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Accredited simulation model for the online forecast of wind power generation
For Germany, Europe, the USA, and Canada, EuroWind provides you
four times a day with a 180 hour prediction of the
wind power generation. Amongst others, the data is available via the web terminal Lookweather.com, anywhere and at any time. Our in-house forecasting system SOWIE, that we use for this purpose, is the first and only internationally accredited wind power forecasting system world-wide. This guarantees our first class, independently monitored forecast accuracy as well as a maximum availability and reliability.
The recent implementation of our wind power forecasts into the BLOOMBERG PROFESSIONAL® service as well as the integration of our data into the information system Energy-Facts by Deutsche Börse Market Data & Analytics evince the superior relevance of EuroWind forecasts in the energy trading sector.
The advantages for our clients are a higher precision in scheduling
in the field of the power plant resource scheduling
as well as concerning the trade in electricity at the international energy exchanges, as for example the EEX, Powernext, Nord Pool, etc.
Learn more about the internationally accredited wind power forecasting system SOWIE:
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The advantages of the accredited wind power forecasting with SOWIE at a glance |
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Permanently safeguarded maximum data quality and -availability due to the application of the one-of-a-kind system SOWIE, which is accredited according to DIN EN ISO/IEC 17025:2005 |
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Implementation of the high resolution operational forecast models HIRLAM and GFS |
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Comprehension of a permanently updated data base including the site specifications of all wind turbines which are currently installed in Germany, Europe, and North America for a statistic optimum forecast of wind power output |
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High accuracy of wind energy forecast, taking into account the complex flow dynamics in the low mountain ranges or the specific conditions at offshore sites |
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180-hour wind power forecasting
horizon |
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World-wide wind power forecasting, also for individual wind farms or transmission grid areas |
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Continuous updating of the wind power forecast every 6 hours (four times a day) |
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Continuous optimization of the wind power forecast by means of updated production data |
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Custom file formats, as e.g. XML-, EXCEL-, CSV- or ACSII |
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Data access via web terminal Lookweather.com, FTP upload and/or email supply, or alternatively via your BLOOMBERG PROFESSIONAL® Service or the information system
Energy-Facts by Deutschen Börse Market Data & Analytics |
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Procedure
The procedure is based on the complex meteorological forecast models
HIRLAM (High Resolution Limited Area Model) of the Dutch weather
service and GFS (Global Forecast System) of the American weather service. Out of them, high resolution
three-dimensional wind- and temperature forecasts are
coupled with a data base of all installed wind turbines and with a module for wind power computation (figure 1).
The forecast model HIRLAM is working with a grid resolution
of about 10 kilometers.
On the basis of the data base of all currently operating wind
turbines
it is possible to transfer the forecast values, derived from HIRLAM and GFS, to each
individual wind farm site.
Thereby the individual characteristics of the vertical
wind profile in the ground layer and the corresponding hub height of the
wind turbine are taken into account.
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Ficure 1: Schematic illustration of the three components of the model chain SOWIE (in this example illustrated for HIRLAM) |
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By using the turbine specific power curve, the energy yield for a forecasting horizon of 180 hours is computed for each wind turbine seperately. Besides the shut down of wind turbines in the case of stormy weather conditions also yield losses
caused by deposits of rime on the rotor blades can be forecasted.
Thus, for you, being the grid operator, we can
exactly predict the power generation of individual
wind farms or also determine the wind power output for
individually configured areas.
Our accredited program system SOWIE is additionally used world-wide. For this purpose a comprehensive and permanently updated data base with information of all operating wind turbines within Europe and North America is used.
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Validation
The high accuracy in forecasts of SOWIE is proven by numerous validation results as well as by the regular and independent survey by the Deutsches Akkreditierungssystem Prüfwesen GmbH (DAP). Additionally, the development of our forecast accuracy is continuously monitored and recorded by German transmission system operators (cf. figure 2).
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Figure 2: Improvement of the quality of the wind power forecast by forecasting system SOWIE |
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The comparison between measured and simulated production data is proving the high quality of our wind power forecast with a good conformity. For example the monthly sum of the computed wind power for an exposed wind farm in the Hochschwarzwald (Black forest) is only about 2 % below the reported production data (cf. figure 3).
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Figure 3: Comparison of the measured and simulated
performance (wind power forecast) for a wind farm in the Hochschwarzwald
(Black Forest) |
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Results
Figures 4 and 5 from our web terminal show examples
of the wind power forecast for the whole of Europe
as well as for Spain and its provinces for a certain
prognosis date. Besides the forecasted wind power generation,
the corresponding load percentage of the existing
turbines is indicated in percent. Alternatively charts (cf. figure 1) and tables (e.g. Excel-sheet or XML file) with the precise production numbers can also be accessed on the web terminal.
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Figure 4: Europe-wide wind power forecasting |
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Figure 5: Wind power forecasting for Spain and provinces |
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If we have sparken your interest, please do not hesitate to contact us. We would be pleased to explain you the specialities and
possibilities of our range of services and our internationally accredited wind power forecasting system SOWIE in person.
Call +49 (0) 2234 98 76 23 for personal assistence!
Alternatively, please send us an email to  or use our form below to receive more details and information, thank you!
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