- Class: District energy systems
- Analytical approach: Bottom-up
- Purpose:
- Methodology: Optimization
- Deterministic
- Regions: Districts
- Sectors: Electricity, heat, gas, (electric mobility)
- Demand sectors: Residential, commercial, industrial
- Generation technologies: Decentralized technologies
- Energy carriers: Electricity, heat, gas
- Time horizon: One year
- Time resolution: Hourly
- Developer: EMPA
- Contact: Andrew Bollinger
- Documentation:
Ehub Tool
The purpose of the Ehub Tool is to support the technical design optimization of decentralized energy systems for districts and neighborhoods.
Model inputs
- Fuel Data (Price and CO2)
- Interest rate
- Export price
- Number of hubs
- Demand data
- Technology data
- Solar data
- Newwork data