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Calibration and validation of a solar thermal system model in Modelica

  • Research Article
  • Building Systems and Components
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Abstract

Recent advancements in the domain of modeling physical processes offer opportunities to use equation based modeling environments, such as Modelica, for the simulation of building heating, ventilation, and air-conditioning (HVAC) systems. The current work demonstrates Modelica capabilities in a case study of real building solar thermal system simulation. The simulated system is part of an innovative ENERGYbase building, designed according to the so called Passivhaus standard. Model calibration and validation procedure is developed to include optimization based parametric adjustments of component models using the monitoring data during a single week. The calibrated system adequately reproduces half a year of real system operation. Future work will concentrate on application of the developed calibration and validation methodology in the whole year overall building energy simulation.

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References

  • Basciotti D, Dubisch F, Fontanella G, Judex F (2010). Modeling and validation of the ENERGYbase solar thermal collector field. In: Proceedings of the International Conference on Solar Heating, Cooling and Buildings (EuroSun 2010), Graz, Austria.

  • DOE (2008). Building Energy Software Tools Directory. U.S. Department of Energy, http://www.eere.energy.gov/.

  • Duffie J, Beckman W (2006). Solar Engineering of Thermal Processes, 3rd edn. New York: John Wiley & Sons.

    Google Scholar 

  • Dynasim (2009). Dymola—Dynamic Modeling Laboratory User Manual, Dynasim AB, Lund, Sweden.

    Google Scholar 

  • ENERGYbase (2010). ENERGYbase website, Vienna Business Agency, http://www.energybase.at/eng/, Accessed Jul. 12, 2010.

  • Felgner F, Agustina S, Cladera-Bohigas R, Merz R, Litz L (2002). Simulation of thermal building behaviour in Modelica. In: Proceedings of the 2nd International Modelica Conference (pp. 147–154), Oberpfaffenhofen, Germany.

  • Hoffmann C, Kahler J (2003). Object-oriented simulation of energy supply systems on the basis of renewable energy. In: Proceedings of the 3rd International Modelica Conference (pp. 189–196), Linköping, Sweden.

  • Kim D-S, Malenkovic I, Haslinger G, Brychta M (2007). Dynamic simulation of a solar absorption air conditioning system using an object oriented modelling method. In: Proceedings of the 2nd International Solar Air Conditioning Conference, Tarragona, Spain.

  • Mathworks (2010). Matlab and Simulink for Technical Computing. The MathWorks Inc, http://www.mathworks.com.

  • Matthes P, Haase T, Hoh A, Tschirner T, Muller D (2006). Coupled Simulation of Building Structure and Building Services Installations with Modelica. In: Proceedings of the 5th International Modelica Conference (pp. 717–723), Vienna, Austria.

  • Modelica (2010). Modelica and Modelica Association Portal. Modelica Association, http://www.modelica.org/, accessed Jul. 10, 2010

  • Selke T, Preisler A (2008). ENERGYbase-Sunny Office Future. In: Proceedings of the 9th International Symposium for Solar Thermal Energy Utilization (SOLAR 2008) (pp. 165–171), Gleisdorf, Austria.

  • Siemens (2009). Desigo Insight Management Station-Getting Started. Siemens Building Technologies, Zug, Switzerland.

    Google Scholar 

  • Sodja A, Zupancic B (2009). Modelling thermal processes in buildings using an object-oriented approach and Modelica. Simulation Modelling Practice and Theory, 17: 1143–1159.

    Article  Google Scholar 

  • Trcka M, Hensen LM (2010). Overview of HVAC system simulation. Automation in Construction, 19: 93–99.

    Article  Google Scholar 

  • Wetter M (2009). Modelica-based modeling and simulation to support research and development in building energy and control systems. LBNL Technical Report LBNL-2740E, Lawrence Berkeley National Laboratory, USA.

  • Wetter M (2001). GenOpt—A generic optimization program. In: Proceedings of the 7th International IBPSA Conference (pp. 601–608), Rio de Janeiro, Brazil.

  • Wetter M, Haugstetter C (2006). Modelica versus TRNSYS—A comparison between an equation-based and a procedural modeling language for building energy simulation. In: Proceedings of the 2nd SimBuild Conference, Cambridge, USA.

  • Wischhusen S, Schmitz G (2004). Transient simulation as an economical analysis method for energy supply systems for buildings or industry. Applied Thermal Engineering, 24: 2157–2170.

    Article  Google Scholar 

  • Yuan S, O’Neill Z (2008). Testing and validating an equation-based dynamic building program with ASHRAE standard method of test. In: Proceedings of the 3rd SimBuild Conference, Berkeley, USA.

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Correspondence to Vladimir Vukovic.

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Fontanella, G., Basciotti, D., Dubisch, F. et al. Calibration and validation of a solar thermal system model in Modelica. Build. Simul. 5, 293–300 (2012). https://doi.org/10.1007/s12273-012-0070-y

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  • DOI: https://doi.org/10.1007/s12273-012-0070-y

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