• 태양에너지
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• 제10권3호
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• pp.19-26
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• 1990

제작과 시공이 간편하고 저렴한 유하식 집열기의 열성능에 대하여 이론적 해석을 수행하였다. 개선된 이론해석의 결과는 실험결과를 잘 예측하였으며, 이 결과는 유하식 집열기를 이용한 저가 집열 시스템의 장기 열성능 해석 프로그램에 이용되었다. 문답식으로 짜여진 장기 열성능 프로그램은 f-chart 설계법에 근거하였으며, 저가 집열 시스템의 설계 및 경제성 분석에 쉽게 이용할 수 있다.

• 한국태양에너지학회 논문집
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• 제25권1호
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• pp.79-86
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• 2005

The external conditions for estimating dynamic wind loads of wind turbines, such as the turbulence, the extreme wind, the mean velocity gradients and the flow angles, are simulated over GangWon Wind Energy Test Field placed in one of the most complex terrain in Korea. Reference meteorological data has been gathered at a height of 30m from 2003 to 2004 with a ultrasonic anemometer. The absolute value of the spectral energy are simulated and the verification of this prediction has been carried out with comparing to the experimental data. The most desirable place for constructing new wind turbine are resulted as Point 2 and Point 3 due to the lower value of Turbulence Intensity and the higher value of wind resource relatively.

• 천문학회보
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• 제40권1호
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• pp.65.1-65.1
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• 2015

근지구 우주환경 예측을 위해서는 태양의 주기, 흑점, 그리고 코로나의 방출과 함께 Van Allen Belt에 붙잡힌 고에너지 입자의 상태 변화가 우주 환경의 예보를 위한 중요 요소가 된다. 이런 고에너지 입자를 측정하기 위해서는 Van Allen Belt를 통과하는 VAP 위성의 데이터를 살펴보는 것이 매우 중요하다. 이 연구에서는 한국천문연구원에서 APL과 공동으로 VAP 위성의 실시간 데이터를 송수신하는 시스템을 구축하고, 그 실시간 데이터를 우주환경감시실에서 표출하여 Van Allen Belt의 변화를 바로 알아보는 과정을 기술 하였다. 이를 통해 데이터의 경향성을 바로 파악하여 특정 이벤트의 발생을 알아 낼 수 있을 뿐만아니라 과거의 데이터를 손쉽게 찾아볼 수 있었다. 별도의 프로그램을 개발하여 데이터의 표출 비교를 가능하게 함으로써 다른 위성의 데이터나 태양 이미지를 보지 않아도 자체 비교를 통해 이벤트의 발생을 찾아 볼 수 있게 되었다.

• 한국태양에너지학회 논문집
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• 제21권4호
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• pp.21-28
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• 2001

It is a time since sustainable architecture become a main issue of design concept in 21C. However, it is necessary to develope the tool estimating energy loads and uses in our architectural conditions for energy saving design. This study aims to develope the E-Load program to predict heat and cooling loads of houses. The program is developed by modified bin methods derived from ASHRAE TC 4.7. It consists of 4 divisions such as files, data inputs, energy load estimations and output options. The main processes of energy load estimations are based on ASHRAE fundamentals. The developed E-Load program is a easy and valid tool to predict heat and cooling loads of buildings.

• 한국태양에너지학회 논문집
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• 제24권1호
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• pp.29-38
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• 2004

자동자 공조용 시스템에 사용되는 평행류형 응축기에 대하여 실제 운전조건에서 성능을 예측할 수 있는 모델링을 개발하였다. 모델링에 사용된 방법은 유효도-전달단위수법이고, 국소구간을 나누어 해석하는 국소구간법을 사용하였다. 모델링에 사용된 작동유체는 HFC134a이며, 응축기를 흐르면서 방생하는 냉매의 압력손실에 대한 물성변화를 포함시켜 보다 실제에 가깝게 해석하였다. 모델링에는 공기측과 냉매측의 열전달계수와 압력손실계수에 관한 상관식들을 포함하고 있다. 모델링의 결과는 실험값과 비교하여 비교적 잘 일치한다.

• 태양에너지
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• 제9권3호
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• pp.25-36
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• 1989

It is necessary to estimate the regression coefficients in order to predict the monthly mean daily global radiation on a horizontal surface. Therefore many different equations have proposed to evaluate them for certain areas. In this work a new correlation has been made to predict the solar radiation for any area over Korea by estimating the regression coefficients taking into account latitude, percentage of possible sunshine, and cloud cover. Particularly, the single linear equation proposed by Page & Garg shows reliable results for estimating the global radiation with average deviation of -1 to 3% from the measured values.

• 태양에너지
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• 제9권3호
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• pp.81-91
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• 1989

This study represents the method to predict the flow duration curve and primary design specifications of small hydropower plant at hydropower site through analyzing the monthly rainfall data. Weibull distribution was selected to characterize the rainfall data and Thiessen method was used to calculate monthly average flowrate at site. Application of these results, primary design specifications such as design flowrate, annual average load factor and utility factor, annual average hydropower density and annual electric energy production were estimated and discussed for surveyed site located in Daigi-ri, Kangwon province. And performance characteristic model of small hydro-power plant was applied to estimate these specifications.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2009년도 춘계학술대회 논문집
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• pp.235-238
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• 2009

It is necessary to estimate empirical constants in order to predict the monthly mean daily global radiation on a horizontal surface in the developing areas for alternative energy. Therefore many different equations have proposed to evaluate them for certain areas. In this work a new correlation has been made to predict the solar radiation for any areas over Korea by calculating the regression models taking into account latitude, percentage of possible sunshine, and cloud cover. From the results, the single linear equation proposed by using percentage of possible sunshine method shows reliable results for estimating the global radiation with average annual deviation of -3.1 to +0.6 % from measured values

• 한국태양에너지학회 논문집
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• 제23권1호
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• pp.39-47
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• 2003

In order to test the predictability of the wind resource assessment computer code in our country a field experiment and prediction by WAsP has been compared. A field experiment has been performed in Songdang province, Jeju island, composed of sea, inland flat terrain, a high and a low slope craters. For this experiment, four meteorological towers have been installed at seashores, inland flat and on a crater. Wind resource at one site is predicted by WAsF with the meteorological data at the other three sites. The comparisons show that the WAsP preditions give better agreement with experimental data by adjusting the roughness descriptions.

• 한국태양에너지학회:학술대회논문집
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• 한국태양에너지학회 2008년도 추계학술발표대회 논문집
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• pp.300-305
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• 2008

Using WindPRO that was software for windfarm design developed by EMD from Denmark, wind resources for the western Jeju island were analyzed, and the performance of WindPRO prediction was evaluated in detail. The Hansu site and the Yongdang site that were located in coastal region were selected, and wind data for one year at the two sites were analyzed using WindPRO. As a result, the relative error of the Prediction for annual energy Production and capacity factor was about ${\pm}20%$. For evaluating wind energy more accurately, it is necessary to obtain lots of wind data and real electric power production data from real windfarm.