Optimize layouts and turbine positions to minimize the cost of energy, taking into account energy production, operations and maintenance costs and capital costs including turbine and plant development costs. Understand the impact each turbine has on the bottom line. Arrive at the best layout by taking into account:

• Access road costs
• Collector system costs
• Waterways, pipelines, fence lines, wetlands and more
• Substation and grid connection locations
• Electrical losses
• Power purchase agreement length
• Operations and management costs
• Wind resource and wake losses

• Model environmental and directional curtailments
• Accounts for measurement uncertainty, MCP uncertainty and modelling uncertainty
• Assign turbines to met masts, adjust Wind Resource Grids (WRGs) and run energy estimates
• Let the software suggest additional sites for met masts to extend the monitoring campaign and minimize project uncertainty

• Analyze multiple turbine layout options for cost effectiveness including different hub heights and turbine types

• Quickly create and modify gridded turbine layouts using the user-friendly GIS interface
• Design by hand using intuitive graphical tools
• Allow optimizer to determine downwind and crossing spacing, grid orientation and obliquity

Leading-edge wake models consider the dynamic interactions between turbines and atmospheric boundary layer as well as allowing wakes to vary with turbulence intensity and stability. Openwind offers users five different customizable wake models to choose from including:

• Modified Park
• N. O. Jensen (variety of wake combination schemes)
• Eddy Viscosity
• Deep Array Wake Models (Park and Eddy Viscosity versions)

(12x24s, annual or long-term time series at hourly or 10 minute intervals)

• Run energy capture calculations that take into account time-varying temperature, air density, and turbulence intensity
• Model realistic availability using Markov chain models, which can vary with season
• Model high wind hysteresis, low- and high-temperature shutdown losses
• Diurnally varying wake losses
• Icing losses based on met data
• Parasitic consumption, blade heating and electrical losses
• Effects of bat curtailment and NRO modes
• Output results for entire project or individual turbines

Model effects of directional curtailment by specifying curtailment strategy in detail or by setting criteria for automatic sector management.

Use multi-height met mast data to assess the effects of non-standard shear using the rotor equivalent wind speed and adjust power curves for different ranges of turbulence intensity.

• Noise Modeling: ISO 9613-2, Harmonoise
• CNOSSOS-EU (NMPB 2008)
• Vary atmospheric attenuation based on ISO 9613-1
• Automatically generate NRO strategies based on noise constraints
• Turbine Scheduling (Noise, Bat, Shadow-Flicker, Curtailments)
• Visual Impact Modeling (variety of ZVI measurements)
• Shadow Flicker: Take account of wind time-series data, Take account of sunshine hours

Effective turbulence intensity and terrain complexity

• Implements IEC 61400-1 editions 2, 3, 3 amendment 1 and draft edition 4
• Allows customization of those elements open to interpretation
• Facilitates easy comparison of turbines to their appropriate IEC curve or custom curves
• Automatically generate wind sector management strategy to meet IEC requirement
• Optimize layouts while taking account of likely wind sector management losses
• Set suitability limits for turbine layouts based on the appropriate IEC standard

• Validated energy capture
• Comprehensive import/export capabilities