Decentralized Energy Trading for a Sustainable Future
Latin America faces a severe drought crisis, affecting countries like Colombia, Ecuador, and Brazil. Many governments are encouraging private initiatives for solar energy generation in homes, buildings, and residential communities. The lack of rainfall has led to continuous energy shortages, which could be mitigated with decentralized solar energy units.
Each household can generate between 2 to 5 kWh daily with minimal investment in solar panels and inverters. During the day, houses can produce and trade surplus energy, while at night, they rely on the public grid (assuming an on-grid system). Existing centralized energy trading models lack transparency and accessibility, but now, blockchain technology enables decentralized, fair, and automated trading.
With Solarmetrics, homeowners can:
- Sell excess energy and earn SOLAR tokens.
- Buy affordable energy when others in their community have a surplus.
- Trade energy with public utility companies, storing tokens for future use.
The goal is to maximize clean energy injection into the grid, promoting sustainability while leveraging AI agents to automate the entire process. Each solar meter could be integrated with an AI agent (e.g., running on a Raspberry Pi) and connected to a bidirectional net meter with some tweaking ( not covered in this demo) that tracks energy flow and it will become a solar power meter into an intelligent AI meter!.
Solarmetrics is a DeFi-powered, AI-enhanced decentralized energy trading platform designed to optimize solar energy consumption and distribution within local communities. Built on the Sonic blockchain, Solarmetrics enables households to buy, sell, and monitor energy in real-time, ensuring fair pricing, efficiency, and sustainability. This project is part of the Sonic DeFAi Hackathon.
View our system architecture diagram
- ⚡ Decentralized Energy Marketplace: Peer-to-peer (P2P) energy trading using ERC-20 SOLAR tokens.
- 🔄 AI-Powered Energy Optimization: Predicts surplus/deficit energy using real-time consumption data from energy meters.
- ⌚ Automated Energy Settlement: Secure, trustless transactions on the Sonic blockchain.
- 🛠 Real-Time Monitoring: AI agents monitor energy production, consumption, and transactions via an intuitive Web3 dashboard.
- Energy Tokenization: Each house receives SOLAR tokens based on energy contribution. (The swap process is not developed here, but it can be easily implemented.)
- Decentralized Trading: Users trade excess energy using smart contracts on Sonic.
- AI & Automation: The ZerePy AI agent monitors and optimizes energy allocation.
Solarmetrics integrates DeFi, AI, and blockchain to enable transparent, decentralized energy trading:
- Frontend: Next + Web3 (Vercel).
- AI Agent Infrastructure: ZerePy framework for building and managing AI agent network.
- LLM Engine: OpenAI (GPT-4 and GPT-3.5-turbo) for intelligent decision-making and natural language processing.
- Blockchain Data Queries: Nebula AI for efficient querying of on-chain data and analytics.
- Smart Contracts: ERC-20 SOLAR token built on Sonic blockchain, managed via ThirdWeb API.
- Energy Data Simulation: Uses real-world energy patterns to simulate grid behavior, built on Node.js.
Solarmetrics provides a dashboard showcasing how AI agents manage decentralized energy transactions.
- Main Agent: The ZerePy-based AI agent receives raw data from simulated energy sensors, communicates with OpenAI's LLM, and makes optimal trading decisions. It determines whether households trade among themselves or interact with the public grid. Nebula AI is used to query on-chain data for real-time analytics.
- Meter Agents: Each Sonic Meter is a real AI agent powered by ZerePy, which listens to and interprets data, then executes transactions on the Sonic Blaze testnet.
- Four AI meters represent individual households.
- One public AI meter represents the Public Energy Company/Public Grid.
- Each AI agent has its own wallet address.
- Energy Data Simulation: Uses real-world energy patterns to simulate grid behavior.
- Implement real-time energy monitoring, buying and selling
- Develop ERC-20 SOLAR token
- Integrate AI-agents in a descentralized way that comunicates with each other
- Implement token pricing based on supply/demand
- Launch mainnet version
- Expand to IoT-powered metering systems and real hardware integration.
- Integrate a "comitee-model" with 2 or more LLMs for advanced energy forecasting.
- David Ramirez (Blockchain & AI Integration, Frontend, Smart Contracts, Energy Simulation)
Follow our progress and contribute to the future of decentralized energy trading:
- Twitter: @solarmetrics
- GitHub: Solarmetrics Repo
MIT License - Free to use and contribute!
Solarmetrics: Powering a decentralized and sustainable future! ✨🚀