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Extreme Wind

Extreme wind estimation

Secure structural integrity

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WindSim is the expert of extreme wind assessment. WindSim has assessed over 500 solar parks and wind farms in the past three years, for over 50GW installed capacity.

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WindSim delivers accurate wind conditions for areas of interest by transferring regional reference wind conditions to the relevant area through WindSim’s advanced computational fluid dynamics-based flow modelling software. These simulations account for terrain effects such as roughness, elevation and structures to provide accurate basic extreme wind conditions and 3-second wind gust predictions.

  1. For solar park or building in the non-hurricane region, our assessment complies with ASCE, Minimum Design Loads for Buildings and Other Structures and Eurocode 1: Actions on structures - Part 1-4: General actions - Wind actions.
  2. For solar park or building in the hurricane region, our assessment complies with ASCE, Minimum Design Loads for Buildings and Other Structures, where the historical hurricanes with more than 6000 tropical cyclones, ranging from 1842 are applied.
  3. For wind farm development in the non-tropical-cyclones region, our assessment complies with IEC61400-1:2019, typically Measure-correlate-predict (MCP) is involved.
  4. For wind farm development in the tropical-cyclones region, our assessment complies with IEC61400-1:2019, typically Monte Carlo simulation method is applied.

Extreme wind conditions are specified in national building codes that specify conditions for determining natural wind effects on structural designs. Wind conditions data are limited in developing countries and thus not specified in the national building code. The lack of this data increases risk in the solar industry as it is used to determine wind effects on solar panels and supporting structures.

In developed countries accurate local extreme wind conditions is an advantage as the national building code is often conservative resulting in increased project CAPEX. The accurate classification of local wind conditions also reduces risks by identifying areas with a high risk of wind damage to panels and structures.