gkennaugh / windfarmsuk

Dashboard to explore Wind Farms in United Kingdom UK

Wind Farms UK

Dashboard to explore wind farms in the United Kingdom
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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Roadmap
5. Contributing
6. License
7. Contact
8. Acknowledgments

About The Project

Dashboard with several pages to explore the data on United Kindgom wind farms.

Page 1 has maps to explore location of wind farms and average predicted wind speed for the area.

Page 2 has summary charts.

Page 3 shows electricity generation charts for individual wind farms.

Page 4 with maps and charts for general wind farm characteristics. Includes a table.

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Built With

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The advantage of using plotly is everything from the front-end to the back-end is built using python. No need to learn javascript and seamlessly put online with https://pythonanywhere.com (free account to get you going). Pythonanywhere has most python packages installed on their own side so you just need to put your .py file and it should run straight away.

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Getting Started

To get a local copy up and running follow these simple example steps.

Prerequisites

Install Python (better to use Anaconda https://www.anaconda.com/)

Installation

1. Clone the repo

   git clone https://github.com/gkennaugh/windfarmsuk.git

2. Install required packages from requirements.txt

   pip install -r requirements.txt

3. Download the two largest files from here and store in the same directory as the other files: https://gkennaugh9.eu.pythonanywhere.com/static/shape25m2.csv
   https://gkennaugh9.eu.pythonanywhere.com/static/roc2010-22(2).csv

4. Run python app_mobile.py in a new Anaconda Command Prompt (can take one minute to fully run first time)

   python app_mobile.py

   Open the app in your local browser at http://localhost:8061

N.B. You can use my api key to begin with but please get your own free key here https://www.mapbox.com/

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Usage

Exploring wind farms in the UK to see which have been approved and which rejected, where most are located, their size and load factor efficiency, and to see the truth from raw data of how well wind farms perform. Could be used to find potential new wind farm locations.

For more examples, please refer to the Documentation

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Roadmap

• [-] Map info (location and predicted wind speed)
• [-] Exploratory charts for electricity generation
• [-] Match site names from two differently named databases
• [-] Obtain additional info from other online sources
  • [-] Monthly electricity generation for each individual wind farm for its lifetime
  • [-] Most recent (month) data for electricity generation
• Add offshore wind farms

See the open issues for a full list of proposed features (and known issues).

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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License

Distributed under the GNU General Public License v3.0. See LICENSE.txt for more information.

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Contact

Your Name - @twitter_handle) - [e-mail]

Project Link: https://github.com/gkennaugh/windfarmsuk

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Acknowledgments

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