Prediction of building thermal performance using fuzzy decision support system

An approach to predicting building thermal performance by means of a fuzzy decision support system (FDSS) is proposed in this paper. The following factors are considered for prediction purposes: indoor and outdoor air temperatures, solar radiation, internal gains, wind speed, time (hour and date). A decomposition of a building heat flow into seven (7) components is proposed and respective partial knowledge bases are created for the prediction of the building performance or the control and diagnostics of heating, ventilating and air conditioning (HVAC) systems. The simulation results show that the presented method seems to be promising.<
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