🌞 Raydium - Solar Potential Analysis for India

Raydium aims to map India's solar potential using high-resolution data and advanced processing techniques. This project is actively being developed, and contributions are highly appreciated! 🚀

🌟 Features

• Solar Potential Mapping: Fetches and calculates solar potential using NASA POWER API data 🌞
• Interactive Visualization: Displays solar potential over India with interactive maps 🖼️
• High-Resolution Interpolation: Generates detailed solar potential maps using grid sampling and interpolation 🗺️
• Optimized Data Fetching:
  • Rate Limiting: Ensures respectful API usage by limiting request rates ⏱️
  • Caching: Stores fetched data locally to minimize redundant API calls 💾
  • Concurrency: Utilizes asynchronous processing for efficient data handling ⚡
• Automated with GitHub Actions: Automatically runs daily or on-demand using GitHub Actions 🕒
• Comprehensive Logging: Tracks the process flow and errors with detailed logs 📜

🛠️ Setup

Prerequisites

• Python: Version 3.8 or higher
• Required Packages: Listed in requirements.txt
• GeoJSON File: Ensure you have the india-soi.geojson file in the root directory. You can obtain it from DataMeet.

1️⃣ Clone the Repository

git clone https://github.com/your-username/raydium.git
cd raydium

2️⃣ Install Dependencies

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt

Or manually install dependencies with:

pip install numpy pandas geopandas folium pvlib requests beautifulsoup4 shapely scipy branca matplotlib tqdm```

3️⃣ Run the Scripts Locally

The project is now split into two separate scripts for better modularity and efficiency:

Data Collection: Fetches and processes solar data. Visualization: Generates visualizations based on the collected data.

🌐 GitHub Actions Workflow

To automate the solar analysis daily or on-demand, Raydium uses GitHub Actions! 🎉

1. Enable GitHub Actions:
   • The workflow is defined in .github/workflows/run_raydium.yml.
2. Triggers:
   • Run daily at midnight UTC (modifiable by editing the cron).
   • Or trigger manually from the Actions tab.

📝 Workflow Overview

name: Generate Solar Potential Data

on:
  schedule:
    - cron: '0 0 * * *'  # Run daily at midnight UTC
  workflow_dispatch:      # Allow manual trigger

jobs:
  collect-data:
    name: Data Collection - ${{ matrix.region }}
    runs-on: ubuntu-latest
    strategy:
      matrix:
        region: [north, south, east, west]  # Define regions based on your GeoJSON files

    steps:
      - name: Checkout Repository
        uses: actions/checkout@v3
        with:
          fetch-depth: 0

      - name: Set Up Python Environment
        uses: actions/setup-python@v4
        with:
          python-version: '3.10'

      - name: Install System Dependencies
        run: |
          sudo apt-get update
          sudo apt-get install -y libgeos-dev libproj-dev

      - name: Install Python Dependencies
        run: |
          python -m pip install --upgrade pip
          pip install -r requirements.txt

      - name: Run Data Collection for ${{ matrix.region }}
        run: |
          python data_collection.py --region ${{ matrix.region }}
        env:
          PYTHONUNBUFFERED: 1

      - name: Upload Solar Data Artifact
        uses: actions/upload-artifact@v3
        with:
          name: solar-data-${{ matrix.region }}
          path: india_solar_data_${{ matrix.region }}.csv

  generate-visualization:
    name: Generate Visualization
    runs-on: ubuntu-latest
    needs: collect-data
    steps:
      - name: Checkout Repository
        uses: actions/checkout@v3
        with:
          fetch-depth: 0

      - name: Download All Solar Data Artifacts
        uses: actions/download-artifact@v3
        with:
          name: solar-data-north
          path: ./data/north
      - uses: actions/download-artifact@v3
        with:
          name: solar-data-south
          path: ./data/south
      - uses: actions/download-artifact@v3
        with:
          name: solar-data-east
          path: ./data/east
      - uses: actions/download-artifact@v3
        with:
          name: solar-data-west
          path: ./data/west

      - name: Combine Solar Data
        run: |
          cat ./data/north/india_solar_data_north.csv ./data/south/india_solar_data_south.csv ./data/east/india_solar_data_east.csv ./data/west/india_solar_data_west.csv > india_solar_data.csv

      - name: Set Up Python Environment
        uses: actions/setup-python@v4
        with:
          python-version: '3.10'

      - name: Install System Dependencies
        run: |
          sudo apt-get update
          sudo apt-get install -y libgeos-dev libproj-dev

      - name: Install Python Dependencies
        run: |
          python -m pip install --upgrade pip
          pip install -r requirements.txt

      - name: Run Visualization
        run: |
          python visualization.py
        env:
          PYTHONUNBUFFERED: 1

      - name: Upload Visualization Artifacts
        uses: actions/upload-artifact@v3
        with:
          name: visualization
          path: |
            india_solar_potential.html
            solar_potential_high_res.png

  commit-data:
    name: Commit and Push Generated Files
    runs-on: ubuntu-latest
    needs: generate-visualization
    steps:
      - name: Checkout Repository
        uses: actions/checkout@v3
        with:
          fetch-depth: 0

      - name: Download Solar Data Artifacts
        uses: actions/download-artifact@v3
        with:
          name: solar-data-north
          path: ./data/north
      - uses: actions/download-artifact@v3
        with:
          name: solar-data-south
          path: ./data/south
      - uses: actions/download-artifact@v3
        with:
          name: solar-data-east
          path: ./data/east
      - uses: actions/download-artifact@v3
        with:
          name: solar-data-west
          path: ./data/west

      - name: Download Visualization Artifacts
        uses: actions/download-artifact@v3
        with:
          name: visualization
          path: ./visualization

      - name: Configure Git Credentials
        run: |
          git config user.name "github-actions[bot]"
          git config user.email "github-actions[bot]@users.noreply.github.com"

      - name: Combine Solar Data
        run: |
          cat ./data/north/india_solar_data_north.csv ./data/south/india_solar_data_south.csv ./data/east/india_solar_data_east.csv ./data/west/india_solar_data_west.csv > india_solar_data.csv

      - name: Copy Generated Files to Repository
        run: |
          cp india_solar_data.csv india_solar_potential.html solar_potential_high_res.png .

      - name: Commit and Push Changes
        run: |
          git add india_solar_data.csv india_solar_potential.html solar_potential_high_res.png
          git diff --cached --quiet || (
            git commit -m "Update solar potential data [skip ci]" &&
            git push
          )
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

📊 Output

• india_solar_potential.html: Interactive map showcasing solar potential across India.
• solar_potential_high_res.png: High-resolution image of the solar potential map.
• india_solar_data.csv: Raw solar potential data for each grid point sampled.

📂 File Structure

.
├── data_collection.py                   # Script for fetching and processing solar data
├── visualization.py                    # Script for generating visualizations
├── requirements.txt                    # Python dependencies
├── india-soi.geojson                   # GeoJSON file of India's boundaries
├── .github
│   └── workflows
│       └── run_raydium.yml              # GitHub Actions workflow
├── README.md                           # Project documentation
├── solar_data.log                      # Log file for the data collection process
├── visualization.log                   # Log file for the visualization process
├── india_solar_data.csv                # Aggregated solar potential data
├── india_solar_potential.html          # Interactive solar potential map
└── solar_potential_high_res.png        # High-resolution solar potential image

📋 Credits

Special thanks to DataMeet for the GeoJSON boundary file of India and to NASA POWER API for the data required to calculate the solar potential.