영농형 태양광 발전 솔라쉐어링에 따른 하부 일사량 변화의 해석 및 분석

이상익 ( Lee Sang-ik ),최진용 ( Choi Jin-yong ),성승준 ( Sung Seung-joon ),이승재 ( Lee Seung-jae ),이지민 ( Lee Jimin ),최원 ( Choi Won ) 한국농공학회 2020 한국농공학회논문집 Vol.62 No.5

Solar-sharing, which is an agricultural photovoltaic system installing solar panels on the upper part of crop growing field, has especially drawn attention. Because paddy fields for cultivating crops are large flat areas, there have been various attempts to utilize solar energy for solar photovoltaic as well as growth of crops in agriculture. Solar-sharing was first proposed in Japan, and has been actively studied for optimization and practical uses. The domestic climate differs from the climate conditions in which the solar-sharing has been widely studied, therefore, it is required to develop the solar-sharing technology suitable for the domestic climate. In this study, a simulation model was developed to analyze the change of solar radiation resulted from the solar-sharing installation. Monthly solar illumination intensity and the change of illumination intensity according to the various conditions of solar panel installation were simulated. The results of monthly illumination analysis differed by altitude of the sun, which was related to season. In addition, it was analyzed that the monthly illumination decreased by up to 42% due to solar-sharing. Accordingly, it is recommended that solar-sharing should be installed as a way to maximize the efficiency of solar photovoltaic system while minimizing the decrease in solar radiation reaching the crops.

Assessment of Low Intensity Solar Radiation Susceptibility in 20 Wheat Varieties under Field Conditions Grown in Indo-Gangetic Plains of India

Usha Mina,S.D. Singh,B. Singh,S. Tiwari,Deepak Singh,Pranav Kumar 한국작물학회 2018 Journal of crop science and biotechnology Vol.21 No.4

Wheat productivity declines under agro-ecosystems and areas exposed to aerosols due to decline in quality and quantity of solar radiation. Identification of low light-tolerant wheat varieties (Triticum sps.) will help in enhancing the sustainability and productivity of the agroforestry systems as well as areas exposed to aerosol pollution. The field study was conducted to assess the effects of low intensity solar radiation (LR) on 20 wheat varieties in terms of growth, stay green, gaseous exchange, yield attributes, and tolerance indices. Results indicate the increase in plant height and leaf area, reduction in photosynthesis (Pn), stomatal conductance (gs), and transpiration (Tr) in all the varieties grown under LR compared to normal radiation. The varieties, K68 and HD2643, exhibited maximum stay green compared to other varieties. LR caused reduction in biological (35%) and economic (46%) yield of wheat. Among the indices, mean productivity (MP), geometric mean (GM), stress tolerance index (STI), and yield index (YI) were positively correlated (P ≤ 0.05) with grain yield under LR (Ys) and NR (Yp). Cluster analysis indicated that varieties – HD2643, K68, Kalyansona, and C306 varieties were most LR tolerant, while DL1266-1, DL1266-2, and Moti were moderately tolerant and rest of the varieties exhibited LR susceptibility.

Assessment of Low Intensity Solar Radiation Susceptibility in 20 Wheat Varieties under Field Conditions Grown in Indo-Gangetic Plains of India

Usha Mina,S.D. Singh,B. Singh,Deepak Singh,S. Tiwari,Pranav Kumar 한국작물학회 2019 Journal of crop science and biotechnology Vol.22 No.3

Wheat productivity declines under agro-ecosystems and areas exposed to aerosols due to decline in quality and quantity of solar radiation. Identification of low light-tolerant wheat varieties (Triticum sps.) will help in enhancing the sustainability and productivity of the agroforestry systems as well as areas exposed to aerosol pollution. The field study was conducted to assess the effects of low intensity solar radiation (LR) on 20 wheat varieties in terms of growth, stay green, gaseous exchange, yield attributes, and tolerance indices. Results indicate the increase in plant height and leaf area, reduction in photosynthesis (Pn), stomatal conductance (gs), and transpiration (Tr) in all the varieties grown under LR compared to normal radiation. The varieties, K68 and HD2643, exhibited maximum stay green compared to other varieties. LR caused reduction in biological (35%) and economic (46%) yield of wheat. Among the indices, mean productivity (MP), geometric mean (GM), stress tolerance index (STI), and yield index (YI) were positively correlated with grain yield under LR (Ys) and NR (Yp). Cluster analysis indicated that varieties-HD2643, K68, Kalyansona, and C306 varieties were most LR tolerant, while DL1266-1, DL1266-2, and Moti were moderately tolerant and rest of the varieties exhibited LR susceptibility.

부영영화해역의 내부생산효율에 대한 계절변동예측

이인철(IN-CHEOL LEE) 한국해양공학회 2001 韓國海洋工學會誌 Vol.15 No.4

The primary production of phytoplanktons produces organic matter in high concentration in eutrophicated Hakata Bay, Japan, even during the winter season in spite of low water temperature. Phytoplanktons are considered to have any biological capabilities to keep activities of photosynthesis under the unfavorable conditions, and this affects water quality of the bay. In this study, seasonal variations in primary production efficiency were predicted by using a simple box-type ecosystem model, which introduced the concept of efficiency for absorption of solar radiation energy in relation to growth of phytoplanktons under the low solar radiation intensity. According to the simulation result of primary production, it was indicated that the efficiency of primary production in winter is higher than that in summer. It was suggested that the organic pollution comes from dissolved organic carbon (DOC) throughout the year, DOC of which is originated from the primary production of phytoplanktons on biological response of the seasonal variation of ambient conditions.

