Wind Energy Modeling Bootcamp: Hands-on Python
What you'll learn
- 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
- No Requirement
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
Who this course is for:
- Mechanical, Electrical and Chemical Engineers
- Students who wants to use Python for their research projects
- Researchers in Renewable Energy area
- Anybody which is interested in wind energy and wind turbine modeling
- A beginner in wind energy and python which want to learn both!
Welcome! I'm Navid Shirzaid, and I'm thrilled that you've taken the time to visit my profile.
As a research scientist, I hold a doctoral degree in engineering and boast over seven years of invaluable experience in the fascinating realm of controlling integrated energy systems. My expertise lies in employing mathematical optimization strategies to tackle complex challenges within this field.
I am well-versed in Python programming and proficient in developing cutting-edge machine learning and deep learning models for various applications. My contributions to the field have been recognized through numerous publications centered around the design and implementation of intelligent control strategies for energy systems, utilizing the power of machine learning, deep learning, and artificial intelligence.
In essence, my passion lies in the realm of Data Science and Machine Learning, and I find immense satisfaction in applying optimization techniques to solve real-world problems. I genuinely look forward to sharing my knowledge and experiences with you!