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Wind power in forests II : Forest wind

Mohr, Matthias (author)
Uppsala universitet,Luft-, vatten- och landskapslära
Arnqvist, Johan, 1985- (author)
Uppsala universitet,Luft-, vatten- och landskapslära
Abedi, Hamidreza (author)
Chalmers Tekniska Högskola, Division of Fluid Dynamics
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Alfredsson, Henrik (author)
Kungliga Tekniska Högskolan, Linné Flow Centre
Baltscheffsky, Magnus (author)
WeatherTech Scandinavia AB
Bergström, Hans, 1952- (author)
Uppsala universitet,Luft-, vatten- och landskapslära
Carlén, Ingemar (author)
Teknikgruppen AB
Davidson, Lars (author)
Chalmers Tekniska Högskola, Division of Fluid Dynamics
Segalini, Antonio (author)
Kungliga Tekniska Högskola, Linné Flow centre
Söderberg, Stefan (author)
WeatherTech Scandinavia AB
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 (creator_code:org_t)
ISBN 9789176734995
Energiforsk, 2018
English 178 s.
  • Reports (other academic/artistic)
Abstract Subject headings
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  • Sweden has good conditions for wind power. However, most of Sweden (ca. 70%) is covered by forest. Forests decrease wind speeds and create turbulence, something which is not favourable for wind power. Several Swedish wind maps have shown that forests in Nordic countries can be well suited for wind power (e.g. Bergström and Söderberg 2011, Byrkjedal and Åkervik 2009).At the same time, there is uncertainty over wind conditions over forests at very high altitudes (ca. 150 m above ground). How good do wind resource assessment models agree with measurements? How much energy is a wind turbine in forest going to produce and which loads will a wind turbine in forest experience?This project has investigated all these issues. Work was concentrated in the following work packages:Wind resource at very high heightsTurbulence- and wind measurements at very high heights above forestAnalysis of turbulence data from forestsModel simulations with wind flow modelsModel simulations with very-high-resolution weather forecast modelsModel simulations with Large Eddy Simulation (LES) modelsImproved specification of so-called “synthetic turbulence” over forestAnalysis of airborne laser altimeter measurements over forestForest’s effects on wind turbine energy productionLoad simulations for wind turbines over forestWP1 studies how wind speed and direction varies with height over forest (up to ca 150 m above ground and higher up). Several profile relations are studied here.  Frequency distributions of wind shear and veer are presented. WP2 describes turbulence and wind measurements that have been carried out within the project at Hornamossen. Moreover, the measurement campaign that was carried out in a line over the Hornamossen-hill within the New European Wind Atlas project is described. WP3 analyses turbulence data from Hornamossen together with turbulence data from Ryningsnäs. Of special interest is how turbulence intensity decreases with height as well as if the IEC-standard class A, B or C for wind turbines is complied with at different heights. WP4 describes the newly developed linearised wind flow model ORFEUS with a dedicated forest module. WP5 describes model simulations with WRF and the MIUU model, their sensitivity for surface roughness and turbulence parameterisations. Mean wind profiles from the models are compared to Hornamossen. WP6 describes LES simulations with Chalmers LES model and WRF-LES. LES-resultats depend to a large degree on how the turbulent vortices are initialised at the inflow boundaries of the LES model. Several different methods for that are described. WP7 describes a new turbulence model (the Segalini & Arnqvist model) that includes atmospheric stability. This is a further development of the IEC turbulence model (=Mann model) for neutral stability. Coherence of turbulent winds as well as phase profiles are other improvements of the IEC model. WP8 describes a new method to compute leaf/needle/plant area density from laser scans of the Swedish forest and how one estimates surface roughness and zero plane displacement from that. The new method is compared with two other methods. Results are also compared with official forest data (“skoglig grunddata”). The effect on the wind profile is also shown. WP9 describes the new methods for estimating AEP from the Power Curve Working Group and the IEC standard for Power Performance Testing. Effects on estimated AEP are shown. A new simple model for calculating turbulence effects on energy production is developed and compared with data from a wind farm. Within WP10 a new generic open-source wind turbine is developed and used for load simulations with aero-elastic simulations. Results show that the new coherence model for turbulence gives much smaller loads than the turbulence model of the IEC standard.For more information on the different parts of the project the reader is referred to the report’s introduction, the ”Summary and Conclusions” of each chapter as well as the overall summary (”Executive Summary”) at the end of the report.

Subject headings

NATURVETENSKAP  -- Annan naturvetenskap (hsv//swe)
NATURAL SCIENCES  -- Other Natural Sciences (hsv//eng)
NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Meteorologi och atmosfärforskning (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Meteorology and Atmospheric Sciences (hsv//eng)

Keyword

Wind
Wind Power
Flow
Energy
Renewable Energy
Meteorology
Meteorologi
Fysik
Physics
Engineering Science
Teknisk fysik

Publication and Content Type

vet (subject category)
rap (subject category)

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