• Bulletin of the Korean Space Science Society
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• 1994.09a
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• pp.10-10
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• 1994

• Journal of Energy Engineering
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• v.20 no.4
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• pp.353-357
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• 2011

An embedded two-axis solar tracking system was developed by using AVR micro controller for enhancing solar energy utilization. The system consists of an Atmega128 micro controller, two step motors, two step drive modules, CdS sensors, GPS module and other accessories needed for functional stability. This system is controlled by both an astronomical method and an optical method. Initial operation is performed by the result from the astronomical method, which is followed by the fine controlled operation using the signals from Cds sensors. The GPS sensor generates UTC, longitude and latitude data where the solar tracker is installed. A database of solar altitude, azimuth, and sunrise and sunset times is provided by UART (Universal Asynchronous Receiver/Transmitter).

• KIPE Magazine
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• v.13 no.4
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• pp.28-32
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• 2008

Power Supply Designer는 부품설계, large-sign -al 시뮬레이션, feedback control design 그리고 소신호 해석 등 완전한 스위칭 전원공급장치(SMPS)의 설계를 위한 시뮬레이션 프로그램입니다. 또한 최종 정확도 모델링 기술을 사용한 전류-모드 시뮬레이션, CCM & DCM 컨버터 시뮬레이션, loop gain이 포함된 컨트롤 시스템의 해석, 필터 디자인 및 해석, 모든 주요 부품에 대한 파워손실 측정 및 스트레스 해석을 하기 위한 빠르고 순환적인 시뮬레이션과 시뮬레이션시 자주 발생하는 Convergence 에러를 최소화할 수 있는 Convergence 마법사 기능을 수행할 수 있습니다. Power Supply Designer는 ICAP/4 Power Delu -xe라는 시뮬레이터와 인덕터 및 트랜스포머를 설계할 수 있는 Magenetics Designer가 패키지로 구성이 되어 있는 제품입니다. Solar Pro는 일사량, 온도, 각 지역의 위치정보에 대한 데이터와 태양광모듈에 대한 데이터를 고려하여 그림자 분석, I-V계산, 발전량계산, 경제성분석을 제공하는 솔루션입니다. 또한 그림자의 궤적과 발전량을 계산하여 애니메이션으로 볼 수가 있고 경제성을 포함한 시스템 성능을 표시할 수 있기 때문에 태양광 설치 고객에게 태양광 발전 시스템 자체에 대한 이해와 설득력 있는 프리젠테이션을 할 수가 있습니다.

• The Bulletin of The Korean Astronomical Society
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• v.36 no.2
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• pp.130.2-130.2
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• 2011

지상의 관측소에서 특정 인공위성을 찾아내기 위해서는 위성의 정밀궤도 계산이 필요하다. 궤도상의 인공위성의 위치는 시간에 따라 계속 변하므로 이러한 위성의 위치를 실시간으로 추적하기 위해서는 컴퓨터를 이용한 계산이 필수적이다. 정밀한 계산 결과를 얻기 위하여 태양과 지상 관측소의 위치는 Astronomical Almanac과 지구 타원체 모델을 이용하여 계산 하였다. 인공위성의 궤도는 미공군 북미방공사령부(NORAD)에서 발표하는 TLE를 초기값으로 이용하여 J2 섭동효과를 포함한 위성의 위치 및 속도의 변화를 계산하여 SkyView로 나타내었다. 이렇게 나타낸 SkyView의 결과를 실제 위성의 궤적과 비교하여 위성의 궤도를 검증하였으며, 시간에 따른 위성의 광도 곡선 변화 계산 루틴을 작성하여 실제 위성을 찾아내기 위한 기초자료로 활용이 가능하도록 하였다. 모든 계산을 위한 프로그램을 Visual Studio.net 2010 환경에서 C++ 언어를 이용하여 작성하였으며, 결과를 나타내기 위하여 Nokia 사의 Cross Platform 라이브러리인 Qt를 이용하여 UI 제작 및 Visualization을 수행하였다. Qt 라이브러리는 C++ 언어를 기반으로 작성된 플랫폼 독립적인 GUI 라이브러리로써 MS Windows, Linux, MacOS 환경에서 사용이 가능하다. 이를 통해 운영체제에 관계없이 모든 컴퓨터 환경에서 동일한 유저 인터페이스를 이용하여 계산을 할 수 있다. 본 연구는 향후 우주물체탐색에 있어 독자적인 운영을 위한 프로그램으로 활용할 예정이다.

• ETRI Journal
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• v.14 no.1
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• pp.1-14
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• 1992

정지궤도에 위치한 위성에 있어서 지구에 의한 식은 일년에 두 기간에 걸쳐서 정기적으로 발생한다. 반면에 달에 의한 식은 궤도의 위치에 따라 불규칙적으로 발생하다. 식이 일어날 때 위성은 태양을 이용한 전력생산을 할 수 없게 되기 때문에 식시간에 대한 예측은 정지궤도상의 통신위성 또는 방송위성을 운용하는데 있어서 매우 중요하다. 본 연구에서는 정지위성을 공칭위치에 고정시켜 놓고, 적도 좌표계에서 태양과 달의 시간에 따른 위치를 계산함으로써 지구와 달에 의한 식을 예측하였다. 또한 정지위성의 위치유지 각 한계점에서의 식을 예측해서 궤도위치에 따른 식시간과 식깊이를 비교해 보았다. 정지궤도상의 위성은 1995년에 발사될 동경 $116^{\circ}$의 무궁화 위성으로 하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.3
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• pp.556-563
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• 2020

