• 융복합기술연구소 논문집
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• 제9권1호
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• pp.31-36
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• 2019

After 30 years of KKP model analysis and extended 30 years of accuracy analysis, the unique correlation and various problems between measured horizontal surface insolation and measured weather data are found in this paper. The KKP model's 10yrs daily total horizontal surface insolation forecasting was averaged about 97.7% on average, and the forecasting accuracy at peak times per day was about 92.1%, which is highly applicable regardless of location and weather conditions nationwide. The daily total solar radiation forecasting accuracy of the modified KKP cloud model was 98.9%, similar to the KKP model, and 93.0% of the forecasting accuracy at the peak time per day. And the results of evaluating the accuracy of calculation for 30 years of KKP model were cloud model 107.6% and cloud model 95.1%. During the accuracy analysis evaluation, this study found that inaccuracies in measurement data of cloud cover should be clearly assessed by the Meteorological Administration.

• 농업생명과학연구
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• 제45권4호
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• pp.135-141
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• 2011

본 연구에서는 주간동안 온실 내에서 발생되는 잉여 태양에너지를 분석하고, 또한 잉여 태양에너지의 적정 축열 시스템 설계에 필요한 기초자료를 제공할 목적으로 수행하였다. 분석에 이용된 기상자료는 표준기상년 데이터로서 이용하여 국내 주요 지역을 대상으로 온실 형태별로 잉여 태양에너지를 분석하였을 뿐만 아니라 소요 난방에너지 등도 분석 및 검토하였다. 이상의 결과를 요약하면 다음과 같다. 9개 지역을 대상으로 지역별 잉여 태양에너지를 대해 분석한 결과, 난방에너지 대비 잉여 태양에너지 비율은 온실 형태별로 각각 약 212.0~228.0%로서 제주가 가장 높게 나타났다. 그 다음으로 부산, 광주, 진주, 대구, 대전, 전주, 수원, 및 대관령 순으로 나타났다. 그리고 온실 형태에 관계없이 몇 몇 지역을 제외하면 잉여 태양에너지만으로 소요 난방에너지를 거의 대체할 수 있을 것으로 판단되었다.

• Current Photovoltaic Research
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• 제5권1호
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• pp.38-42
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• 2017

PV system output is determined according to the weather conditions, the azimuth and tilt angle. Weather conditions are changing every moment and it seems to vary according to the daily, monthly, and annual basis. The azimuth and tilt angle is decided along the site conditions for the PV system installation. This paper analyzed the PV system output through the changing the weather conditions, the azimuth, and tilt angle. We compared the TMY data and analysis of the two major weather institutes which are KMA and METEONORM. PV system output trend were analyzed by changing the azimuth and tilt angle. We used simulation tool, which is named PVsyst for the entire PV system analysis.

• 융복합기술연구소 논문집
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• 제7권1호
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• pp.11-14
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• 2017

At present, the Korea Meteorological Administration (KMA) measures the horizontal solar irradiation with time in 33 areas. Among these measured data, this study analyzed the tendency of applying the new analysis method by using the horizontal solar irradiation with the time which was measured in 18 regions across the country for ten years from 2005 to 2014. The method applied to the analysis is to compare the value of the annual total horizontal solar irradiance for one year with the value of that for the previous year of each year, and give +1 when it is higher than the reference ratio, 0 if it is within the reference ratio, and -1 when it is lower than the reference ratio. The characteristics of each region and nationwide characteristics according to the change of each reference ratio were evaluated and analyzed. Through the analysis results, the analysis method applied in this study could be well describe the characteristics of the solar irradiance during some years.

• 전기학회논문지
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• 제61권5호
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• pp.683-689
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• 2012

Photovoltaic(PV) system is one of power generation systems. Solar light in PV system is like the fuel of the car. The quantity of electricity generation, therefore, is fully dependent on the available quantity of solar light on the system of each site. If a utility can predict the solar power generation on a planned site, it may be possible to set up an appropriate PV system there. It may be also possible to objectively evaluate the performances of existing solar systems. Based on the theories of astronomy and meteorology, in this paper, Perez model is simulated to estimate the available quantity of solar lights on the prevailed photovoltaic systems. Consequently the conditions for optimal power generation of each PV system can be analyzed. And the maximum quantity of power generation of each system can be also estimated by applying assumed efficiency of PV system. Perez model is simulated in this paper, and the result is compared with the data of the same model of Meteonorm. Simulated site is Daejeon, Korea with typical meteorological year(TMY) data of 1991~2010.

