Windfarm Mac OS

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Mac

Sarah Herman
WindFarmer Specialist
GL Garrad Hassan
Austin, Texas
www.gl-garradhassan.com

Wind-farm designs and energy assessments are complex processes that vary greatly depending upon the constraints and challenges of each site. Stakeholders such as developers, utilities, and financiers must technically evaluate a project to determine its profitability and feasibility. Software that can model the performance of all types of farms is essential in the wind industry. Some key features and models needed in such wind-farm design software are highlighted here, using the latest WindFarmer 4.2 software developed by GL Garrad Hassan as a platform for discussion. A number of features in the software come from years of development and hence deserve attention. For example:

The graphic user interface on WindFarmer software shows a few selections and results for a large proposed layout. Panels on the left show selections and those on the right, calculations. The graph inset describes a turbulence model.

Energy calculations: Energy-production values calculated for a wind farm require several inputs to properly evaluate a site’s estimated energy generation. The topography for a wind farm and its site boundaries can be loaded into the software as ESRI shape files. The wind flow should be characterized from on-location measurements and extrapolated to the rest of the site. Its historical air density must also be evaluated.

Efficiencies and loss factors specific to the site should be understood, and a turbine layout and power curve must be selected. Once this basic site information is entered, the type of analysis method chosen to calculate energy depends on the characteristics of the wind farm being assessed.

A wind farm’s energy production greatly depends on the wake effects from upwind turbines. Hence, an accurate wake model is key to an accurate estimate. WindFarmer software has several wake models that can consider specific challenges found in the broad range of wind farms in development and operation.

Wind-farm wake modeling: The Eddy Viscosity Wake Model is a CFD model developed, refined, and validated using operational wind-farm data for many years. The model provides a successful wake-modeling algorithm for a wide variety of common situations. The software also includes several modifications to this base model for wind farms that fall outside a normal operational envelope of the model. With these adjustments, the exceptional characteristics of regions with such observed wind regimes can be taken into account.

Wakes in complex terrain: Environmental parameters such as air density and turbulence levels as well as development of the wake are a function of the underlying topography. Based on the turbine’s position in the terrain, the software adjusts turbine-wake development and the energy calculated.

The inset image suggests how the wind farm will appear from ground level.

Closely spaced wind farm layouts: A closely spaced wake model allows completing wake modeling on wind farms that are built for one or two-directional wind regimes. This type of wind farm has unique challenges. Such regimes lend themselves to turbine layouts that are positioned close together in one direction to maximize electricity generation per given area. Turbine wakes in such a layout do not propagate independently, and so must be modeled differently. The software’s Eddy Viscosity Model for Closely Spaced Turbines effectively models wakes propagated for this type of wind farm by altering the classic Eddy Viscosity model and letting velocity deficits caused by the wake effects add cumulatively.

Large wind-farm model: As the wind industry has developed, the size of wind farms has increased on and offshore to include some that are greater than 100 MW in size and many rows deep. A Large Wind Farm Wake Model simulates increased wakes generated by large wind farms. The model works by considering several characteristics specific to large wind farms, the most important being alterations to the boundary layer caused by the presence of many turbines extracting momentum from the atmosphere. As a result, the wind profile varies across the farm, an effect analogous to an increase in surface roughness length. Within WindFarmer, this technical and crucial feature is engaged with a check box where the software performs all analysis of upstream turbines to derive added wake losses due to the large wind-farm wake effect. The Large Wind Farm Wake Model has been tested and validated with operating offshore and onshore data. Furthermore, the speed of the energy yield calculation – typically 10 to 15 minutes for a 100-turbine array – lets wind farm designers explore many different layout options within a reasonable timeframe.

Data from site assessments display in WindFarmer showing an inset wind rose of wind speed and directional probability along with a contour map of color coded wind-energy levels.

Uncertainty analysis: Once a site’s estimated energy production calculations complete, the uncertainty associated with the results must be quantified. Uncertainty calculations are essential to quantify and assess the asset’s viability and profitability to raise project financing. As such, the software includes uncertainty analyses into its results to evaluate the many sources of uncertainty present within the development process, such as data collection sensors, topographic modeling, and yearly variations of the on-site wind regime. These uncertainties derive the relevant exceedance levels so stress cases can run and debt-service coverage ratios converted into currency for pro forma preparations.

Efficient wind farm design: Software for designing wind farms offer a range of tools to support the engineer designing a productive wind farm. These tools include aids for automatic generation of both random and symmetric layouts with high-energy yield. Using the advanced tools to design a wind farm can help mitigate project deficiencies found later in the detailed energy assessment. As wind farms become larger and more complex, scientific research is increasing understanding of how wakes behave within such a complex environment. Software such as WindFarmer is essential to leverage this knowledge and produce reliable estimates of electrical-power production.

WPE

Home > Environmental Studies > Atlas of Maine > Vol. 2012 > No. 2 (2012)

Windfarm Mac Os Catalina

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Wind energy has become a rapidly growing source of renewable electricity; world generating capacity is growing at 20-30% per year (IEA, 2008). Wind offers a fantastic opportunity for clean energy generation in Maine, and will support local community economies. However, the turbines that produce this clean energy typically stand over 250 feet tall and can be seen on their mountaintop perches for miles. Many consider them to be visually intrusive and fight to stop wind farm projects in their planning stages (Curtis, 2011). Maine has numerous wind farms already in operation, with many more in the planning and proposal stages (NRCM, 2012b). Private wind energy company Iberdrola Renewables, LLC has proposed to construct a 60-80MW wind farm on Fletcher Mountain in the Lexington Township and Somerset County area (NRCM, 2012a). Another company, Eolian Renewable Energy, LLC, has proposed a 10-18MW wind farm on Mt. Waldo in Frankfort, Maine (Waldo Community Wind, 2012). We set out to answer, how much land would be visually impacted by the construction of these two proposed wind farms?

About the Author

Michael Stephens is a Biology and Environmental Science double major with a concentration in Marine Biology. At Colby he is President of the Sportsmen’s Club and is a COOT leader. Michael is from Atlanta, Georgia.

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Colin Cummings (’14) is an Environmental Policy major from Ashburn, Virginia. Colin is also a member of the Colby College Baseball team.

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Stephens, Michael and Cummings, Colin'Viewshed Analysis of Proposed Wind Farms in Maine,'Atlas of Maine:Vol. 2012: No. 2, Article 1.
Available at: https://digitalcommons.colby.edu/atlas_docs/vol2012/iss2/1

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