• 한국지리정보학회지
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• 제15권3호
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• pp.148-157
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• 2012

최근 에너지의 무분별한 소비에 따른 유한에너지 부족으로 인하여 지구온난화 발생 등 지구환경이 변화함으로써 이에 대한 해결방법으로 친환경 에너지자원 확보 및 신재생에너지 자원량에 대한 국민들의 관심이 증대하고 있다. 본 연구에서는 최근 각광받고 있는 공간정보기술과 신재생 에너지인 태양광 에너지 분야에서의 활용 가능성을 타진하고자 LiDAR 데이터를 이용한 태양광에너지 자원도를 제작하였다. 연구 대상지는 경상북도에 위치하고 있는 울릉군의 울릉도를 선정하였다. 울릉군 지역의 항공 라이다(LiDAR : Light Detection And Ranging) 신규 촬영 및 자료처리를 통하여 1m급 등고선을 생성하였으며, 이를 활용하여 1m급 수치표고모델(Digital Elevation Model) 자료를 구축하였다. DEM 자료를 이용하여 태양 고도 및 방위각에 따른 태양광 입사범위를 파악하여 태양광에너지 평가 기술에 활용하였으며, 1m급의 정밀하고 정확한 공간해상도 자료를 기반으로 태양광에너지 자원도를 제작함으로써 보다 정확한 정보 반영과 과학적이고 합리적인 신재생에너지 자원량 평가 방법 제시가 가능할 것으로 기대된다.

• 한국태양에너지학회 논문집
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• 제40권5호
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• pp.13-22
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• 2020

Day ahead forecast is necessary for the electricity market to stabilize the electricity penetration. Numerical weather prediction is usually employed to produce the solar irradiance as well as electric power forecast for longer than 12 hours forecast horizon. Korea Meteorological Administration operates the UM-LDAPS model to produce the 36 hours forecast of hourly total irradiance 4 times a day. This study interpolates the hourly total irradiance into 15 minute instantaneous irradiance and then compare them with observed solar irradiance at four ground stations at 1 minute resolution. Numerical weather prediction model employed here was produced at 00 UTC or 18 UTC from January to December, 2018. To compare the statistical model for the forecast horizon less than 3 hours, smart persistent model is used as a reference model. Relative root mean square error of 15 minute instantaneous irradiance are averaged over all ground stations as being 18.4% and 19.6% initialized at 18 and 00 UTC, respectively. Numerical weather prediction is better than smart persistent model at 1 hour after simulation began.

• 한국태양에너지학회 논문집
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• 제40권4호
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• pp.1-11
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• 2020

The Journal of the Korean Solar Energy Society is the first journal in South Korea that adopts wind energy as one of its subjects. Since 2000, more than 140 papers on wind energy have been published in the journal, which accounts for 8.5% of the total publication. However, in recent years, the number of published papers on wind energy has been decreasing steadily, and a reason for this decline is the significant dependence on a few specific institutions and authors. In this study, wind energy subjects were classified using the frequency analysis of the subject words extracted from the title, keywords, and abstract of wind energy papers using the text mining technique. In addition, the Korea Citation Index was used to perform quantitative level evaluation by subject and institution and to analyze the trends and characteristics of the wind energy field. Therefore, it was identified that in terms of the number of publications and citations, the main subject areas were resource/micrositing and policy/potential.

• 한국태양에너지학회 논문집
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• 제39권3호
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• pp.67-79
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• 2019

The reliable Typical Meteorological Year (TMY) data, sometimes called Test Reference Year (TRY) data, are necessary in the feasibility study of renewable energy installation as well as zero energy building. In Korea, there are available TMY data; TMY from Korea Institute of Energy Research (KIER), TRY from the Korean Solar Energy Society (KSES) and TRY from Passive House Institute Korea (PHIKO). This study aims at examining their characteristics by using Principle Component Analysis (PCA) at six ground observing stations. First step is to investigate the annual averages of meteorological elements from TMY data and their standard deviations. Then, PCA is done to find which principle components are derived from different TMY data. Temperature and solar irradiance are determined as the main principle component of TMY data produced by KIER and KSES at all stations whereas TRY data from PHIKO does not show similar result from those by KIER and KSES.

