This is an unmodified repository to show the results of a PoC using GPT-Pilot to create the base line of a new consumer App using the GreenPowerIndex. The API costs were arround 65$ to generate the results in aprox. 10 iterations. The implementation to this step saved aprox 6 days of development. We stopped the initial implementation at this stage to create a MVP with some tweaking out of it.

GrünstromIndex 2.0 PWA (GPT-Pilot implementation)

The GrünstromIndex 2.0 PWA (Progressive Web Application) empowers users to plan their electricity consumption with an eye toward environmental sustainability. It integrates real-time CO2 intensity forecasts allowing users to optimize their electricity usage, such as charging electric vehicles or running appliances during times of lower carbon footprint, thus contributing to a more sustainable environment.

Overview

This application leverages a minimalist Express.js backend to serve static assets while the frontend, a rich Progressive Web Application, delivers dynamic content and offline capabilities. Integration with the GrünstromIndex API provides real-time CO2 intensity forecasts. Key technologies include service workers for offline functionality, Bootstrap for styling, and vanilla JavaScript for frontend logic and API interactions.

Features

• Forecast Viewing: Access up-to-date CO2 intensity forecasts to plan electricity consumption.
• Consumption Planning and Tracking: Log start and end times of electricity usage, calculate the CO2 footprint, and view past consumption events including detailed statistics.
• Interactive Forecast Chart: Utilize Chart.js to visualize CO2 intensity over time, aiding in efficient consumption planning.
• Event History with Pagination: Review past electricity consumption events stored in the browser's IndexedDB, including timestamps, consumed Wh, CO2 footprint, and pagination for easy navigation.

Getting started

Requirements

• Node.js
• npm (Node Package Manager)

Quickstart

1. Clone the repository to your local machine.
2. Navigate to the project directory.
3. Run npm install to install the dependencies.
4. Execute npm start to launch the server.
5. Open http://localhost:3000 in a browser to view the application.

License

Copyright (c) 2024 STROMDAO GmbH.