slide1 l.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Opportunities for wind resource assessment using numerical and observational wind atlases: modelling, verification and a PowerPoint Presentation
Download Presentation
Opportunities for wind resource assessment using numerical and observational wind atlases: modelling, verification and a

Loading in 2 Seconds...

play fullscreen
1 / 18

Opportunities for wind resource assessment using numerical and observational wind atlases: modelling, verification and a - PowerPoint PPT Presentation


  • 200 Views
  • Uploaded on

Opportunities for wind resource assessment using numerical and observational wind atlases: modelling, verification and application J.C. Hansen, N.G. Mortensen, J. Badger, N.E. Clausen and P. Hummelshøj. Outline. Introduction Observational wind atlas Numerical wind atlas Verification

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Opportunities for wind resource assessment using numerical and observational wind atlases: modelling, verification and a' - hang


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
slide1
Opportunities for wind resource assessment using

numerical and observational wind atlases:

modelling, verification and application

J.C. Hansen, N.G. Mortensen, J. Badger,

N.E. Clausen and P. Hummelshøj

Wind Power Shanghai 2007 Risø National Laboratory • Technical University of Denmark

outline
Outline
  • Introduction
  • Observational wind atlas
  • Numerical wind atlas
  • Verification
  • Application
  • Conclusions

Wind Power Shanghai 2007 Risø National Laboratory • Technical University of Denmark

introduction
Introduction

◄ the observationalwind atlas method and the micro-scale flow model, WAsP, were conceived in the 80’s for the European Wind Atlas.

► the numerical wind atlas andmesoscale model techniques for larger domains, mesoscale effects and long-term wind climates came in the 90’s.

State-of-the-art for wind resource assessment and planning is a combination of micro- and mesoscale modelling with verification against measurements.

Wind Power Shanghai 2007 Risø National Laboratory • Technical University of Denmark

observational wind atlas
Observational wind atlas

Inputs

  • measured time-series of wind speed and direction – observed wind climate
  • terrain topography – elevation, roughness and obstacles – from digitised maps, SRTM data, Google Earth

Outputs

  • generalised regional wind climate for the specific location

Applications

  • energy production estimates for wind farms in the region near the meteorological station

Wind Power Shanghai 2007 Risø National Laboratory • Technical University of Denmark

observational wind atlas limited coverage
Observational wind atlas – limited coverage

In flat, uniform terrain the density of meteorological station should be high – spacing less than ~50 km for planning purposes.

In complex terrain and for project development, on-site measurements are necessary.

Wind Power Shanghai 2007 Risø National Laboratory • Technical University of Denmark

wasp wind resources production estimation and siting
WAsP – wind resources, production estimation and siting
  • The industry-standard Wind Atlas Analysis and Application Program
  • More than 2000 users in over 100 countries use WAsP for:
    • Wind data analysis
    • Map digitisation & editing
    • Wind atlas generation
    • Wind climate estimation
    • Power production of WTG’s
    • Micro-siting of wind turbines
    • Wind farm production
    • Wind farm efficiency
    • Wind resource mapping

Wind Power Shanghai 2007 Risø National Laboratory • Technical University of Denmark

numerical wind atlas mesoscale
Numerical wind atlas – mesoscale

Inputs

  • NCEP/NCAR reanalysis data-set
  • terrain topography – elevation and roughness – from satellite and SRTM data

Outputs

  • generalised regional wind climatefor large domains

Applications

  • planning
  • assessment of mesoscale effects at wind farm projects

Wind Power Shanghai 2007 Risø National Laboratory • Technical University of Denmark

wind atlas for egypt

Numerical wind atlas

Wind Atlas for Egypt

Wind Power Shanghai 2007 Risø National Laboratory • Technical University of Denmark

verification
Verification
  • verification of mesoscale modelling by comparing to measurements requires application of the wind atlas methodology to account for
    • the spatial representation of the terrain
    • roughness conditions varying on a scale smaller than the grid scale
    • sharp or steep surface elevation features that will tend to be smoothed and rounded by the grid scale
  • high-quality and well-distributed wind measurement stations are needed

Wind Power Shanghai 2007 Risø National Laboratory • Technical University of Denmark

verification10
Verification
  • Comparison of wind climates in Egypt – numerical wind atlas against observational wind atlas at measurement sites
    • heights over flat terrain: 10 m, 25 m, 50 m, 100 m and 200 m
    • uniform surface roughness of z0 = 0.03 m

Wind Power Shanghai 2007 Risø National Laboratory • Technical University of Denmark

verification observed wind climate wind measurements
Verification – observed wind climate / wind measurements
  • The wind data must be
    • accurate
    • representative
    • reliable

Proven sensors and new technology

Wind Power Shanghai 2007 Risø National Laboratory • Technical University of Denmark

wind in natural terrain uncertainties
Wind in natural terrain – uncertainties

Wind Power Shanghai 2007 Risø National Laboratory • Technical University of Denmark

application
Application
  • the combined numerical and observational wind atlas methods verified against measurements offer opportunities for
    • planning and feasibility studies
    • project development
    • wind farm siting, layout design and micro-siting
  • tests and sensitivity analyses of uncertainties of microscale and mesoscale modelling are needed, e.g.
    • model parameters
    • adaptation of models to local conditions
    • site calibration and verification against measurements
    • wind climate variability, inter-annual variations, long-term averages
    • climate change
    • man-made large-scale effects, especially of new large wind farms

Wind Power Shanghai 2007 Risø National Laboratory • Technical University of Denmark

application14
Application

mesoscale modelling may be used to identify locations with large gradients and thus locations where an extended measurement programme will be advisable in order to avoid gross errors in wind resource assessment.

Wind Power Shanghai 2007 Risø National Laboratory • Technical University of Denmark

slide15
KAMM wind resource map only

Grid cell size 5120 m

Wind farm of five 2 MW turbines

Estimated AEP = 39 GWh

KAMM/WAsP wind resource map

Grid cell size 20 m

Wind farm of five 2 MW turbines

Estimated AEP = 55 GWh

Wind Power Shanghai 2007 Risø National Laboratory • Technical University of Denmark

modelling verification and uncertainty summary
Modelling, verification and uncertainty summary

Wind Power Shanghai 2007 Risø National Laboratory • Technical University of Denmark

state of the art wind atlas method
State-of-the-art wind atlas method

Wind Power Shanghai 2007 Risø National Laboratory • Technical University of Denmark

conclusions
Conclusions

The wind atlas method

  • resolves different features of the terrain by employing both mesoscale and microscale models
  • provides new opportunities for planning on a large scale with limited availability of wind data
  • is useful in the different phases of planning and project preparation, providing readily applicable, standardised information for all parties of the projects
  • ensures a consistent basis for verification at wind farm sites
  • improves uncertainty assessment
  • reduces risk of gross errors

Techniques of the wind atlas method should be improved through continued research efforts, making use of the ever-increasing computing power of new computers and of new measurement technologies, mapping techniques and satellite imagery.

Wind Power Shanghai 2007 Risø National Laboratory • Technical University of Denmark