• 한국태양에너지학회 논문집
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• 제25권3호
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• pp.53-60
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• 2005

Energy resource is very important to the survival in the polar region. Wind energy, which is one of renewable energy, can guarantee the clean, inexhaustible, natural resource in the polar region. It is essential to assess the wind energy resource of the site where wind turbines will be installed. In the present study, the wind characteristics of the antarctic King Sejong station are analysed from its meteorological observation data. The wind resource of the Sejong station is also simulated and predicted using WAsP program. From the results, the Sejong station has very excellent wind resource and the site where small wind turbines will be installed is determined.

• 한국태양에너지학회 논문집
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• 제39권2호
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• pp.71-80
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• 2019

Daily ahead forecast is necessary for the electricity balance between load and supply due to the variability renewable energy. Numerical weather prediction is usually employed to produce the solar irradiance as well as electric power forecast for more than 12 hours forecast horizon. UM-LDAPS model is the numerical weather prediction operated by Korea Meteorological Administration and it generates the 36 hours forecast of hourly total irradiance 4 times a day. This study attempts to evaluate the model performance against the in situ measurements at 37 ground stations from January to May, 2013. Relative mean bias error, mean absolute error and root mean square error of hourly total irradiance are averaged over all ground stations as being 8.2%, 21.2% and 29.6%, respectively. The behavior of mean bias error appears to be different; positively largest in Chupoongnyeong station but negatively largest in Daegu station. The distinct contrast might be attributed to the limitation of microphysics parameterization for thick and thin clouds in the model.

• Journal of Biosystems Engineering
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• 제40권3호
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• pp.186-192
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• 2015

Background: Various solar energy collecting systems have been developed and analyzed for agricultural applications. They include solar thermal and electric devices such as solar crop dryers, solar water pumps, solar greenhouse heating, ventilation for livestock, solar aeration pumps, solar electricity, and many more. Purpose: This review provides the current status of research and development in the field as well as the solar energy systems that are currently in use in the agriculture sector across the globe. Review: Solar energy is the largest and cheapest energy resource on earth; one hour of solar radiation exceeds the complete global energy consumption in one year. The potential annual total solar radiation in South Korea is $3.58-5.4 kWh/m^2/day$. The available solar energy is sufficient for agricultural applications across the entire country. Conclusion: The scope of solar energy utilization in agricultural machinery engineering in South Korea and in other countries is promising.

• 항공우주산업기술동향
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• 제7권2호
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• pp.33-39
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• 2009

1968년 미국의 피터 글레이저 박사가 정지궤도에 위성을 띄워 태양 에너지를 직접 받아 전기로 변환하여 지구로 송전하는 거대한 태양광위성의 개념을 소개한 바 있다. 이에 대해 미국, 일본, 유럽 등에서는 우주태양광 발전을 미래의 새 에너지원으로 주목하여 활발한 기초 연구와 개념 설계 그리고 최근에는 본 사업의 실현을 위한 구체적인 방안까지 발표하고 있는 실정이다. 현재 우주태양광발전 기술은 계속 개발 중으로 미국과 일본에 서는 2030 년경에 실용화할 계획으로 있다. 본 논문에서는 그린에너지와 새 에너지원으로 주목받고 있는 우주 태양광발전에 대한 선진국의 기술 동향 및 국내의 추진 전략에 대하여 기술하였다.

• 한국태양에너지학회 논문집
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• 제26권4호
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• pp.31-38
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• 2006

The national goal of wind energy dissemination has to be determined rationally based on technically available wind resource potential. For an accurate and scientific estimation of wind resource potential, a wind map is requisite. This paper introduces the national wind map of Korea established by numerical wind simulation. Therefore, quantification of national wind resource potential is now possible and is anticipating to be used as a core index for policy and strategy building of wind energy dissemination and technology development.

• 한국태양에너지학회 논문집
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• 제40권3호
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• pp.43-52
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• 2020

By blocking irradiance, shadows cast by high-rise buildings in urban areas can reduce the power generation efficiency of PV panels installed on low-rise buildings. As the conventionally installed PV panel is not suitable for the urban environment, which is unfavorable for power generating, a more radical solution is required. This study aims to help solve this problem by estimating the optimal PV panel angle. Using the proposed method, the optimal PV angle was calculated by considering shadows that could be cast by nearby buildings throughout the year, and the correlation between solar shading and elevation angle was discovered based on the calculated data.