HELIOS Project
Autonomous, intelligent CHP microgrid utilizing thermal cascade for maximum energy efficiency
Power Output
4.2
W
System Online
🔮 Digital Twin
Also coming soon :)
System Database
Real-time sensor data and energy flow monitoring
📊 Sensor Data
Heat-transfer efficiency
--
Heat-transfer voltage
-- V
Mechanical Turbine efficiency
--
Mechanical Turbine voltage
-- V
Mechanical Turbine RPM
--
⚡ Energy Flow
1. HT Stirling Engine
Power: 2.1W
Efficiency: 42%
2. MT Stirling Engine
Power: 1.5W
Efficiency: 35%
3. TEG Array
Power: 0.6W
Efficiency: 12%
About Helios
Engineering the future of autonomous energy systems
About the Helios Project
Helios is a fully autonomous, instrumented, and intelligent Combined Heat and Power (CHP) microgrid prototype.
The project demonstrates the thermodynamic principle of thermal cascade, where thermal energy is utilized
across multiple temperature levels, maximizing the efficiency of the entire system.
This project serves not only as a demonstration of energy efficiency but also as a platform for developing
cutting-edge skills in robotics, machine learning, cloud infrastructure, and financial technology (FinTech).
🔥 Thermal Cascade
Three-stage system: High-temperature Stirling engine → Medium-temperature Stirling engine → Thermoelectric generators
⚡ Energy Management
Intelligent power conditioning system with MT3608 converter and 10,000mAh power bank
🤖 AI & IoT
Raspberry Pi 4 with machine learning, Arduino Nano as sensor hub, real-time API and database
System Architecture
Mechanical-Thermal Subsystem
• Primary heat source powers a High-Temperature (HT) Stirling Engine
• Waste heat from HT engine is captured and channeled into a Medium-Temperature (MT) Stirling Engine
• Final-stage waste heat from MT engine is converted to electricity by Low-Temperature (LT) Thermoelectric Generators (TEGs)
Electrical Power Subsystem
Generation: DC hobby motors attached to HT/MT engines and TEG array produce low-voltage, variable DC power
Conditioning & Charging: Power outputs are consolidated through Schottky diodes and fed into an MT3608 Boost Converter, outputting stable 5V DC
Storage & Distribution: Central 10,000mAh USB Power Bank ensures multi-hour operational runtime and provides stable 5V power
Cyber-Physical & Data Subsystem
Sensing: Arduino Nano acts as dedicated sensor hub, collecting real-time data from all sensors
Control & Processing: Raspberry Pi 4 serves as the central brain, running data collection scripts, core API, database, and machine learning models
Coming Soon ;)
Stay tuned for project updates and news
Coming Soon ;)
Stay tuned for project updates and news
Coming Soon ;)
Stay tuned for project updates and news
Coming Soon ;)
Stay tuned for project updates and news