A preliminary study is presented with the aim of modeling the thermal behavior of a passive building that is ventilated merely with the promotion of natural ventilation, various models have been assessed by using the system identification process. The identification of a simplify and lite model of such thermal behavior is needed to later control the thermal comfort of the indoor environment through the building natural ventilation openings and window blinds. A physical-phenomena-based model using electrical analogies is built upon hypotheses allowed by the architectural features of the building. This helps analyze the interaction between the main elements of the physical domain, where the thermal behavior is only determined by the indoor air and concrete-slab temperatures. Three model approaches are examined with the help of the system identification toolbox: State space, Process models (linear and frequency domain), and Nonlinear representation. The nonlinear representation model is the best fitted encountered after 13 iterations with an accuracy of 71%.


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    Titel :

    Assessment of Different Approaches to Model the Thermal Behavior of a Passive Building via System Identification Process


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Martínez, Alexánder (Herausgeber:in) / Moreno, Héctor A. (Herausgeber:in) / Carrera, Isela G. (Herausgeber:in) / Campos, Alexandre (Herausgeber:in) / Baca, José (Herausgeber:in) / Chen Austin, Miguel (Autor:in) / Chang, Ignacio (Autor:in) / Bruneau, Denis (Autor:in) / Sempey, Alain (Autor:in)

    Kongress:

    Proceedings of the Latin American Congress on Automation and Robotics ; 2019 ; Cali, Colombia October 30, 2019 - November 01, 2019



    Erscheinungsdatum :

    2020-01-30


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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