• Journal of the Korean Solar Energy Society
• /
• v.30 no.3
• /
• pp.47-54
• /
• 2010

Recently the researchers has been interested in the development of the high performance windows such as solar control window using automatic shading devices, air-flow window, selective coating window. In order to assess the energy performance of total fenestration system, the net energy gains or losses through the glazings and windows should be evaluated. It depends on the thermal transmittance (U-value) and the total solar energy transmittance (SHGC, g-value). This study aims to measure the solar heat gain coefficient according to the NFRC 201 standard test method. In results, we could find the result of different SHGC of the glazing system with a different slat angles. The SHGC in case of $90^{\circ}$ of internal slat angle with regard to the window surface is about 0.56, that in case of $45^{\circ}$ is about 0.49 and that in case of $0^{\circ}$ is about 0.33. Significant dependence on the solar radiation intensity and incident angle was found in comparison of the measured and simulated SHGC.

• Solar Energy
• /
• v.10 no.2
• /
• pp.10-17
• /
• 1990

Short-term tests were conducted on a house at KIER, Daejon for its thermal performance evaluation. The test procedure and data analysis were made according to the PSTAR method. Each test period was 3 days during which the building was unoccupied. The data measured with 8 channels were used to renormalize an audit based simulation model of the house. The following are the key parameters obtained in the present analysis: 1) the building loss coefficient(skin conductance plus infiltration conductance during coheating period); 2) the effective building heat capacity; and 3) the effective solar gain. An estimation of total heat required to maintain a standard level of comfort during a typical winter season is also calculated on the basis of the renormalized simulation model and typical long term weather data.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
• /
• v.30 no.4
• /
• pp.159-166
• /
• 2018

The Korean fenestration energy consumption efficiency rating system only considers thermal performance of the heat transfer coefficient (U-value) and airtightness excluding optical characteristics of the solar heat gain coefficient (SHGC). This study analyzed annual heating and cooling energy requirements on the middle floor of apartment by optical and thermal performance of windows to evaluate the suitability of the rating system. One hundred and twenty-eight windows were analyzed using THERM and WINDOW 7.4, and energy simulation for a reference model of an apartment house facing south was performed using TRNSYS 17. The results showed that window performance was the main factor in the heating and cooling load. The heating load of the reference model was 539 kWh to 2,022 kW, and the cooling load was 376 kWh to 1,443 kWh. The coefficient of determination ($R^2$) of the heating and cooling loads driven from the SHGC were 0.7437 and 0.9869, which are more compatible than those from the U-value, 0.0558 and 0.4781. Therefore, it is not reasonable to evaluate the energy performance of windows using only the U-value, and the Korean fenestration energy consumption efficiency rating system requires a new evaluation standard, including SHGC.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2016.05a
• /
• pp.114-114
• /
• 2016

토양유실에 영향을 미치는 기후 인자로는 강우, 기온, 바람, 습도 및 태양열 복사 등이 있다. 이들 중 강우는 토양침식에 직접적인 영향을 미치는 인자로 토립장의 이탈로 인한 토양침식을 유발한다. 토양침식을 예측하는데 있어 강우의 영향을 나타내는 지표의 설정은 매우 중요하다. 이러한 강우침식인자는 각 강우사상에 대한 강우에너지와 30분 최대 강우강도의 곱의 합으로 정의된다. 강우침식도를 정확하게 계산하기 위해서는 다년간 측정된 분단위 강우자료가 필요하며, 강우자료 획득의 제한과 강우의 분류 및 계산과정 등이 복잡하여 실무적으로 산정하기 어려운 점이 있다. 본 연구에서는 1분 상세강우자료를 이용하여 개정범용토양유실공식(RUSLE)의 강우침식도 R의 추정을 위해 2001년부터 2015년까지 15년간 전국 61개 기상청 관측소의 강우 자료를 수집하여 지점별로 새롭게 계산한 연 강우침식도 및 경험식을 산정하였으며 남한전체($99,720km^2$)를 대상으로 연 강우침식량의 공간분포맵을 작성하였다. 지점별 산정된 경험식은 연평균 강우량과 1분 강우자료로부터 산정된 강우침식도와의 상관관계로 회귀식을 도출하였다. 1분 강우자료로 계산된 강우침식도와 연평균 강우량의 상관관계로부터 도출된 경험식과의 결정계수($R^2$, determination coefficient)는 0.70 ~ 0.98로 높은 상관관계를 나타냈으며 또한, 기존의 국내에서 적용된 경험식과 비교하여 평균 $R^2$가 0.59에서 0.80로 실측값과의 정확성이 높게 개선됨을 알 수 있다.