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Wind Energy Modeling Bootcamp: Hands-on Python

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Navid Shirzadi

5:56:20

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  • 1 - Section 1 Quiz Time.html
  • 2 - What is Wind.mp4
    03:27
  • 3 - Wind Energy and Introduction to Wind Turbines.mp4
    09:37
  • 4 - Wind Turbine Types.mp4
    06:58
  • 5 - Wind Farm Definition.mp4
    04:54
  • 2 - Section 2 Quiz Time.html
  • 6 - Wind Power Formula.mp4
    02:53
  • 7 - Betz Law.mp4
    05:55
  • 8 - Power Curve and Power Coefficient.mp4
    10:49
  • 9 - Wind Speed Data.mp4
    09:56
  • 10 - Note.html
  • 11 - Why Google Colab.mp4
    01:19
  • 12 - Google Colab Environment.mp4
    09:10
  • 13 - Code Resource.html
  • 13 - Source-Codes.zip
  • 14 - Important Note.html
  • 15 - Creating a Simple Single Turbine Model Part1.mp4
    29:14
  • 15 - Wind-Speed.csv
  • 16 - Creating a Simple Single Turbine Model Part2.mp4
    12:49
  • 17 - Power Curve Visualization.mp4
    13:21
  • 3 - Section 3 Quiz Time.html
  • 18 - Introduction to Weibull Distribution.mp4
    08:43
  • 19 - Weibull Distribution in Python.mp4
    22:51
  • 20 - Visualization.mp4
    07:57
  • 21 - Introduction.mp4
    04:46
  • 22 - TemperatureDensity SubModels.mp4
    06:50
  • 23 - Wind Speed Model.mp4
    05:53
  • 24 - Modeling Single Wind Turbine in Python Part1.mp4
    17:32
  • 24 - weather-montreal.csv
  • 25 - Modeling Single Wind Turbine in Python Part2.mp4
    34:38
  • 26 - Introduction.mp4
    08:00
  • 27 - Wind Farm Modeling In Python Part1.mp4
    33:13
  • 28 - Wind Farm Modeling in Python Part 2.mp4
    08:22
  • 29 - Variables and Methods.mp4
    13:42
  • 30 - Math Operators.mp4
    03:09
  • 31 - Assignment Operators.mp4
    03:52
  • 32 - Comparison Operators.mp4
    02:23
  • 33 - Logical Operators.mp4
    04:30
  • 34 - Conditional Statement.mp4
    08:05
  • 35 - Loop.mp4
    04:44
  • 36 - List.mp4
    14:45
  • 37 - Dictionary.mp4
    06:55
  • 38 - Tuple.mp4
    04:08
  • 39 - for loop.mp4
    03:39
  • 40 - Range Function.mp4
    03:15
  • 1 - Course Content.mp4
    04:06
  • Description


    All you need to know about wind energy, wind turbines and wind farm modeling Using 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

    Who is this 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!
  • What You Need to Know?


  • No Requirement
  • More details


    Description

    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!

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    Navid Shirzadi
    Navid Shirzadi
    Instructor's Courses
    My name is Navid Shirzaid and I am super excited that you are here to read this section!I am a researcher with more than 7 years of experience in the field of controlling integrated energy systems with extensive skill in using mathematical optimization strategies. I am also proficient in coding with Python and developing machine learning and deep learning models for different applications. I have several publications in the field of designing and control strategies of energy systems using machine learning, deep learning, and artificial intelligence.To Conclude, I am passionate about Data Science and Machine Learning, and Optimization applications in real-world problems and I really like to share my experience with you!
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 37
    • duration 5:56:20
    • Release Date 2023/06/16