| Title |
Application of Artificial Neural Network for Optimum Controls of Windows and Heating Systems of Double-Skinned Buildings |
| Authors |
문진우(Jin Woo Moon) ; 김상민(Sang-Min Kim) ; 김수영(Sooyoung Kim) |
| DOI |
http://dx.doi.org/10.6110/KJACR.2012.24.8.627 |
| Keywords |
인공 지능망 ; 열환경 제어 ; 이중외피 ; 모델 최적화 Artificial neural network ; Thermal environment control ; Double skin envelope ; Model optimization |
| Abstract |
This study aims at developing an artificial neural network(ANN)-based predictive and adaptive temperature control method to control the openings at internal and external skins, and heating systems used in a building with double skin envelope. Based on the predicted indoor temperature, the control logic determined opening conditions of air inlets and outlets, and the operation of the heating systems. The optimization process of the initial ANN model was conducted to determine the optimal structure and learning methods followed by the performance tests by the comparison with the actual data measured from the existing double skin envelope. The analysis proved the prediction accuracy and the adaptability of the ANN model in terms of Root Mean Square and Mean Square Errors. The analysis results implied that the proposed ANN-based temperature control logic had potentials to be applied for the temperature control in the double skin envelope buildings. |