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This study proposes an effective thermal control method for thermally comfortable and energy-efficient environments in buildings with double skin envelopes. Four rule-based control logics and an artificial neural network (ANN)-based control logic were developed for the integrated control of openings and cooling systems in summer. Using numerical computer simulations, the performance of the proposed...
This study aims to develop Artificial Neural Network (ANN) models to examine the thermal performance of double skin-enveloped buildings under different opening conditions. Performance tests of the ANN models, which were developed for integrated temperature control logics, were conducted for a space with a double skin envelope in a one-storey building during the winter.ANN models were embedded in the...
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