Conference programme

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Delegates are invited to meet and discuss with the poster presenters during the poster presentation sessions between 10:30-11:30 and 16:00-17:00 on Thursday, 19 November 2015.

Lead Session Chair:
Stephan Barth, ForWind - Center for Wind Energy Research, Germany
Di Li WindSim AS, Norway
Co-authors:
Catherine Meissner (1) F Jake P. Gentle (2) Sara Koller (3)
(1) WindSim AS, Tønsberg, Norway (2) Meteotest, Bern, Switzerland (3) Idaho National Laboratory, Idaho Falls, United States

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Presenter's biography

Biographies are supplied directly by presenters at EWEA 2015 and are published here unedited

Di Li, wants to leave the world better than he found it, it's why he works timely with passion and innovation, to reduce the impact on climate change.

As Wind Service Manager, he has always been working on making uncertainty certain. With knowledge, reliability and experience gained from hundreds of wind farms in more than 30 countries, and from prestigious Royal Institute of Technology in Stockholm, his clients witness unbelievable detail to build and maintain their wind farms on an unbelievable scale.


Poster

Poster Download poster (6.65 MB)

Abstract

A CFD based Wind Atlas Method

Introduction

Almost every country has created wind resource maps to find potential windy places to build new wind farms. The range of methods used for these wind resource maps is huge and includes mesoscale modelling, linear methods, and computational fluid dynamics (CFD).
Using mesoscale models has the advantage that the area of interest can be fully covered by one model area, while using other approaches leads to several simulation areas which need to be combined afterwards. However, mesoscale modeling still does not reach the horizontal resolution necessary for a reliable wind resource map. Therefore, it has become quite common to use CFD to produce wind resource maps and to combine the different simulation areas into one big area in the end.


Approach

Different approaches can be chosen; to combine the results on the wind speed level, or to combine the already created wind resource maps of each area. In any case, a clever interpolation or decision technique needs to be used to have smooth transmissions at the boarder domain of every area to the next area. The CFD wind atlas method developed by WindSim is based on the combination of the results on the wind speed level.

Main body of abstract

The advantages and disadvantages of the individual methods will be compared and the implementation developed for the CFD tool WindSim will be explained and validated. Combining different simulation areas always requires new interpolation techniques and different CFD models have different approaches to it.

Conclusion

WindSim has developed a new CFD wind atlas method which can combine several single projects of 60 million cells each. A good interpolation at the boarders makes it possible to combine the results at the wind speed level.


Learning objectives
The audience will learn about the challenges of using CFD to produce a wind atlas.
The audience will understand how using CFD can enhance the accuracy of a wind atlas.
The audience will learn about a new tool to create a CFD based wind atlas.