Smart Energy Optimization System

Project Overview

This project is a Smart Energy Optimization System that leverages IoT devices, battery storage, and power grid data to optimize energy usage, save costs, and generate profits by selling stored energy during peak hours.

The system collects real-time data from IoT devices, power grid prices, and battery levels, and makes intelligent decisions to:

• Turn off non-essential devices during peak hours to reduce energy consumption.
• Release stored energy from batteries to sell at higher prices during peak times.
• Calculate total profits from energy sales and savings from reducing device consumption during peak periods.

Project Structure

The project is built using Flask as the backend framework and HTML/CSS/JavaScript for the frontend. The system uses a web interface to display real-time data, energy savings, and profits. The components are organized as follows:

/energy_controller/
├── app.py                # Flask server entry point
├── iot_device_manager.py  # Manages IoT device communication
├── power_grid_manager.py  # Manages power grid data retrieval
├── battery_manager.py     # Manages battery data and control
├── optimization_engine.py # Optimizes energy consumption and decisions
├── models.py              # Data models for devices, grid, and battery
├── templates/             # HTML templates for the web interface
│   └── index.html         # The dashboard HTML page
├── static/
    ├── css/
    │   └── styles.css     # CSS for styling the web interface
    └── js/
        └── dashboard.js   # JavaScript to handle real-time data and charts

Features

• IoT Device Integration: Communicate with smart home devices like lights, appliances, and thermostats.
• Battery Management: Store and release power based on grid conditions.
• Power Grid Data Retrieval: Track real-time power prices and grid saturation levels.
• Energy Optimization: Make smart decisions to reduce energy consumption and maximize profits.
• Real-Time Dashboard: View real-time data, including profits and savings, using a web interface.

Installation

1. Clone the repository:

   git clone https://github.com/your-repo/smart-energy-optimization.git
   cd smart-energy-optimization

2. Install the required Python dependencies:

   pip install -r requirements.txt

3. Run the Flask server:

   python app.py

4. Open your browser and navigate to http://localhost:5000 to access the dashboard.

API Endpoints

The system exposes several API endpoints to interact with the energy optimization system:

• POST /device/register: Register a new IoT device.
• POST /device/status: Update the status of a registered device (e.g., on/off).
• GET /device/instructions/<device_id>: Get control instructions for a specific device.
• POST /grid/update: Update the current power grid price and saturation level.
• POST /battery/register: Register a new battery.
• POST /battery/update: Store or release power from a battery.
• GET /optimize: Optimize energy usage and return recommendations.
• GET /api/profit: Get the total profit from selling energy.
• GET /api/savings: Get the total savings from shutting down devices.

Engery Controller

Engery Controller Simulator

License

This project is licensed under the MIT License.