continuum wind flow model booklet

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  • 8/10/2019 Continuum Wind Flow Model Booklet

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    Wind Flow Model

    Intuitive.Accurate.

    Affordable.

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    Wind Flow Model

    All met sites used simutaneously to form site-calibrated models

    The only commercially available wind flow model that is capable of usingmore than one met site.

    Only two required inputs Topo XYZ data and Met TAB files.

    No expert knowledge required The site-calibration is automatically started when the TAB files are

    imported.

    All model parameters and results are exportable to .CSV Not ablack boxsoftware

    Generates estimates of wind speed and gross AEPat turbinesites or map nodes.

    Can specift any area or grid resolution for map generation. No limit on number of turbine power cuves.

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    ...At A GlancePerforms a Round Robinanalysiswhere subsets ofmet sites are used toestimate the wind speed atexcluded met sites.

    Every subset combination of

    met sites are found using N-1,

    N-2 and N-3 met sites and

    models are created for each

    combination Determines how the estimate

    uncertainty changes as mets are

    added

    Tests the robustness of the

    model

    Analyzes met data and

    generates model in minutes Quick to provide turbine

    estimates and wind speed maps

    Forms uncertainty estimatesand produces P90/P99estima

    of wind speed and AEP Only commercially available wind flow model that generates unce

    tainty estimates.

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    Theory & ApplicationContinuum In a Nutshell

    Continuum (patent pending) is an exposure-based wind

    flow model that utilizes all available met sites

    simultaneously to generate four site-calibrated models.

    Each model has a different radius of investigation (used to

    calculate the exposure) which range from 4000 to 10,000

    m. The four site-calibrated models are used to form

    estimates of the wind speed and gross annual energy

    production (AEP) at the turbine sites and/or at map nodes.

    Between each pair of met sites and from each met site to

    every turbine site and/or map node, a path of nodes is

    created where there is a small change in the exposure and

    elevation from one node to the next. Based on the wind

    direction and the terrain complexity at each node, the

    model coefficients are determined from the model

    relationships and the wind speed is calculated along thepath of nodes as the upwind and downwind exposure

    changes from the met site to the turbine or map node.

    What is exposure?

    Exposure is defined as a weighted average of

    the elevation difference between a given point

    and the surrounding terrain within a given

    radius of investigation weighted by the inverse

    distance.

    How is wind speed estimated?

    Continuum uses a two-parameter linear relations

    that describes the change in wind speed with ch

    in the upwind and downwind terrain. There are

    coefficients, m and m , which describe the senDW UW

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    What do the model coefficients represent?

    The model coefficients describe how sensitive the

    wind speed is to changes in the upwind or downwind

    terrain exposure.

    As derived from Navier-

    Stokes conservation of

    momentum equation, if

    wind is flowing downhill,the model coefficient is:

    CRIT

    CRIT

    If wind is flowing uphill,

    the model coefficient is:

    If UWUW then and the wind

    decelerates.

    Model coefficients are a function of gravity, g, and the

    vertical pressure gradient force ( ) which is related to

    atmospheric stability. They are also a function of the

    velocity flow field which is related to terrain

    complexity. They are defined in log-log relationshipas a function of P10 Exposurewhich is a measure of

    terrain complexityand site-calibrated log-log

    relationships are found for each wind direction sector.

    of the wind speed to changes in the downwind (DW) and

    upwind (UW) exposure.

    If the wind speed is known at Site 1 then the wind speed

    at Site 2 can be estimated by analyzing the differences in

    the UW and DW terrain from Site 1 to Site 2 in each wind

    direction sector.

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    Why is a path of nodes created?

    Since theterrain complexity can vary across a project

    area and since the model coefficientsare a function of

    terrain complexity, the wind speeds are calculated in a

    stepwise fashion.

    Between each pair of met sitesand from each met site to

    every turbine or map node, a path of nodes with a gradual

    change in terrain complexityis found. The model

    coefficients are determined at each node based on the

    site-calibrated log-log relationships and the wind speed is

    calculated along the path of nodes.

    How are the models site-calibrated?Once the met sites are imported, Continuum finds a path of

    nodes between each pair of met sitesand cross-predicts

    the wind speedusing the default log-log relationships.

    Then using a self-learning algorithm, the log-log

    relationships are varied and the met cross-predictions are

    regenerated. The log-log relationships that yield the

    minimum met cross- prediction errorare found and these

    form the site-calibrated model.

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    Case Study: Five Met Sites at Moderately

    Complex Site in North Dakota

    The topo data and met TAB files were entered

    into Continuum and the four site-calibratedmodels were found. The met site cross-prediction

    error is summarized in the table to the right.

    The wind speed at each met site was estimated

    using the Continuum model and the comparison

    between the actual and estimated wind speed are

    shown in the two plots below. The RMS error of

    the wind speed estimate was 0.026 m/s (or

    0.31%).

    Site - Calibrated Model Results

    Radius of

    Investigation,m

    Met Cross -

    Prediction RMSError

    4000 0.64%

    6000 0.47%

    8000 0.57%

    10000 0.37%

    ~50 km

    Validation

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    To test the robustnessof the model, the Round Robin analysiswas run

    where subsets of the met sites are used to form a model and predict the

    wind speed at the excluded met sites. The results are shown in the plots to

    the right.

    When two mets were used, the RMS error of the wind speed estimates was

    0.107 m/s (or 1.21%). As more mets were added to the model, the wind speed

    estimate error reduced and, with four mets used in the model, the RMS error

    of the estimates dropped to 0.043 m/s (or 0.49%).

    Num Mets

    RMS

    Error, m/s

    RMS

    Error, %

    2 0.107 1.21%

    3 0.071 0.80%

    4 0.043 0.49%

    5 0.026 0.31%

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    Whats new in 1.1?Uses local SQLdatabase to store calculated values

    Keeps file size small and manageableeven with several large, high-res wind speed or AEP maps

    Continuously savesto database as WS or AEP map is generated If Windows reboots or Continuum is accidentally closed, all calculations are safe and retrieved from the database

    when the map generation is restarted.

    Searches stored data for previously calculated data to help speed up map generation.

    Generates site-calibratedmodels on a sectorwise-basis

    Model coefficients vary as a

    function of wind direction to bettermodel sectorwise variations in

    mean atmospheric stability

    Accepts and exports eitherUTM coordinates orLat/Long in TAB files andturbine imports/exports

    Accepts any topo dataresolution

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    Pricing & Contac

    $US 4000 for a single user license and one-year of free customer support.

    $US 500 annual fee for customer support after first year

    Contact:

    Liz Walls, Co-Founder, Engineering | [email protected]

    Email Liz for a free 5-day trial (5 unique days) of Continu

    Visit our website at www.cancalia.com