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Wind energy assessment for Nevada: Observations and ... energy assessment for Nevada: Observations...
Transcript of Wind energy assessment for Nevada: Observations and ... energy assessment for Nevada: Observations...
Wind energy assessment for Nevada: Observations and modelingObservations and modeling
D. Koracin, R. Reinhardt, and M. Liddle
Desert Research Institute, Reno, Nevada
161st Nortwest Regional Meeting (June 25-28, 2006)
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How many homes can oneHow many homes can one megawatt of wind serve?megawatt of wind serve?1 MW ~ 1,000 homes100 MW wind farm ~ 30,000 homes
30% capacity factor30% capacity factor1,000 MW coal plant ~ 750,000 homes
75% capacity factor
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DRI’s Wind Energy ResearchObjectiveTo improve wind power density maps for Nevada.Wind observations (Remote Automated Weather Stations (RAWS), 50m- meteorological towers, and an acoustic sounder) /Western Regional Climate Center/sounder). /Western Regional Climate Center/.Modeling winds and turbulence on mesoscale domains (Cycles: annual, monthly, seasonal, diurnal; Heights: 10m, 50m, and 90m; Use data assimilation to improve wind predictions; Provide probability density functions to correct model uncertainties or/and errors) /DRI’s Atmosphericmodel uncertainties or/and errors). /DRI s Atmospheric and Dispersion Modeling Program/.Use mesoscale model results (horizontal resolution of 2-3 km) as input to an adaptive grid model to simulate subgrid-scale (order of 100m or less) optimum locations for wind turbines/farms /UNLV/
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for wind turbines/farms. /UNLV/
Main Goals & TasksDRI Observations DRI Mesoscale Modeling UNLV MicroscaleDRI ObservationsData analysisExisting stationsNew meteorology towers(50 & 100 )
DRI Mesoscale ModelingWind statisticsTurbulence statisticsWind power density mapsR i l d i
UNLV Microscale ModelingUse mesoscale modeling results to estimate
(50 m & 100+ m)Acoustic sounders
Regional domainEntire Nevada
MonthlySeasonal
optimum microlocation of the wind turbines/farms
SeasonalAnnual
NRELAdvising roleGuidance and application
DISGENLink with technology—still in progressGuidance and application still in progress
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Why?
DRI Observations DRI Mesoscale Modeling UNLV Microscale •To provide “real” statistics of winds at existing stations•To provide new information at elevated
•Measurements—limited coverage (but needs model-evaluated results)•Planning—needs full spatial
Modeling•Physical interpolation taking into account high-resolution topographyinformation at elevated
heights (towers, sodar)•Planning—needs full spatial coverage•Measurements—limited height—interest is on first 100
resolution topography (needs to be evaluated)•Resolution on the order of 20m x 20m x 10m
m or so•Measurements-sodars—question of reliability
•To merge feasibility of access utilities
NREL DISGENLink with technology
of access, utilities, needs, and wind power density
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Advising roleGuidance and application
Link with technology—still in progress
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Site at northern end of Big Smoky Valley
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Tower at theNorth end of BigSmoky ValleySmoky Valley -Installed 3Dec03
RoW authorized24 Oct 2003
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Wind Energy I Model setup IGrid dimensions:D01: 120 x 95 x 39D02: 118 x 85 x 39D02: 118 x 85 x 39
Physics options used:Moisture: Mix phasepCumulus: GrellBoundary layer: MRFRadiation: Cloud
Period:1 Sep 2001-31 Aug 2002
S t f th MM5 d li d i ith h i t l
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Setup of the MM5 modeling domains with horizontal resolutions of 9 km (D01) and 3 km (D02) and 39 full-sigma levels in vertical (first half-sigma level at 0.9985).
Model vs. observations Phase I
Full annual cycle
Comparison of modeled and measured U and Vand measured U and V wind components and wind speed for the Sepwind speed for the Sep 2001 – Aug 2002 period
Brawley Peaks, NV, 38°15’40”N 118°52’49”W38 15 40 N, 118 52 49 W
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MM5 - Wind Power Density (W/m2) Domain 1(W/m2) – Domain 1
90m
10m
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Annual WS frequency - D1 - 90m
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2 Wind energy assessment study for Nevada and the Southwest:
DRI, UNLV, UNR? /DisGen/2. Wind energy assessment study for Nevada and the Southwest:
Improved estimates of wind energy potential
DRI – Site evaluation and installment of 4 meteorological towers, RAWS stations data
DRI – Mesoscale modeling (evaluation, wind density potential estimates)2003 2004 MM5 Wind power density for entire Nevada (2km resolution2003-2004 MM5 – Wind power density for entire Nevada (2km resolution –NREL suggestion); wind speed frequency; model evaluation (surface, 50m); Four Dimensional Data Assimilation; statistical parameters; Weibull distribution for measurements and model
UNLV – Refining mesoscale modeling using an adaptive grid model
G lIntegrated information (access, utility, power lines, need)
NREL – Advising role – guidance and applications
Goal: Optimum microlocation f i d f
Integrated information (access, utility, power lines, need)
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for wind farms
DisGen – Link to technology – still in progress – possible UNR involvement
Wind Energy II 2 Domain SetupWind Energy II 2 Domain Setup
Domain 1: 10km horizontal resolution
180x180x30 grid points
Domain 2: 2km horizontal resolutionhorizontal resolution
301x401x30 grid points
Period:
1 Aug 2003 – 31
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1 Aug 2003 31 Jul 2004
Wind speed Wind direction
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• Comparison of U, V, and WS b t th d l dbetween the model and measurements.
•Lunig 5 meteorological tower.g g
• Height: 50m.
• Time: October 2003
Phase II Oct 2003
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Phase II – Oct 2003
WE2-D2-Mean Wind Power Density, October 2003 at 94mOctober 2003, at 94m
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Wind direction histograms
Brawley Peaks, NV
August 2003
Observed upper panelObserved – upper panel
Modeled – lower panel
Model reproduced well topographic channeling
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c a e g
How to provide theoretical distributions of wind speed that are verified by measurements?
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M. Liddle
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Project 3 DRI, UNR (?)
3. Tall wind tower deploymentDRI – Find two tall towers (100m+) of opportunity and instrument them at three levels with standard and sonic anemometers.
DRI – Turbulence statistics (spatial and temporal variability), vertical change, long-term turbulence statistics (monthly, seasonal, annual, andchange, long term turbulence statistics (monthly, seasonal, annual, and multi-annual cycles) evaluation of turbulence schemes and elevated winds in mesoscale modeling, errors and uncertainties in the surface and elevated turbulence estimation and predictions.p
UNR – Wind turbine design, technology, and applications
NREL – Advising role – guidance and applications
UNR ?
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