wind modeling data Articles
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Data–driven modelling, control, and fault detection of wind turbine systems
In this paper, data–driven system modelling, control, and fault detection technique for wind turbine systems are researched. The developed algorithm is to recursively update system parameters using predictor–based system identification (SID) technique. Updated system parameters are used to design subspace predictive controller for wind turbine systems with constraint on pitch angle and generator ...
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Exergy analysis of a wind turbine
The present paper deals with a developed and improved approach for exergy analysis of the wind. Based on this model, a typical wind turbine model (Bergey Excel-S) is assumed to be installed in two cities in Iran. The results show that, with regard to the annual average wind data, if the wind turbine is installed in Tehran, by varying the cut in, rated and furling speeds from 3.1, 13.8 and 15.6 ...
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Quantitative analysis of technological development within renewable energy technologies
The technological development of renewable energy technologies is affected by several factors such as policy initiatives, market developments, and learning within the industry. A simplified expression describing this development, i.e. cost reduction as result of accumulated experience, is increasingly being incorporated in models to assess long-term development of renewable energy technologies. ...
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Energetic and exergetic assessment of solar and wind potentials in Europe
This paper deals with a physics–based assessment of renewable energy potential in Europe, particularly solar and wind energy sources, using two literature models. A sensibility analysis with the weather data is first done. Actual temperature, pressure, relative humidity, global radiation and wind speed data are employed to develop energy and exergy maps for Europe, based on iso–areas of land–use. ...
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Design of an autonomous renewable hybrid power system
This paper presents the development of an optimisation model for the design of an autonomous solar-wind hybrid system in combination with battery bank and diesel generator. The performance of solar and wind system is evaluated using new practical mathematical models, in combination with hourly measured meteorological data. Loss of power supply probability technique is used as a key system ...
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Floating wind digital twin set to accelerate wave impact learnings
A new digital twin project led by floating wind developer Principle Power will use advanced wave behavior analysis to improve load calculations critical to long-term design efficiency, project partners told New Energy Update. Last month, U.S. group Principle Power announced it would lead a consortium of public and private groups to develop the world's first digital twin software for floating ...
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Global wind speeds bounce back to hike output; New Jersey raises offshore target to 7.5 GW
Global onshore wind speeds are rising, new study finds Global onshore wind speeds have risen since 2010, after decades of decline, boosting potential wind energy by around 17% between 2010 and 2017, according to a new academic study published in Nature. Rising wind speeds have increased U.S. wind turbine capacity factors by around 2.5% since 2010, representing half the gains in capacity ...
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Wind Energy Production Estimates: Moving Beyond Time Averages
No need to be a statistician to see that averages are often useful to compare different things. And yet, they often fall short as a true measure of performance. For instance, we use averages to compare the current weather against the climate normals or to get a sense of how our favorite sport team or player is doing. Team (player) statistics are a concise way of combining the scores from many ...
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Benchmarking platforms: why more knowledge means more leverage
Greater plant owner demand for high speed computing and benchmarking data analysis platforms will cause rapid development of power upgrade packages and create a basis for further OEM innovation. High speed computing is making a major difference in wind data analysis. Today, major advances in time series and spatial analysis as well as the wake models used to estimate losses are possible because ...
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