가상 테스트베드를 활용한 실시간 에너지 수요예측 사례 연구

This paper describes a newly developed energy demand prediction method applying virtual test-bed(VTB). The VTB presented here is a more modular design based on a middleware of Ptolemy Ⅱ, a modular software environment for design and analysis of heterogeneous systems. As a preliminary study, real-time weather forecast data of outdoor temperature and humidity data by KMA(Korea Meteorological Administration) were utilized as inputs into EnergyPlus model to predict the energy consumption of real target building. The final goal of the study is to realize smart operating strategies of the building equipped with BEMS(Building Energy Management System). This case study showed promising results in simulation methodology and implementation.