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Detailed Thermodynamic Modeling of Multi-Zone Buildings with Resistive-Capacitive Method

Author

Listed:
  • Filip Belić

    (TEO-Belišće, Radnička 3, 31551 Belišće, Croatia)

  • Dražen Slišković

    (FERIT, Josip Juraj Strossmayer University of Osijek, Kneza Trpimira 2B, 31000 Osijek, Croatia)

  • Željko Hocenski

    (FERIT, Josip Juraj Strossmayer University of Osijek, Kneza Trpimira 2B, 31000 Osijek, Croatia)

Abstract

Increased use of energy in buildings and HVAC systems requires advanced control schemes like model-based control to improve energy efficiency, which in turn requires accurate thermodynamic models of buildings. The Resistive-Capacitive (RC) method is a popular and versatile approach for thermal modeling of buildings. Despite this, it is not easy to find practical solutions of implementation of the RC method. It is the goal of this paper to clarify the RC method and demonstrate simple implementation of this method, especially for multi-zone buildings, which have more potential for energy savings from use of model-based control. This paper provides two contributions. First is a detailed explanation of the RC method, focusing on its use for developing a structure of a model and first-principles approach for estimation of parameters of a model. Second is a demonstration of an algorithm that enables automatic development of the structure of a model from basic information about a building (layout, construction elements) and its combination with data-based parameter estimation. Use of the algorithm is presented with a case-study on industrial multi-zone building, for which such a grey-box model is developed and analyzed. The resulting model is rapidly developed and used in a simulation with the measured data. The outputs of the model are compared with the measured temperatures and they show good fit.

Suggested Citation

  • Filip Belić & Dražen Slišković & Željko Hocenski, 2021. "Detailed Thermodynamic Modeling of Multi-Zone Buildings with Resistive-Capacitive Method," Energies, MDPI, vol. 14(21), pages 1-24, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7051-:d:666646
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    References listed on IDEAS

    as
    1. Abhinandana Boodi & Karim Beddiar & Yassine Amirat & Mohamed Benbouzid, 2020. "Simplified Building Thermal Model Development and Parameters Evaluation Using a Stochastic Approach," Energies, MDPI, vol. 13(11), pages 1-23, June.
    2. Ali Bagheri & Konstantinos N. Genikomsakis & Véronique Feldheim & Christos S. Ioakimidis, 2021. "Sensitivity Analysis of 4R3C Model Parameters with Respect to Structure and Geometric Characteristics of Buildings," Energies, MDPI, vol. 14(3), pages 1-20, January.
    Full references (including those not matched with items on IDEAS)

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