Description

Wind Energy Modeling Bootcamp Course: Hands-on Python. Wind is one of the most well-known renewable energy sources in the world. There are many tutorials on wind energy modeling and wind turbines, but many of them lack a clear path and confuse students. Therefore, I have designed this course with the aim of teaching the complex concepts of wind energy in simple language, as well as learning how to develop a model of a wind turbine or wind farm for any location, anywhere in the world! Since this course is designed for all levels (beginner to advanced), we will start all concepts from scratch and code each model together in Python. Each line of code will be explained carefully.

What you will learn

• Basic concepts of wind energy
• Basic principles of wind turbine
• The basics of coding with Python
• How to formulate the wind turbine model
• Writing Python code to calculate the power output of a small wind turbine
• How to download wind speed and other related data from the internet for any location
• Development of a practical model for the power output of a wind turbine
• The concept of wind power plant and how to develop a wind power plant model with Python
• How to visualize the results

Who is this course suitable for?

• Mechanical, electrical and chemical engineers
• Students who want to use Python for their research projects.
• Researchers in the field of renewable energy
• Anyone interested in modeling wind energy and wind turbines.
• Beginners in wind energy and Python who want to learn both.

Details of the Wind Energy Modeling Bootcamp: Hands-on Python course

• Publisher:  Udemy
• Instructor: Navid Shirzadi
• Training level: beginner to advanced
• Training duration: 5 hours and 57 minutes
• Number of courses: 40

Course headings

Wind Energy Modeling Bootcamp course prerequisites: Hands-on Python

• No Requirement

Course images

Sample video of the course

download link

Download part 1 – 1 GB

Download part 2 – 701 MB

File(s) password: www.downloadly.ir

Size

1.7 GB