Fast Simulation Platform for Retrofitting Measures in Residential Heating

  • Philipp SchuetzEmail author
  • Rossano Scoccia
  • Damian Gwerder
  • Remo Waser
  • David Sturzenegger
  • Peru Elguezabal
  • Beñat Arregi
  • Alessandro Sivieri
  • Marcello Aprile
  • Jörg Worlitschek
Conference paper
Part of the Springer Proceedings in Energy book series (SPE)


Energy efficiency aware building owners are facing a massive amount of different retrofitting options. However, a quantitative assessment of the different options requires a high level of technical expertise. In this contribution, a fast and novel simulation platform for the assessment of different residential heating system configurations is presented. This platform enables dynamic simulations of the complete heating system, calculating energy/heat consumption and comfort indicators for different heating systems during a full year in less than 5 s on a recent laptop. Another key feature of the platform is the inclusion of a large variety of different heat sources (oil/gas/biomass/carbon boilers, air/brine-water or sorption heat pumps), sensible thermal heat storages, as well as building models. Shortly, this system will be the core of a platform enabling interested users to calculate the energy consumption of different retrofitting options accurately. To validate the system models, the energy consumption of the three reference buildings (single family houses with an annual heating energy demand of 15, 45 and 100 kWh/m2) as per the IEA SHC Task 44 is calculated and compared with reference simulations from established simulation frameworks. The energy consumption of these buildings matches the reference values up to 5% for a full year simulation requiring calculations times between 3.3 and 3.7 s on a recent laptop.


Assessment of retrofitting measures in residential heating Fast simulation platform Economic and ecological assessment tool 



The authors would like to thank the European commission for funding of the H2020-project “Heat4Cool” (project ID 723925). The work has also been supported by the Swiss State Secretariat for Education, Research and Innovation (SERI) under Contract No. 16.0082.


  1. 1.
    K. Pollier, L. Gynther, B Lapillonne, Energy Efficiency Trends and Policies in the Household and Tertiary Sectors (2015)Google Scholar
  2. 2.
    B. von Manteuffel, C. Petersdorff, K. Bettgenhäuser, T. Boermans, EU pathways to a decarbonised building sector (2016)Google Scholar
  3. 3.
    P. Byrne, J. Miriel, Y. Lénat, Modelling and simulation of a heat pump for simultaneous heating and cooling. Build. Simul. 5, 219–232 (2012)CrossRefGoogle Scholar
  4. 4.
    M. Elci, S. Narmsara, F. Kagerer, S. Herkel, in Simulation of Energy Conservation Measures and Its Implications on a Combined Heat and Power District Heating System: A Case Study. 13th Conference of Building Performance Simulation Association (Chambéry, 2013), pp. 104–111Google Scholar
  5. 5.
    E. Georges, G. Masy, C. Verhelst et al., Smart grid energy flexible buildings through the use of heat pumps in the Belgian context. Sci. Technol. Built. Environ. 21, 800–811 (2015)CrossRefGoogle Scholar
  6. 6.
    W. Chung, Review of building energy-use performance benchmarking methodologies. Appl. Energy 88, 1470–1479 (2010)CrossRefGoogle Scholar
  7. 7.
    M. Muratori, M.C. Roberts, R. Sioshansi et al., A highly resolved modeling technique to simulate residential power demand. Appl. Energy 107, 465–473 (2013)CrossRefGoogle Scholar
  8. 8.
    F. Oldewurtel, A. Parisio, C.N. Jones et al., Use of model predictive control and weather forecasts for energy efficient building climate control. Energy Build. 45, 15–27 (2012)CrossRefGoogle Scholar
  9. 9.
    C. Wemhöner, B. Hafner, K. Schwarzer, in Simulation of Solar Thermal Systems With Carnot Blockset. Proceedings Eurosun 2000 Conference, ISES (Copenhagen, Denmark, 2000). pp 1–6Google Scholar
  10. 10.
    EQUA IDA Indoor Climate and EnergyGoogle Scholar
  11. 11.
    H. Burmeister, B. Keller, Climate surfaces: a quantitative building-specific representation of climates. Energy Build. 28, 167–177 (1998)CrossRefGoogle Scholar
  12. 12.
    R. Perez, P. Ineichen, R. Seals et al., Modeling daylight availability and irradiance components from direct and global irradiance. Solar Energy 44, 271–289 (1990)CrossRefGoogle Scholar
  13. 13.
    15316-4-1 CE Heating systems in buildings: Method for calculation of system energy requirements and system efficiency: Part 4-1: Space heating generation systems, combustion systems (boilers)Google Scholar
  14. 14.
    D. Gwerder, P. Schuetz, L. Gasser et al., in Entwicklung einer optimalen Einheit aus Wärmepumpe und thermischem Energiespeicher. 21. Wärmepumpentagung BFE Forschungsprogramm. Burgdorf (2015)Google Scholar
  15. 15.
    R. Dott, J. Ruschenburg, F. Ochs et al., The Reference Framework for System Simulation of the IEA SHC Task 44/HPP Annex 38—Part B: Buildings and Space Heat Load. Tech Rep subtask C IEA SHC Task 44 (2013)Google Scholar
  16. 16.
    M. Haller, J. Ruschenburg, F. Ochs et al., The Reference Framework of System Simulations of the IEA SHC Task 44/HPP Annex 38—Part A: General Simulation Boundary Conditions. Tech Rep subtask C IEA SHC Task 44 (2013)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.School of Engineering and ArchitectureLucerne University of Applied, Sciences and ArtsHorwSwitzerland
  2. 2.Department of EnergyPolitecnico di MilanoMilanItaly
  3. 3.Sustainable Construction DivisionTecnaliaDerioSpain

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