WAsP Software for Wind Resource Assessment and Energy Yield Prediction

WAsP: Advanced Wind Atlas Analysis and Application Program

Predicting the viability of a wind energy project requires precision and a deep understanding of local atmospheric conditions. WAsP (Wind Atlas Analysis and Application Program) is a specialized Windows-based software designed to predict wind climates, assess wind resources, and calculate the potential energy yields for individual wind turbines and entire wind farms. By providing accurate data, WAsP helps developers identify the most productive locations for wind farm development.

How WAsP Predicts Wind Resources

The software generates its predictions by analyzing wind data collected from meteorological stations within the same region. Alternatively, it can utilize generalized wind climates derived from mesoscale model results—large-scale atmospheric models that simulate weather patterns over broad areas.

To ensure high accuracy, WAsP integrates several sophisticated models to account for environmental variables:

  • Complex Terrain Flow Model: Analyzes how wind moves over varied landscapes.
  • Roughness Change Model: Accounts for how different ground surfaces (e.g., forests vs. open fields) affect wind speed.
  • Sheltering Obstacles Model: Calculates the impact of structures or natural barriers that block wind.
  • Wind Turbine Wake Model: Predicts the reduction in wind speed behind a turbine, which affects downstream turbines.
  • Atmospheric Stability Model: Evaluates the average stability of the atmosphere at the specific site.
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Software Components and Development

WAsP is more than a single calculator; it is a comprehensive suite of tools. The package includes a Climate Analyst for preparing wind-climatological inputs, a Map Editor for creating and refining topographical data, and a Turbine Editor for defining the specific characteristics of the wind turbines being analyzed.

The software is developed and distributed by DTU Wind and Energy Systems at the Technical University of Denmark. The methodology underpinning the program is detailed in the European Wind Atlas. As of the current release, the software is available as version 12.7.

Key Facts

  • Developer: DTU Wind and Energy Systems (Technical University of Denmark).
  • Current Version: WAsP 12.7.
  • Primary Use: Predicting wind climates and energy yields for wind farms.
  • Global Application: A specialized version of WAsP was used to create the Global Wind Atlas with a 250 m resolution.
  • Core Methodology: Based on the European Wind Atlas standards.

WAsP Applications and Capabilities

The versatility of WAsP allows it to be used across various stages of wind energy planning. From initial site assessment to final production estimates, its applications include:

Common Applications of WAsP Software
Category Specific Application
Planning Wind resource mapping and wind climate estimation
Optimization Micro-siting of wind turbines and wind farm efficiency analysis
Analysis Wind data analysis and wind atlas generation
Production Power production calculations and wind farm production estimates

Frequently Asked Questions

What is the primary purpose of WAsP?

WAsP is used to predict wind climates and resources to determine the best locations for wind farms and to estimate the energy yield of wind turbines.

Who developed the WAsP software?

The software was developed and is distributed by DTU Wind and Energy Systems at the Technical University of Denmark.

What data does WAsP use for its predictions?

It uses wind data measured at regional meteorological stations or generalized wind climates derived from mesoscale model results.

What is micro-siting in the context of WAsP?

Micro-siting is the process of determining the exact optimal location for each individual wind turbine within a wind farm to maximize efficiency and energy production.

How is WAsP related to the Global Wind Atlas?

A special implementation of the WAsP software was utilized to map the wind climate of the entire world at a resolution of 250 meters for the Global Wind Atlas.