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Introduction of Wind Power - Weibull Distribution, Height Dependence of Wind Velocity, European Wind Atlas

Introduction of Wind Power - Weibull Distribution, Height Dependence of Wind Velocity, European Wind Atlas

10 Enrollments Level : Intermediate

Relevance

Understanding wind behaviour is crucial for optimizing wind energy generation. This building block covers key aspects of wind speed variability and the importance of statistical distributions in wind energy assessment. The Weibull distribution is a widely used model for representing wind speed frequencies, while the logarithmic height formula and Hellmann’s law help in determining wind speed variations with height. The European Wind Atlas provides an essential reference for assessing wind potential across different terrains, facilitating wind turbine site selection and energy yield predictions.

Abstract

This building block explores the principles governing wind power analysis, focusing on wind speed distribution, height dependence, and regional wind assessment. The Weibull distribution is introduced as a statistical model for predicting wind speeds, highlighting the significance of the shape parameter (k) and scaling factor (A) in estimating energy potential. The building block also discusses the effects of surface roughness and obstacles on wind velocity, emphasizing the importance of turbulence and height-dependent wind profiles. Additionally, the European Wind Atlas methodology is examined, demonstrating how localized wind conditions are derived from regional datasets to optimize wind turbine placement and performance.

Learning Outcomes

1. Understand the Weibull distribution and its role in wind energy analysis.

2. Calculate wind speed variations using the logarithmic height formula and Hellmann’s law.

3. Analyse the impact of roughness length on wind profiles and turbine efficiency.

4. Interpret wind data from the European Wind Atlas and apply it to site assessments.

5. Predict wind turbine performance based on Weibull parameters and wind speed distributions.

Prior Knowledge

  1.  Probability distributions and statistical analysis.

  2. Basic Physics of fluid dynamics and atmospheric motion.

  3. Fundamental concepts of renewable energy and wind power.

  4. Algebra and calculus for energy calculations.

Keywords

Elements

1. About this Building Block

Descriptors

Description of the Building Block.

BB descriptor_Wind_Introduction of Wind Power - Weibull Distribution, Height Dependence of Wind Velocity, European Wind Atlas.pdf

2. Video and knowledge clips

Interactive Lecture Video

This is an interactive lecture video that combines spoken explanations with presentation slides to deliver the core content. Throughout the video, learners will encounter embedded self-assessment questions designed to check understanding of key concepts. These interactive elements make the video more engaging and help reinforce learning through immediate feedback.

Link to access the interactive lecture video:

https://ilu.th-koeln.de/goto.php?target=crs_499331&client_id=thkilu

BB2_Video.mp4

3. Reader

Reader

This is the readable paper or comprehensive textual content of the lecture.

BB2_Wind_Introduction of Wind Power - Weibull Distribution, Height Dependence of Wind Velocity, European Wind Atlas.pdf

4. Podcasts

Podcast

An audio conversation designed to make learning engaging through informal discussion and interesting facts. It supports experimental learning and supplements the core material.

Link:

https://open.spotify.com/episode/0Os64xf19DWNhvWCkNgvby?si=HGJrK0VESSillhLgeOv9Vg

BB2 Podcast Link.pdf

5. Presentations

PPT

The presentation slides used during the lecture video. These provide visual summaries and key points but do not contain the full explanation.

Wind Physics Part 2.pdf

6. New References

References

The academic and scientific sources used to build the content of the reader and other elements.

Reference.pdf

7. Self-assessments

Self-assesments

BB2_self-assessment.pdf

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