Abstract
Heating, ventilation and air conditioning (HVAC) systems in buildings aim to control the indoor climate in order to keep occupants comfortable by control the temperature and air flow specially in arid zone like south west Algeria when we have hot summer and cold winter. To achieve the comfort, it is necessary to have adaptable control systems that could deal with the parameters required to control the indoor climatic conditions. This paper, we have developed a nonlinear physical model of order seven by using lumped capacitance method. The experimental data measured in the laboratory we used for the validation phase of the models. The identification of the thermal parameters was did manually under the Matlab/Simulink environment. The control phase aims to provide user comfort. The choice was made on conventional controllers adapted to this kind of model. The PID and On/Off controllers are given good results.
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Soufiane, M., Imane, B., Ikram, R., Fatah, B., Belkacem, D. (2018). Modeling and Control Thermal of Building for Improve Comfort Level by Using PID and On/Off Methods in the Case South-West Algeria. In: Hatti, M. (eds) Artificial Intelligence in Renewable Energetic Systems. ICAIRES 2017. Lecture Notes in Networks and Systems, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-319-73192-6_40
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DOI: https://doi.org/10.1007/978-3-319-73192-6_40
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