Most of a BIPVS (Building Integrated Photovoltaic System) is installed on the rooftop or wall of a building. Therefore, the main factor to consider for selecting the installation site is the shadow effects produced by the surrounding buildings. On the other hand, when the photovoltaic was installed on soundproof walls, shadow effects were produced by not only surrounding buildings but also the surrounding trees. Therefore, a different data model and algorithm with the BIPVS case are essential for proper installation sites selection of a SIPVS (Soundproof wall Integrated Photovoltaic System). This paper deals with the DSM (Digital Surface Model)-based proper installation site analysis for SIPVS. First, the solar incident and altitude angles of the installation candidate sites (solar panel) during the year were calculated. Second, the shadow effects (shadowed or unshadowed) were determined for the candidate sites at each time with the DSM. Third, the amount of solar radiation was calculated with the incident angle for the candidate sites at an unshadowed period. The proper installation site of the SIPVS could then be selected by comparing the accumulated annual solar radiation for each candidate. The proposed algorithm was implemented as a prototype (Java program). From the experiment, the order of the installation suitability was determined among the nine candidates. The proposed algorithm could be used for proper BIPVS installation site analysis aimed at the lower part of a building and calculation of the expected power production.

• Journal of Digital Convergence
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• v.12 no.3
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• pp.243-248
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• 2014

Recently, solar energy is expanding to combination of computing in real time by tracking the position of the sun to estimate the angle of inclination and make up freshly correcting a part of the solar radiation. Solar power is need that reliably linked technology to power generation system renewable energy in order to efficient power production that is difficult to output predict based on the position of the sun rise. In this paper, we analysis of prediction model for solar power generation to estimate the predictive value of solar power generation in the development of real-time weather data. Photovoltaic power generation input the correction factor such as temperature, module characteristics by the solar generator module and the location of the local angle of inclination to analyze the predictive power generation algorithm for the prediction calculation to predict the final generation. In addition, the proposed model in real-time national weather service forecast for medium-term and real-time observations used as input data to perform the short-term prediction models.

• Solar Energy
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• v.18 no.4
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• pp.87-94
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• 1998

This work presents a method to compute the sun position(azimuth and elevation), sunrise and sunset times. Accurate computation of sun position is very important to the precise tracking of the sun for the solar concentrator, which enables the maximum collection of solar energy. Methods to compute the sun position are available in the literature already. However most of them do not have accuracy verification, thus makes hard in selecting the most accurate sun position computation method. We first select the most accurate sun position computation method among the methods presented in the literature by comparing the computed sun position with Korean Almanac of Korea Astronomy Observatory. Then a procedure to compute the sunrise and sunset times is presented. Computed sun position shows $0.02^{\circ},\;0.6^{\circ}$ and one minute differences in azimuth, elevation and sunrise/sunset times respectively compared with Korean Almanac.

• Proceedings of KOSOMES biannual meeting
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• 2006.11a
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• pp.181-186
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• 2006

Geostationary Orbit satellite, unlike other sun-synchronous polar-orbit satellites, will be able to take a picture of a large region several times a day (almost with everyone hour interval). For geostationary satellite, the target region is fixed though the location of sun is changed always. However, Sun-synchronous polar-orbit satellites able to take a picture of target region same time a everyday. Thus Ocean signal is almost same. Accordingly, the ocean signal of a given target point is largely dependent on time. In other words, the ocean signal detected by geostationary satellite sensor must translate to the signal of target when both sun and satellite are located in nadir, using another correction model. This correction is performed with a standardization of signal throughout relative geometric relationship among satellite-sun-target points. This relative ratio called bidirectional factor. To find relationship between time and $[L_w]_N$/Bidirectional Factor differences, we are calculate solar position, geometry parameters. And reflectance, total radiance at the top of atmosphere(). And water leaving radiance, normalized water leaving radiance. And calculate bidirectional factor, that is the ratio of $[L_w]_N$ between target region and aiming the point. Then, we can make the bidirectional factor lookup table for one year imaging. So, we suggested for necessary to simulation experiment bidirectional factor in more various condition(wavelength and ocean/air condition).

• Journal of Cadastre & Land InformatiX
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• v.48 no.1
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• pp.5-14
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• 2018

Recently the construction of solar plant showed a steady growth in influence of renewable energy policy. It is very important to determine the optimal location and aspect of solar panel using analyzed data of solar radiation to solar plant area beforehand. This study analyzed solar radiation in solar plant area using DEM acquired from UAV geospatial information. Mean solar radiation of 2017 was calculated as $1,474,466W/m^2$ and total solar radiation of 2017 considering solar plant area showed $33,639MW/m^2$ on analyzed result. It is important to analyze monthly solar radiation in aspect of maintenance works of solar plant. Monthly solar radiation of May to July was calculated over $160,000W/m^2$ and that of January to February and November to December showed under $80,000W/m^2$ in monthly solar radiation analysis of solar plant area. Also this study compared with solar radiation being calculated from UAV geospatial information and that of National Institute of Meteorological Sciences. And mean solar radiation of study area showed a little high in comparison with whole country data of National Institute of Meteorological Sciences, because the 93.7% of study area was composed of south aspect. Therefore this study can be applied to calculate solar radiation in new developed solar plant area very quickly using UAV.