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공동주택단지의 개발계획단계 시 에너지 수요예측 프로세스에 관한 연구
문선혜(Mun Sun-Hye),허정호(Huh Jung-Ho) 한국태양에너지학회 2008 한국태양에너지학회 학술대회논문집 Vol.- No.-
Currently energy use planning council system is mandatory especially for the urban development project planned on a specified scale or more, The goal of existing demand prediction was to calculate the maximum load by multiplying energy load per unit area by building size, The result of this method may be exaggerated and has a limit in the information of period load, The paper suggests a new forecasting process based on standard unit household in order to upgrade the limit in demand prediction method of multi-family housing complex, The new process was verified by comparing actual using amount of multi-family housing complex to forecasting value of energy use plan.
거주자 행태 기반의 패시브 하우스 모니터링 데이터 분석 및 EnergyPlus 모델의 검증
문선혜(Sun-hye Mun),강정아(Jeonga Kang),곽영훈(Younghoon Kwak),허정호(Jung-Ho Huh) 대한설비공학회 2021 대한설비공학회 학술발표대회논문집 Vol.2021 No.6
This study is an early stage to carry out a quantitative evaluation of energy savings through efficient operation of buildings. To this end, the occupant’s behavior was analyzed based on the field measurement results of the passive house. The behavior was analyzed for occupancy, window opening and closing, external blinds, heat recovery ventilator, and indoor thermal environment. In the case of the window opening and closing behavior, the occupant’s behavior of the normal residential was different, and the external blinds were not functioning properly. And the analysis results were reflected in the simulation model. The created model was calibrated for the indoor temperature and the energy useage of the heat recovery ventilator. In the future, we intend to develop an algorithm that supports residents to efficiently operate the passive house.
창 개폐 행태가 에너지요구량 절감 및 쾌적성 향상에 미치는 영향력 분석
문선혜(Mun, Sun-Hye),배우빈(Bae, Woo-Bin),허정호(Huh, Jung-Ho) 대한건축학회 2015 대한건축학회논문집 Vol.31 No.4
In this study, the occupant behavior of window operation in residential buildings was implemented and dynamic building energy simulation was also conducted to examine the effect of the behavior reflection on natural ventilation rate, energy demand and thermal comfort. The process of using EMS(Energy Management System) and AFN(Air Flow Network) has been carefully proposed in order to realize the stochastic behavior model on the simulation. The energy demand and thermal comfort based on the behavior was reviewed. The results show that window operation was realized toward cooling energy reduction as well as comfort satisfaction through natural ventilation in summer. Further, when the ventilation rate was fixed, the thermal comfort was lower than other behavior models. In the future, it is necessary to develop a behavior models suitable for the domestic residential culture. In addition to window opening and closing, if behavior models for the operation of heating and cooling equipment were developed, it will be able to predict the building energy consumption with a more accuracy.
문선혜(Sun Hye Mun),윤용상(Yong Sang Yoon) 대한설비공학회 2009 대한설비공학회 학술발표대회논문집 Vol.2009 No.-
The integration of passive elements in building design is proven to lead to minimization of energy loads imposed to a building. Nowadays, with one step forward, much effort is made to achieve zero energy in multi-house by introducing new and renewable energy facility to a building. The present study aimed at estimating the cost for renewable energy facility adopted to achieve zero energy in a multi-house after calculating the present cost for energy consumption as well as energy loads at the existing multi-house. At the same time the study evaluated the reduction effect in energy load and cost in cases of integration of passive design and high efficient energy-related equipment and materials. As a result it was analyzed that cost reduction and cutdown of energy load be achievable up to approx 50% as a whole. In an attempt to recognize the initial investment on introduction of renewable energy equipments and its type and payback period, it was found that what needs the longest payback period is solar energy generating equipment with up to 57 years, while the shortest is geothermal power generating equipment with 8~9 years.