생물환경연구실

논문 초록 (Abstract)

This study describes integrated logic for an artificial neural network (ANN) to control heating devices on a continuous basis. Two ANN-based control logic systems and two conventional rule-based logic systems were developed to control a heating device and the openings of a do uble skin enveloped building. The ANN-based logic controls heating devic es on a continuous basis according to the indoor temperature. The rule-based logic controls heating systems and openings at enve lopes in two-position on/off operation. Control performance for the dev eloped logic was numerically conducted using computer simulations for a small office space with double skin envelopes during the heating season. Analysis results indicate that the ANN-based temperature control log ic resulted in a more stable temperature near the center of the comfort able range with a reduced opening period of the internal envelope. T he reduced number of on/off moments of the heating device and the ope nings inthe ANN-based logic were predicted to save energy and prevent system degradation. The use of ANN-based logic would be effective f or maintaining a stable thermal environment and for system operation. Rule-based logic can be effectively used to improve building energy eff iciency. In this study, two ANN-based logic types were developed for heating devices controlled on acontinuous basis and their per formance was compared with those of rule-based on/off logic. Thus, in order to cover the limitation of this study, further study is warrante d for examining the clear difference achieved by ANN-based vs. rule-bas ed control, when they are applied to control heating output on a contin uous basis. (C) 2014 Elsevier Ltd. All rights reserved.