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이준우(Junu Lee),김경재(Kyeung-Jae Kim),윤상철(Sang-Chul Youn),권오성(Oh-Sung Kwon) 대한설비공학회 2018 대한설비공학회 학술발표대회논문집 Vol.2018 No.11
To assess the building energy performance, an objective and quantitative tool is necessary. Many existing energy simulation programs provide a number of ways to calculate the energy requirements of a building and the energy consumption for facilities. There is a trade-off relationship between simulating the energy performance of a building easily and simply and deriving accurate and precise results to analyze detailed information of where the diagnosis is required. In other words, it takes a considerable amount of time and effort to obtain accurate results, or in opposite cases, it is difficult to obtain desired precision results. In order to achieve the desired accuracy and precision, simulation programs that do not meet the exact purpose are used or the heterogeneous simulation methods are used. This study deals with the development of a tool based on the standard procedures and methods to simulate the building energy performance and to diagnose HVAC-R systems and energy usage of individual facilities in order to derive appropriate levels of results for the building energy performance. And the study reports the accuracy and usability of the developed tool through the simulation result for an existing building.
건물 에너지 관리 시스템을 위한 에너지 시뮬레이션과 검증
이준우(Junu Lee),김경재(Kyeung-Jae Kim),윤상철(Sang-Chul Youn),장세동(Se-Dong Chang) 대한설비공학회 2016 대한설비공학회 학술발표대회논문집 Vol.2016 No.11
Building Energy Management Systems(BEMS) are computer-based systems that help to manage, monitor, and control energy consuming facilities while providing comfort environment to occupants. To increase energy efficiency and maintain thermal comfort, simulation model based controls are developed and adopted rather than applying experiential know-how based controls. The simulation model consists of thermal load estimation and thermal dynamics calculation of Heating, Ventilation and Air Conditioning(HVAC) systems. The model is verified with measured data from BEMS installed in an existing office building. Error rates of simulation are 2.34% and 4.03% in terms of temperature and energy consumption of HVAC systems. This model was applied to finding optimal solution for energy saving control methods in the BEMS, and 14.4% of energy saving rate is measured in the existing building. This paper reports that the developed model represents thermal dynamics of building and is accurate enough to control HVAC systems of building.