• 한국신재생에너지학회:학술대회논문집
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• 2007.06a
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• pp.292-294
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• 2007

본 논문에서는 MW급 집중배치형 태양광 발전시스템 설치 전 기상청 기상대 기후자료를 Solar Pro 시뮬레이터에 적용하여 최적의 발전 Site를 선정하는 방법을 소개하고, 그 결과를 보여준다. 국내 지역별로 일사량 및 지역 기후 특성에 따라 태양광 발전의 발전량이 차이가 남에 따라 태양광발전 사업 전 반드시 거쳐야 할 단계이다. 이를 토대로 MW급 태양광 발전시스템 설치 시 각 지역별 경제성 차이도 알아 볼 수 있다.

• Journal of the Speleological Society of Korea
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• no.64
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• pp.13-26
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• 2004

In this paper, it was studied to investigate and apply the optimal method for well-management of cave with use of solar-cell power source and electro-luminescent tape of illuminating equipment of flat light - lamp for build up the pro-environmental management system of the long way cave on the mountain or the others.

• Journal of the Korean Solar Energy Society
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• v.36 no.2
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• pp.9-17
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• 2016

In order to examine how accurately the wind farm design software, WindPRO and Meteodyn WT, predict annual energy production (AEP), an investigation was carried out for Seongsan wind farm of Jeju Island. The one-year wind data was measured from wind sensors on met masts of Susan and Sumang which are 2.3 km, and 18 km away from Seongsan wind farm, respectively. MERRA (Modern-Era Retrospective Analysis for Research and Applications) reanalysis data was also analyzed for the same period of time. The real AEP data came from SCADA system of Seongsan wind farm, which was compare with AEP data predicted by WindPRO and Meteodyn WT. As a result, AEP predicted by Meteodyn WT was lower than that by WindPRO. The analysis of using wind data from met masts led to the conclusion that AEP prediction by CFD software, Meteodyn WT, is not always more accurate than that by linear program software, WindPRO. However, when MERRA reanalysis data was used, Meteodyn WT predicted AEP more accurately than WindPRO.

• Journal of the Korean Solar Energy Society
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• v.29 no.2
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• pp.22-30
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• 2009

In order to clarify predictive accuracy for the wind resource predicted by running WindPRO(Ver. 2.5) which is software for wind farm design developed by EMD from Denmark, an investigation was carried out at the northeast region of Jeju island. The Hangwon, Susan and Hoichun sites of Jeju island were selected for this study. The measurement period of wind at the sites was for one year. As a result, when the sites had different energy roses, though the two Wind Statistics made by STATGEN module were used for the prediction, it was difficult to exactly predict the energy rose at a given site. On the other hand, when the two Wind Statistics were used to predict the average wind speed, the wind power density and the annual energy production, the relative error was under ${\pm}20%$ which improved more than that when using only one Wind Statistics.

• 한국태양에너지학회:학술대회논문집
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• 2008.11a
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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.

• Journal of Korean Society of Water and Wastewater
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• v.30 no.5
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• pp.553-559
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• 2016

There has been increasing global interest in the environmental pollution problems produced by fossil fuel consumption and greenhouse gas emissions. In order to tackle these issues, new renewable energy such as solar, wind, bio gas, fuel cell and pressure retarded osmosis(PRO) have been developed extensively. Among these energy sources, PRO is one of the salinity gradient power generation methods. In PRO, energy is obtained by the osmotic pressure generated from the concentration difference between high and low concentration solutions separated by a semipermeable membrane. The development for high power density PRO membranes is imperative with the purpose of commercialization. This study investigates development of thin film composite PRO membrane and spiral wound module for high power density. Also, the influence of membrane backing layer on power density was identified, and the characteristic factors of PRO membranes was determined. Different backing layers were used to improve power density. As expected, the PRO membrane with more porous backing layer showed higher power density.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1396-1397
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• 2011

The world has problem of petrifaction energy exhaustion and environment pollution. We are looking up various solution plans regarding this problem. Solar power is one of the solution to solve the energy shortage problem. But solar power is affected by insolation. So we study tracking solar power system for the generation of electricity more. In this paper, we compared fixed solar power system with horizontal and vertical tracking solar power system. Two method were on he Maximum Power Point(MPP) using Solar pro.

• 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.

• Journal of the Korean Solar Energy Society
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• v.32 no.6
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• pp.1-10
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• 2012

The annual energy production of Gangwon wind farm was predicted for three consecutive years of 2007, 2008 and 2009 using commercial programs, WindPRO and WindSim which are known to be used the most for wind resource prediction in the world. The predictions from the linear code, WindPRO, were compared with both the actual energy prediction presented in the CDM (Clean Development Mechanism) monitoring report of the wind farm and also the predictions from the CFD code, WindSim. The results from WindPRO were close to the actual energy productions and the errors were within 11.8% unlike the expectation. The reason for the low prediction errors was found to be due to the fact that although the wind farm is located in highly complex terrain, the terrain steepness was smaller than a critical angle($21.8^{\circ}$) in front of the wind farm in the main wind direction. Therefore no flow separation was found to occur within the wind farm. The flow separation of the main wind was found to occur mostly behind the wind farm.

• Journal of the Korean Solar Energy Society
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• v.30 no.4
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• pp.43-48
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• 2010

The performance of photovoltaic systems could be affected by various factors including installing conditions of modules, and their own efficiencies of solar cells and inverters. The installing conditions of a photovoltaic system including array types, tilting angles, azimuth, locations, quantities of sunshine, optimum angles of inclination and separated distance are analyzed using the SolarPro & Minitep SW simulation program, inorder to set up the installing conditions for improving system performance. The result from the simulation of the 500kWp PV system of Kochang with optimal installing conditions compared with normal conditions shows that the capacity factor has been increased from 11.02% to 12.06%.