and expanse of the properties makes doing so no small effort. Therefore, it becomes critically important for wind farm operators to use a weather system that detects real-time lightning strikes. Furthermore, having the capability to provide alerts to on-site maintenance crews is a proven way to keep wind farm employees safe.
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{access view=!registered}Only logged in users can view the full text of the article.{/access}{access view=registered}The utilisation of natural energy sources such as offshore wind and tidal power is one of the most effective answers to some important global environmental problems. An offshore wind turbine generator system supplies electrical power to the utility, but a stable power supply to the grid is not feasible because the output power of the offshore wind generator system fluctuates at all times with wind conditions. Hence, we are proposing a hybrid generator system using offshore wind turbine generators in combination with a tidal generator system; the steady-state characteristics of this hybrid system are discussed in this paper.
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{access view=!registered}Only logged in users can view the full text of the article.{/access}{access view=registered}There are no international guidelines for calculating the Annual Energy Production (AEP) of proposed wind farm projects. AEP calculations are normally based on the Measure, Correlate and Predict (MCP) methodology. The correlation has historically meant assuming a straight-line relationship between site data and long-term met station data. Such correlation methodology (including the matrix methodology) is based on simple mathematical statistics; it does not include nor describe physical properties of wind and this affects the accuracy of AEP results.
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{access view=!registered}Only logged in users can view the full text of the article.{/access}{access view=registered}As an inexhaustible, clean and economical way to generate electricity, wind power often tops the list of alternative energy sources for companies around the world facing volatility in fossil fuel prices, supply uncertainties and environmental issues. The USA in particular is rethinking its energy mix with an emphasis on environmentally friendly, renewable domestic energy sources. The 20% Wind Energy by 2030 study published by the US Department of Energy (DOE) in 2008 stated that generating 20% of the country’s electricity from wind power is feasible by the year 2030.
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{access view=!registered}Only logged in users can view the full text of the article.{/access}{access view=registered}Real-Time Data
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{access view=!registered}Only logged in users can view the full text of the article.{/access}{access view=registered}As the wind farm industry operates further offshore into ever deeper waters, particularly in the UK with the Round 3 developments, a detailed understanding of the wave climate becomes essential. Wave data is complex and can be confusing. Even when of mild appearance, the state of the waves can dramatically affect logistics as well as health and safety issues. The provision of understandable real-time information to support operational decision-making is vital. Emu Limited’s spectral interface has been specifically developed and tailored to show wave data in graphical format for easy interpretation by operational staff.
