A new design concept for integrated thermal energy storage system is suggested to increase energy saving rate for heating and cooling system of the closed glass greenhouse. Heat pump of air source is installed in the mechanical room and air flows then controlled by damper system located between the greenhouse and outdoor environments. A damper control algorithm is designed to enhance the usage of excessive energy in the glass greenhouse. Since the proposed system is installed at the actual glass greenhouse site for experimental verification of energy savings, the proposed system with damper control is compared with conventional greenhouse heating and cooling system. From results, it is found that more than 10% increase of energy saving rate is achieved.

A MOCS(Mobile Ondol heating Control System) is designed for the context-aware inference and the control of the device using mobile phone. The MOCS prepares indoor thermal environments and corresponds to the situation like resident’s coming home. Ondol Heater can be controlled as if the resident came home already. The MOCS adopts direct or indirect awareness of context in housing environment. In this research, it deals with the system making up with agent control module for the direct control and DBMS including the inference for the indirect control. Agent control module is made up of MainServer module for receiving control command and HomeAgent module that operates transmission and receiver by USN(Ubiquitous Sensor Network) device. DBMS consists of the event log data and the control log data including various databases. The structure of database has systemic information using the hierarchy of physical and electronic context for the inference. Furthermore, we suggest and implement what to provide, control and manage the home service in the mobile environment. Finally, it is expected to embody the ubiquitous housing and apply an ondol heating system communicating between human and home at anytime and in anyplace.

온수난방시스템 온실의 디지털 온도제어 수식모형을 수립하고, 이 수식모형을 이용하여 제어시뮬레이션을 실시하여 최적의 온도제어 방법을 구명하였다. 이용된 제어기법은 종래의 온수온도 일정 공급ON-OFF 제어, 비례제어, PI 제어, PID 제어기법이었으며, 시뮬레이션을 이용해 제어기법별 제어성능을 비교 분석하였다. 대상유리온실의 실내온도( Ti )에 관한 디지털 제어수식모형은 공급온수온도( Tw )와 외기온도( To )가 관련된 Ti(textsck＋1)＝ 0.851.Ti(textsck)＋0.055.Tw(textsck)＋0.094.To (textsck)로 나타났다. 온실의 실내온도제어 시뮬레이션을 실시한 결과 종래의 온수온도 일정공급 ON-OFF 제어, P 제어, PI 제어,PID 제어의 정정시간, 오버슛트, 정상오차는 각각 무한, 3.50℃, 3.50℃ / 30분, 2.37℃, 0.51℃ / 21분, 0.00℃, 0.23℃ / 18분, 0.00℃, 0.23℃로 나타났으며, 온수난방시스템 온실의 온도제어에 가장 적합한 제어기법은 PI와 PID제어인 것으로 나타났다 또한 미분이득은 온실의 난방계에 거의 영향을 미치지 않지만 적분이득은 큰 영향을 미치는 것으로 나타났다. 나타났다.