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Presented by : Maryline Mallet Other members involved in this project : Yves Gagnon, Gérard Poitras, René Thibault Development of the Wind Atlas for the.

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Presentation on theme: "Presented by : Maryline Mallet Other members involved in this project : Yves Gagnon, Gérard Poitras, René Thibault Development of the Wind Atlas for the."— Presentation transcript:

1 Presented by : Maryline Mallet Other members involved in this project : Yves Gagnon, Gérard Poitras, René Thibault Development of the Wind Atlas for the South-East of New Brunswick AIF Forum, May 19, 2006

2 Carte mondiale de la vitesse moyenne du vent géostrophique à 850 mb (~1000 m asl) pour les années 1976 – 1995 basée sur les données de réanalyse de NCEP/NCAR (Landberg et al., 2003) Global Context World mean geostrophic wind speed (m/s) at 850 mb (  1000 m agl) for the years 1976-1995 from NCEP/NCAR reanalysis database (Landberg et al. 2003)

3 Canadian Wind Energy Atlas at 50 m Environment Canada

4 Wind Resource of NB 50 m 80 m Gasset, Gagnon, Poitras, 2005

5 Objective of this Work Produce a high resolution wind map of South-East of New Brunswick Done in collaboration with the Greater Moncton Sewage Commission (GMSC) Used for the sitting of the GMSC wind turbine

6 Methodology Model - AnemoScope Wind Energy Simulation and Mapping Environment Canada Input data Input weather data - Canadian Wind Energy Atlas at 5 km resolution Input surface data - High resolution topography and land use

7 Atmospheric Boundary Layer Two families of data Surface data (ground and < 100 m agl) –Topography –Roughness and canopy –Surface weather stations Distribution not uniform Low reliability Upper air data (> 200 m agl) –Mesoscale properties Uniform distribution Known reliability

8 Modelling of the Wind Resource Weather data Numerical modelling rebuilding fields of wind speed and others parameters of interest Wind energy potential Schematic view of what integrates mesh at the ground (Source: www.cru.uea.ac.uk )www.cru.uea.ac.uk TopographyLand use

9 How AnemoScope Works ? Involves three major steps : The wind climate classification to produce a wind climate database Mesoscale simulation for a representative range of wind climate states Microscale modeling to refine the mesoscale results and produce microscale wind statistics. The microscale computes the modification of the mesoscale wind solution due to the effects of local topography and terrain roughness.

10 AnemoScope users don’t need to perform the wind climate classification because a global wind climate database (Environment Canada) comes with the software. Source : AnemoScope

11 Mesoscale Wind Climate Database Environment Canada 30 meters 50 meters 80 meters

12 Results Topography Land use

13 Topography The topography data used for the simulations are from Geobase http://www.geobase.ca/ Information : Scale : 1/50 000 Ground elevations are recorded in metres relative to Mean Sea Level (MSL) Datum : North American Datum 1983 (NAD83) Projection : Geographic Files are distributed in ASCII format and have a.dem file extension

14 Source : Geobase

15 Land Use Two data sources had to be integrated together -The land use data for the New Brunswick and the land use data for the rest of the Atlantic Provinces of Canada 1) New Brunswick Data : Comes from the Department of Natural Resources and Energy of New Brunswick (5 meters resolution) 2) Maritimes Data (Prince Edward Island and Nova Scotia) comes from the Geogratis site http://geogratis.cgdi.gc.ca/clf/fr Information : * Maritime strategic land use database (1987) * Vectors * Files are distributed in ERSI format and have a.eOO file extension * Original Map Scale: 1/250 000 * Projection : UTM * Datum : NAD1927

16 Source : Natural Resources Department and Geogratis

17 Conclusion Production of a high resolution Wind Atlas of South-East New Brunswick Installation of a wind turbine and anemometers in Dorchester Correlation : Wind Atlas - Wind Measurements - Power Production

18 Thank You!


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