• 한국태양에너지학회 논문집
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• 제39권2호
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• pp.33-43
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• 2019

In this study, reflecting long-term climate characteristics, we analyzed electricity generation and generation characteristics of 3kWp PV system, which was semi-integrated with air duct behind. Using PVsyst as a simulation analysis tool, we inputted "National reference standard weather data" of 16 regions as a typical climatic data. The result is summarized as follows: First, the national average annual electricity generation was 1,312 kWh/kWp (StDev, ${\sigma}=71$). It was most abundant in Mokpo with 1,434 kWh/kWp, which was average 21% greater than the lowest with 1,165 kWh/kWp in Seoul and 1,197 kWh/kWp in Jeju. National average daily generating time based on STC was 3.6 hours (${\sigma}=0.43$), and that of Mokpo and Seoul was 3.9 and 3.2 hours respectively. Second, Jeju showed the great difference of annual monthly generation by month (annual average = 99.7 kWh/kWp, ${\sigma}=25.5$), while Jinju showed the smallest difference (annual average = 115.5 kWh/kWp, ${\sigma}=10.6$). Generation in Jeju was at the largest in April with 132.2 kWh/kWp, which was 2.3 times greater than the lowest 55.2 kWh/kWp in January. However, generation in Jinju was at the largest in March with 129.3 kWh/kWp, which was only 1.3 times greater than the lowest 101.1 kWh/kWp in June. Third, the annual average PR was the highest in Incheon with 85.8% and the lowest in Jeju with 83.2%. PR of Mokpo was 84.3%, which was lower than that of national average.

• 생물환경조절학회지
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• 제22권2호
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• pp.91-99
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• 2013

본 연구는 주간동안 온실 내에서 발생되는 잉여 태양에너지 축열 시스템 설계에 필요한 기초자료를 제공할 목적으로 확보한 표준기상년 데이터를 이용하여 벤로형 온실을 대상으로 잉여 태양에너지를 분석하였다. 파프리카의 경우, 지역별 난방부하는 제주, 진주 및 대관령지역에 대해 각각 약 1,107.8GJ, 1,010.0GJ 및 3,118.5GJ로 분석되었다. 잉여 태양에너지의 경우, 제주지역 1,845.4GJ, 진주지역 1,881.8GJ, 대관령지역은 2,061.8GJ로 나타나 대관령지역이 제주 및 진주지역에 비해 각각 11.7% 및 9.6% 정도 크게 나타났다. 국화의 경우, 지역별 난방부하는 제주지역 1,202.5GJ, 진주지역 1,042.0GJ, 대관령지역은 3,288.6GJ 정도인 것으로 분석되었으며 지역별 차이는 파프리카의 경우와 유사였다. 잉여 태양에너지는 제주, 진주 및 대관령지역에 대해 각각 1,435.2GJ, 1,536.2GJ, 및 1,734.6GJ로 나타나 대관령 지역이 제주 및 진주지역에 비해 각각 20.9% 및 12.9% 정도 크게 나타났다. 파프리카를 재배하는 경우가 국화에 비해 상대적으로 지역에 관계없이 난방에너지가 차지하는 비중은 적고 잉여 태양에너지는 많은 경향이 있음을 알 수 있다. 또한 대관령지역을 제외하면 잉여 태양에너지가 난방에 소요되는 에너지보다 많은 것을 알 수 있다. 소요 난방에너지는 지역 및 재배작물별로 다소 차이는 있지만, 오이가 일반적으로 많게 나타났으며, 그 다음으로 국화 및 파프리카 순이었다. 잉여 태양에너지는 대체적으로 파프리카, 오이 및 국화 순으로 많게 나타났다.