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This study aimed at developing integrated logic for controlling heating device and openings of the double skin facade buildings. Two major logics were developed – rule-based control logic and artificial neural network based control logic. The rule based logic represented the widely applied conventional method while the artificial neural network based logic meant the optimal method. Applying the optimal method, the predictive and adaptive controls were feasible for supplying the advanced thermal indoor environment. Comparative performance tests were conducted using the numerical computer simulation tools such as MATLAB (Matrix Laboratory) and TRNSYS (Transient Systems Simulation). Analysis on the test results in the test module revealed that the artificial neural network-based control logics provided more comfortable and stable temperature conditions based on the optimal control of the heating device and opening conditions of the double skin facades. However, the amount of heat supply to the indoor space by the optimal method was increased for the better thermal conditioning. The number of on/off moments of the heating device, on the other hand, was significantly reduced. Therefore, the optimal logic is expected to beneficial to create more comfortable thermal environment and to potentially prevent system degradation. c 2014 KIEAE Journal , , , ,  Rule-based controls, Optimal controls, Artificial neural network, Double skin facades, Thermal environment A C C E P TA N C E IN F O Received May 6, 2014 Final revision received May 15, 2014 Accepted May 19, 2014          98 KIEAE Journal, Vol. 14, No. 3, Jun. 2014               [1-3]. ,             [4-9].               (thermal buffer zone) .                . ,                  .             .                  .         .  ,         [1].         . ,                 .              (artificial neural network)   . Moon           [10].               .              .       (twoposition on/off)    .              [10].              .  ,       (variable)   .   (variable air volume)         . ,               .             .                .

kieae journal

Development of Integrated Control Methods for the Heating Device and Surface Openings based on the Performance Tests of the Rule-Based and Artificial-Neural-Network-Based Control Logics