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광역도시 에너지계획단계에서의 DB기반 에너지수요예측 시스템 개발
공동석(Dong-Seok Kong),이상문(Sang-Mun Lee),이병정(Byung-Jeong Lee),허정호(Jung-Ho Huh) 대한설비공학회 2009 대한설비공학회 학술발표대회논문집 Vol.2009 No.-
Energy planning for hybrid energy system is important to increase the flexibility in the urban community and national energy systems. Expected maximum loads, load profiles and yearly energy demands are important input parameters to plan for the technical and environmental optimal energy system for a planning area. The method for energy demand prediction has been based on artificial neural networks(ANN). The advantage of ANN with respect to the other method is their ability of modeling a multivariable problem given by the complex relationships between the variables. This method can produce 10% of errors hourly load profile from individual building to urban community. As the results of this paper, energy demand prediction system has been developed based on simulink.
민감도 분석을 통한 기존건축물의 에너지성능 진단항목 선별
공동석(Dong-Seok Kong),장용성(Yong-Sung Chang),허정호(Jung-Ho Huh) 대한설비공학회 2015 설비공학 논문집 Vol.27 No.7
The building energy audit is an important process when collecting basic information for improving the energy performance of existing buildings. Audit parameters should be associated with the energy performance of the building. Such audit parameters will vary according to an individual building’s characteristics and energy consumption patterns, but most building energy audits are performed in the same way. The sensitivity analysis (SA) is a statistical method to quantify the correlation between inputs and outputs that can determine which input is influential to which output. Therefore, an SA can identify influential parameters when applied to building energy analysis. In this paper, we adopted the Morris method to identify building energy audit parameters and performed a Monte Carlo simulation for uncertainty analysis. As a result, this method was able to identify an influential parameter for building energy audits and reduce uncertainty in energy consumption in buildings.
건물에너지 시스템 설계를 위한 최적설계 방법론에 관한 연구
공동석(Kong, Dong-Seok),장용성(Jang, Yong-Sung),허정호(Huh, Jung-Ho) 한국건축친환경설비학회 2012 한국건축친환경설비학회 학술발표대회 논문집 Vol.2012 No.10
This study presented a new method to use a genetic algorithm for the optimum design of a building energy system. It is essential to apply high-performance equipment and renewable energy source for energy efficiency and reduction of energy consumption. What and how much the equipment used changes the actual energy efficiency in buildings because fuel consumption of equipment has non-linear properties reflected on the partial load. Using the equipment load factor and size as variables, this study conducted optimization to minimize primary energy use. According to the result of the optimization using the genetic algorithm, this design method have led to a potential energy reduction of 10%-18%.
대규모 전시장의 전력 및 냉수 사용량을 기반으로 한 하절기 에너지소비 특성
공동석(Kong Dong-Seok),고인석(Ko In-seok),전형준(Jeon Hyung-Jun),권한솔(Kwon Han-sol),곽노열(Kwak Ro-Yeul),허정호(Huh Jung-Ho) 한국건축친환경설비학회 2008 한국건축친환경설비학회 학술발표대회 논문집 Vol.- No.-
Exhibition facilities are known as an internal load dominated-type building, as compared to other buildings. For the energy efficiency improvement of the subject large commercial building complex, it is valuable to monitor and manage energy performance data through FMS or BAS. Large amount of hourly raw data sets of the entire cooling season were processed and analyzed for the research purpose. The study objective is to investigate correlations between energy consumptions and various field conditions including weather data. Non-energy related data such as leased floor area was identified as a good indicator for the load prediction. The results showed the acceptable load characteristics and expectable correlations between factors and implies the necessity of extra valuable data monitoring such as accurate occupancy and use information.
고지데이터 기반 기존 건축물의 용도별 에너지사용 현황분석 툴 개발
공동석(Dong-Seok Kong),박정민(Jung-Min Park),장용성(Yong-Sung Jang),이건호(Keon-Ho Lee),허정호(Jung-Ho Huh) 대한설비공학회 2015 설비공학 논문집 Vol.27 No.3
Reducing the building energy consumption has become one of the most important issues. However, the current engineering and technological involvement in energy analysis has been relatively low in the existing buildings. In the existing buildings, end-use analysis must be accompanied to calculate the exact amount in energy savings and such analysis should be conducted based on the energy billing data or measurement data by calibration process. Mostly, detailed energy simulation programs have been proposed for the analysis but, it is difficult to utilize them due to realistic problems. In this paper, we developed an end-use analysis tool that have input function for energy audit data and two case studies were conducted in the real-life office buildings located in Seoul, Korea. Mean Bias Error (MBE) and Coefficient of Variation of Root-Mean- Squreaed-Error (CV(RMSE)) are used for the criteria of comparison. Each index was calculated by using monthly utility bills of electricity and gas consumption. Results showed that MBE and CV (RMSE) represented with acceptable values of -0.1% and 5.7% respectively.
성능진단 데이터로 보정된 모델을 이용한 기존건축물의 에너지시뮬레이션 기법
공동석(Dong-Seok Kong),김두환(Du-Hwan Kim),장용성(Yong-Sung Chang),허정호(Jung-Ho Huh) 대한설비공학회 2014 설비공학 논문집 Vol.26 No.5
This paper represents a method of existing building energy simulation using energy audit data. Energy audit must be carried out for reasonable analysis, because characteristics of existing buildings such as efficiency of fan, pump, flow rate, pressure, COP and operating schedule could be changed during the building operation. These building characteristics should be measured to estimate actual energy consumption of the existing building. In this study, we conducted energy audit and calculated energy savings for a 7-stories building as a case-study. The energy audit data were used to calibrate the building model of EnergyPlus simulation. Baseline model validated according to M&V guideline index. As a result, building characteristics are significant parameters making a big impact on energy savings in existing buildings.
초기투자비와 1차 에너지소비량을 고려한 에너지시스템의 다중최적 설계 방법론
공동석(Dong-Seok Kong),장용성(Yong-Sung Jang),허정호(Jung-Ho Huh) 대한설비공학회 2014 설비공학 논문집 Vol.26 No.8
This paper proposed a multi-objective optimization method for building energy system design using primary energy consumption and initial cost. The designing of building energy systems is a complex task, because life cycle cost and efficiency of building are determined by decisions of engineer during the early stage of design. Therefore, methods such as pareto analysis that can generate various alternatives for decision making are necessary. In this study, the optimization is performed using the NSGAⅡ, and case study was carried out for feasibility of the proposed method. As a result, alternative solutions can be obtained for the optimal building energy system design.