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스컬용융법에 의한 패각을 이용한 큐빅지르코니아 단결정 성장
정진화,연석주,석정원,Jung, Jin-Hwa,Yon, Seog-Joo,Seok, Jeong-Won 한국결정성장학회 2013 한국결정성장학회지 Vol.23 No.3
In this research, cubic zirconia is synthesized with a refined CaO from shells as a stabilizer through Skull melting method. The proper process time and concentration are defined by Hydration reaction to produce the refined CaO after two different treatments using 0.1 mol% of HCl respectively with Cockle shell. The highest purity of CaO is reached when the shell is immersed in 1 mol% HCl. In Hydration reaction step, the pure $Ca(OH)_2$ is produced at $45^{\circ}C$ for 24 hours. The highest purity of CaO is measured when the $Ca(OH)_2$ is treated by heat at $1200^{\circ}C$ for 5 hours. The single crystals are grown through Skull melting method by adding the different contents of the refined CaO from 10 mol% to 30 mol% into $ZrO_2$. The frequency of High-frequency oscillator used for Skull melting method is 3.4 MHz. The descending speed of the single crystal is 3 mm/hour. The grown length of the single crystal is 4 cm. As a result of this study, 15 mol% of CaO has the best crystallinity.
건물유형별 에너지소비 예측성능 향상을 위한 변수중요도 및 기계학습모델 평가
정진화(Jeong, Jin-Hwa),채영태(Chae, Young-Tae) 한국건축친환경설비학회 2017 한국건축친환경설비학회 논문집 Vol.11 No.6
The optimal machine learning model depends on building types was selected by comparing and analyzing short term load forecasting (STLF) performance of primary school and commercial reference building based on 4 machine learning models such as ANN, SVM, CHAID, and, RF. The research consists of data collection-storage, data analysis, meteorological variables extraction, energy consumption forecasting and analysis on typical primary school and commercial building energy model. TMY (Typical Meteorological Year) of Incheon, Korea was applied and based on weather forecasting data provided by the KMA (Korea Meteorological Agency). In case of building energy consumption data, primary school and medium commercial reference building energy consumption data by on EIA’s Commercial Buildings Energy Consumption Survey (CBECS) were used. Key weather variables were extracted for each machine learning model between the input variables and the output which is building energy consumption in 15 minutes interval. Finally, forecasting of energy consumption on different building types conducted a comparative analysis of the forecasting performance of building energy consumption based on 4 machine learning models using optimal input variables. The results shows ANN model outperforms other models with 5.44% of CV (RMSE) for 7 days school building energy forecasting trained 8 weeks prior data. Whereas, RF model performs better than the others with 10.96% of CV (RMSE). It may be concluded that the priority of variables which have impacts on energy consumption is important and the most suitable model for energy forecasting is different by the building types.
전기변색 유리 기반 복층화 위치에 따른 열적 및 광학적 성능 비교
정진화(Jeong, Jin-Hwa),이선한(Lee, Seon-Han),채영태(Chae, Young-Tae) 한국건축친환경설비학회 2020 한국건축친환경설비학회 논문집 Vol.14 No.3
Recently, smart window be focused on attention with improvement of occupants comfort and building energy performance. Among various smart window, electrochromic glazing (ECG) has outperformed response and can real-time control. In past year, energy simulation and field test of ECG are conducted with various region and building types using control parameters. However, few studies have been performed with design position of ECG in building. This paper analyzed thermal and optical characteristics with ECG position in double layered clear glazing and low-e glazing. It also performed building energy simulation for typical medium office building with different design position of ECG in summer and winter season. First, U-value of ECG+low-e glazing set was higher thermal performance than ECG+clear glazing set. It is more advantageous to position the ECG on the outside than inside position to prevent solar radiation when changed from clear to tint state of ECG. Also, external positioned ECG can contribute to the reduction transmitted solar radiation at clear state of ECG in double clear glazing set. However, internal positioned cleared ECG was more effective to prevent solar radiation in double low-e glazing set because low-e glazing has lower solar transmittance and higher front surface reflectance. The solar transmittance characteristics was compared with different positioned ECG in summer and winter season for typical medium office building. In summer season, external ECG (tint state)+clear/low-e glazing set was more advantageous to prevent transmitted solar radiation by 93% than double layered clear glazing in Incheon, Korea. The ECG+clear glazing set can increase solar radiation compared to ECG+low-e glazing in winter season. Especially, combination of clear glazing+internal ECG outperformed to save heating load than other cases and showed little difference as the amount of transmitted solar radiation was less 10% than double layered clear glazing set for winter season. Finally, ECG+low-e combination can also reduce cooling and heating system sizing by 28%, 26% in approximation with different state of ECG.