• 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

Ehub Tool

The purpose of the Ehub Tool is to support the technical design optimization of decentralized energy systems for districts and neighborhoods.

Generic model structure

Model inputs

  • Fuel Data (Price and CO2)
  • Interest rate
  • Export price
  • Number of hubs
  • Demand data
  • Technology data
  • Solar data
  • Newwork data

Model outputs


  • L.A. Bollingera and V. Dorera (2017). The Ehub Modeling Tool: A flexible software package for district energy system optimization. Energy procedia, 122, 541-546.
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