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https://github.com/paulhex6/wind-turbine

Analysis of wind turbine data for a given location
https://github.com/paulhex6/wind-turbine

climate climate-data energy-analysis open-meteo-api renewable-energy renewables streamlit wind wind-turbine windturbine

Last synced: 17 days ago
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Analysis of wind turbine data for a given location

Host: GitHub
URL: https://github.com/paulhex6/wind-turbine
Owner: PaulHex6
Created: 2024-08-09T16:00:04.000Z (6 months ago)
Default Branch: main
Last Pushed: 2024-08-20T15:42:56.000Z (6 months ago)
Last Synced: 2024-11-26T04:30:36.476Z (3 months ago)
Topics: climate, climate-data, energy-analysis, open-meteo-api, renewable-energy, renewables, streamlit, wind, wind-turbine, windturbine
Language: Python
Homepage:
Size: 27.3 KB
Stars: 1
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: readme.md

Awesome Lists containing this project

README

# ⚡ Wind Turbine Analysis Tool

![Python](https://img.shields.io/badge/Python-3.8%2B-blue)
![Streamlit](https://img.shields.io/badge/Streamlit-1.0%2B-red)
![License](https://img.shields.io/badge/License-Apache%202.0-green)

## Overview

A Python-based Streamlit application for wind energy analysis. This renewable energy tool calculates potential energy generation from historical wind data, provides climate analysis, and visualizes results with interactive graphs.

Live demo [![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://wind-turbine.streamlit.app)

## Features

- **Address-Based Location Selection**: Input an address, and the app automatically fetches the corresponding latitude and longitude.
- **Wind Data Retrieval**: Retrieves historical daily wind speed and gust data from the Open-Meteo API.
- **Wind Turbine Energy Calculation**: Estimates the total energy generation of a wind turbine based on the wind data and turbine specifications.
- **Interactive Graphs**: Visualize daily wind speed and gust data with Plotly, including indicators for exceeding the turbine's maximum wind speed.
- **Performance Metrics**: Compare the wind data to average values and assess the turbine's performance.

## Installation

1. **Clone the repository**:
```bash
git clone https://github.com/your-username/wind-turbine-analysis.git
cd wind-turbine-analysis
```

2. **Install the required dependencies**:
```bash
pip install -r requirements.txt
```

3. **Run the application**:
```bash
streamlit run main.py
```

## Usage

1. **Set Wind Turbine Parameters**:
- Adjust the start wind speed, max wind speed, rated wind speed, and rated power from the sidebar.

2. **Enter Location and Date Range**:
- Input the address (e.g., "Warszawa, Aleje Jerozolimskie") and select the start and end dates for your analysis.

3. **Fetch Data**:
- Click "Fetch Data" to retrieve the wind data and automatically calculate the energy generated by the wind turbine.

4. **View Results**:
- The daily wind data is visualized on an interactive graph.
- Performance metrics such as total energy generated, max wind speed, average wind speed, and minimum speed are displayed in the analysis section.

## Dependencies

- `streamlit`: Web app framework for data science.
- `pandas`: Data analysis and manipulation tool.
- `numpy`: Numerical computing package.
- `requests`: HTTP library for Python.
- `geopy`: Geocoding library to convert addresses into latitude and longitude.
- `plotly`: Interactive graphing library.
- `xlsxwriter`: Saving data to Excel sheet.

## API

This application uses the [Open-Meteo API](https://open-meteo.com/) to fetch historical wind data.