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Wind Energy Modeling Bootcamp

Hands-on Python

Navid Shirzadi, Ph.D.

Wind Energy is one of the most famous renewable resources in the world. There are lots of tutorials out there regarding Wind Energy and Wind Turbines Modeling, however, most of them are not following a clear path, and they will confuse the students. Therefore, I decided to create this course to not only show you all the complicated terms and concepts about wind energy in simple terms but also teach you how to develop a wind turbine or a wind farm model for any location in any part of the world. Amazing right?

In this course, you will learn:

-The concepts of wind energy

-The basics of wind turbine

Read more

Wind Energy is one of the most famous renewable resources in the world. There are lots of tutorials out there regarding Wind Energy and Wind Turbines Modeling, however, most of them are not following a clear path, and they will confuse the students. Therefore, I decided to create this course to not only show you all the complicated terms and concepts about wind energy in simple terms but also teach you how to develop a wind turbine or a wind farm model for any location in any part of the world. Amazing right?

In this course, you will learn:

-The concepts of wind energy

-The basics of wind turbine

-Some basics about coding in Python

-How to formulate a wind turbine model

-How to write a python code to calculate the power output of a small-scale wind turbine

-How to download wind speed and other related data from the Internet for any location

-How to develop a practical model for single wind turbine power output

-What is Wind Farm and how to develop a wind farm model in Python

-How to visualize the results

Since this course is designed for all levels (from beginner to advanced), we start from the beginning, we start every concept from the beginning, and code each model together in Python. Each line of code will be explained carefully.

One thing that makes this course different from other courses is, by enrolling in this course, you don't need any prerequisites since I even created even a complete tutorial to teach you the basics of the Python programming language that you need for this course before we start coding. Moreover, we don't use ready codes, and together we get our hands dirty during the course to write all the codes.

This course is designed in a way to make you from zero to hero and after taking this course, you will be able to:

  • `Download, visualize, and analyze the wind speed data for any location in the world.

  • Visualize the power curve of the downloaded data

  •   Create a wind turbine model considering all the real-life parameters

  • Creating a practical wind farm model

Enroll now

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What's inside

Learning objectives

  • Basic concepts of regarding wind energy and wind turbine
  • Wind power curve and power coefficient assessment
  • Wind distribution
  • How to model a single wind turbine using python
  • What is wind farm and how to model a cluster of wind turbines using python
  • Visualization and analyzing the results

Syllabus

Introduction
Course Content
What is Wind?
Wind Energy and Introduction to Wind Turbines
Read more
Wind Turbine Types
Wind Farm Definition

Now let's evaluate your knowledge based on what you learned in this section! Are you ready?

A Single Wind Turbine Power Output
Wind Power Formula
Betz Law
Power Curve and Power Coefficient
Wind Speed Data
Note!
Why Google Colab?
Google Colab Environment
Code Resource
Important Note!
Creating a Simple Single Turbine Model - Part1
Creating a Simple Single Turbine Model - Part2
Power Curve Visualization

Are you ready to test what you learned in this section? Let's start...

Wind Distribution Function
Introduction to Weibull Distribution
Weibull Distribution in Python
Visualization

Let's test our knowledge about wind distribution function now...

Wind Turbine Modeling - Single Wind Turbine
Temperature/Density Sub-Models
Wind Speed Model
Modeling Single Wind Turbine in Python - Part1
Modeling Single Wind Turbine in Python - Part2
Wind Farm Modeling
Wind Farm Modeling In Python - Part1
Wind Farm Modeling in Python - Part 2
Basics of Python
Variables and Methods
Math Operators
Assignment Operators
Comparison Operators
Logical Operators
Conditional Statement
Loop
List
Dictionary
Tuple
for loop
Range Function
Bonus!
Bonus Lecture

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Wind Energy Modeling Bootcamp: Hands-on Python with these activities:
Review Python Fundamentals
Solidify your understanding of Python fundamentals to better grasp the wind turbine modeling code.
Browse courses on Python Basics
Show steps
  • Review basic Python syntax and data structures.
  • Practice writing simple Python scripts.
  • Complete online Python tutorials or exercises.
Review 'Wind Energy Explained: Theory, Design and Application'
Gain a deeper understanding of wind energy theory and practical applications to enhance your modeling skills.
View Wind Energy Explained: On Land and Offshore on Amazon
Show steps
  • Read the chapters on wind turbine aerodynamics and power generation.
  • Study the sections on wind resource assessment and site selection.
  • Take notes on key concepts and formulas.
Practice Python Coding for Data Analysis
Sharpen your Python coding skills for data analysis, which is crucial for wind turbine modeling.
Show steps
  • Solve coding challenges related to data manipulation and visualization using libraries like Pandas and Matplotlib.
  • Work through online coding exercises focused on statistical analysis and data processing.
  • Implement data analysis techniques on sample wind speed datasets.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Develop a Simple Wind Turbine Power Curve Simulator
Apply your knowledge by building a simulator that calculates the power output of a wind turbine based on wind speed.
Show steps
  • Define the input parameters for the simulator (wind speed, turbine characteristics).
  • Implement the power curve equation in Python.
  • Create a user interface to input wind speed data and display the power output.
  • Test the simulator with different wind turbine models.
Create a Blog Post on Wind Farm Optimization Techniques
Deepen your understanding of wind farm modeling by researching and writing about optimization techniques.
Show steps
  • Research different wind farm optimization techniques (layout optimization, control strategies).
  • Write a blog post explaining the principles and benefits of each technique.
  • Include diagrams and examples to illustrate the concepts.
  • Publish the blog post on a relevant platform (e.g., Medium, personal website).
Review 'Renewable Energy Resources'
Broaden your knowledge of renewable energy sources and their role in the energy transition.
View Renewable Energy Resources on Amazon
Show steps
  • Read the chapters on wind energy and other renewable energy sources.
  • Compare and contrast the different renewable energy technologies.
  • Analyze the economic and environmental impacts of renewable energy.
Contribute to an Open-Source Wind Energy Modeling Project
Enhance your skills by contributing to a real-world wind energy modeling project.
Show steps
  • Find an open-source wind energy modeling project on platforms like GitHub.
  • Review the project's documentation and code.
  • Identify areas where you can contribute (bug fixes, new features, documentation).
  • Submit your contributions to the project.

Career center

Learners who complete Wind Energy Modeling Bootcamp: Hands-on Python will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Wind Energy Modeling Bootcamp: Hands-on Python.
Cover image
Renewable Energy Resources
Save
Offers a broad overview of various renewable energy resources, including wind energy. It provides a solid understanding of the context in which wind energy fits within the larger renewable energy landscape. While it doesn't delve as deeply into wind energy modeling as some other books, it provides valuable background information on the economic, environmental, and social aspects of renewable energy. This book is more valuable as additional reading than as a current reference.
Renewable Energy Resources
Paperback
Check
Renewable Energy Resources
Kindle Edition
Check
Cover image
Wind Energy Explained
Save
Provides a comprehensive overview of wind energy principles, wind turbine design, and applications. It valuable resource for understanding the theoretical background behind wind turbine modeling. It is particularly helpful for understanding the practical considerations involved in wind turbine design and operation, adding breadth to the course. This book is commonly used as a textbook in wind energy courses.
Wind Energy Explained: On Land and Offshore
Hardcover
$$$$
Wind Energy Explained: On Land and Offshore
Kindle Edition
$$$$

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Effort
6 total hours
Via
Udemy
Instructor
Navid Shirzadi, Ph.D.
Language
English
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