Building Energy Simulation

  • Calculate the actual heating, cooling and electricity demand of a building over time throughout the year
  • Import existing building models in IFC format
  • Quickly and easily show the impact of different insulation variants and different usage profiles
  • Go beyond the classic steady state dimensioning: tailor your heating and cooling generators individually and reveal simultaneity with your own generated PV power
  • Calculate the summer thermal protection according to DIN 4108-2
  • Calculate the dynamic heating load according to DIN 12831
  • Calculate the cooling demand according to VDI 2078
  • Evaluate the comfort as well as the daylight supply in rooms

District Heating and Cooling Networks

  • Determine heat losses and pressure drops through dynamic thermo-hydraulic simulation
  • Import existing GIS data (e.g. from QGIS) in geoJSON format.
  • Use practical and intelligent algorithms to complete the network topology
  • Dimension complex heat networks based on existing or own pipe databases
  • Configure your supply and sub stations with individual models for circulation pumps, controlled valves, heat pumps and heat exchangers using parameters from data sheets
  • Keep track of all parameters at all times with false color view and visually scaled pipe diameters
  • Export the final network topology in geoJSON format (e.g. back to QGIS) and generate a pdf plan

SIM-VICUS is used by

  • Designers of energy concepts for buildings and districts
  • HVAC planners
  • Architects
  • public utilities
  • Researchers in the field of renewable energy concepts

Advantages of SIM-VICUS

  • A more precise dimensioning of heat and cooling generators directly leads to economic advantages, e.g. geothermal heat sources can be dimensioned more precisely or realized at all
  • Get realistic heat demand curves, much more accurate than with over-simplified monthly balance methods
  • Determine the required flow temperatures of your heating and cooling systems more realistically
  • Generate a reliable forecast of lifecycle costs for both capital and operating expenses and make informed, economically worthwhile planning decisions
  • Life-cycle or subsequent costs can be better estimated by supporting building simulation
  • Risk scenarios, such as climate change, special load scenarios, vacancy or change of the building use can be investigated in advance
  • Building simulation saves resources and aims to improve the well-being of building users
  • Building simulation is a necessary tool to investigate both, the sustainability and the economic efficiency of a building