Research on the Prediction of Solar Energy Generation based on Measured Environmental Data

Guojing Zhang,Xiaoying Wang,Zhihui Du 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.5

As a kind of renewable energy, solar power becomes more and more widely used as the power supply for large-scale datacenters to save the brown energy consumption and to reduce the overall cost. The prediction accuracy of solar energy generation becomes a fundamental issue in the research of how to efficiently manage the renewable energy resources. This paper explores the possible ways to predict the solar radiation intensity based on the assumption that it impacts the solar power generation proportionally. Through the analysis and research of photovoltaic power generation system, we explore the influence factors for solar radiation intensity, establish a relationship of solar radiation intensity and ambient temperature, time, humidity, wind speed in the forecasting model, and finally established the multivariate linear regression model and artificial neural network model. According to the two models, the environmental monitoring data measured at the Qinghai University are employed as the basis of the prediction of solar radiation intensity, and compared with the actual measurement data monitoring system. Experimental results show that, by using the BP neural network prediction model, the achieved accuracy is higher than other empirical model. The prediction method and good results provide a necessary foundation for future related research based on solar radiation values forecasts.

태양광 복사 가속화 시험을 통한 에폭시 폴리머의 색 변화 특성 연구

이상봉(Sang-Bong Lee),이동건(Dong-Geon Lee),김명준(Myung-Jun Kim),이수용(Soo-Yong Lee),박정선(Jung-Sun Park),강태엽(Tae-Yeop Kang),백상화(Sang-Hwa Baek) 한국항공우주학회 2016 韓國航空宇宙學會誌 Vol.44 No.11

태양광 복사에 의한 기계적 부품의 강성 및 강도 저하, 변색 등의 영향이 다양한 항공우주산업분야에서 관찰되고 있다. 이러한 현상에 대한 연구를 위해 자연 상태의 태양광에 대한 노출 시험을 수행할 수 있지만 균일한 시험환경 구현이 어렵고 과다한 시간과 비용이 요구된다는 문제점이 있다. 이를 극복하고자 본 논문에서는 자연 상태의 태양광 복사강도(1,120W/㎡)를 가속화 할 수 있는 시험 장치를 개발하고, 섬유강화 복합재료에 사용되는 epoxy polymer에 대한 가속화 시험을 통하여 태양광 복사에 따른 색 변화 특성을 연구하였다. 시험 시편은 인장 시험 규격인 ASTM-D638에 따라 제작하였으며, 시험 기간에 따른 색변화 특성에 관한 가속계수와 역제곱 모형을 산출하였다. 본 연구를 통해 복사강도가 증가할수록 동일한 변화량에 도달하기까지 소요되는 시간을 단축할 수 있다는 것을 확인하였다. There are a number of effects by solar radiation in many aerospace industrial fields, such as degradation of mechanical properties, sealing effect of sealants or decolorization. Because it takes long time to investigate these effects by using the light of natural state, new methods are developed for accelerating this phenomenon. In this paper, we developed an apparatus to simulate accelerated solar radiation phenomenon selecting irradiation intensity 1,120W/㎡ as the designed environment. Epoxy polymer as the composite material was chosen and processed by ASTM-D638, a reference for tensile test of polymer and plastic. Total color shift was selected as the test category to evaluate acceleration of the test. We obtained acceleration factors and numerical model from test data and concluded it can shorten test periods by accelerated irradiation intensity of 1,120W/㎡.

단동 온실 방향에 따른 씨 없는 수박의 생육 환경 요인 및 과실 비대

우승미,김가영,임정현,정주형,조승현,안병구,이은영,배종향,김호철 한국원예학회 2022 원예과학기술지 Vol.40 No.5

본 연구는 2021년 7월 8일부터 8월 4일까지 온실 방향에 따른 온실 내부 환경요소, 광합성 요소, 그리고 이에 따른 과실 비대 량 등의 차이를 알아보기 위해서 수행되었다. 온실은 전북 고창에 위치한 수박 재배 단동 온실(폭 × 높이 × 길이 = 6.0 × 3.3 × 100m)로 방향은 동서(동 → 서, EW)와 남동북서(남동 → 북서, SENW)였다. 과실 비대기 4주 동안 일평균 광도, 일평균 기온, 일평균 주간온도 모두 SENW 온실에서 EW 온실 보다 유의하게 높았다. 일중 광도는 일출부터 13:00 정도까지 SENW 온실 에서 EW 온실보다 높게 유지되었고, 이에 따라 조사기간 동안 일평균 적산일사량도 높게 유지되었다. 오전 11시경 착과 부위 엽 근처의 평균 광도는 SENW 온실에서 EW 온실의 408.13µmol·m-2·s-1보다 2배정도 높았고, 평균 증산속도도 SENW 온실 에서 6.53mmol·m-2·s-1로 EW의 4.75mmol·m-2·s-1보다 유의하게 높았다. 엽온 - 기온은 SENW 온실에서 –6.16°C로 EW 온 실의 –8.46°C보다 작았고, 두 온실 간 유의한 차이를 나타내었다. 엽온과 엽온 - 기온은 수증기압포차(R = 0.904**, 0.799*), 광도는 증산속도(R = 0.856**)와 높은 상관성을 나타내었다. 그리고 광도는 엽온에, 엽온은 엽온 - 기온에 영향을 유의하게 주 었다. 4주 동안 총 과실 체적 증가량은 SENW 온실에서 6,226.8cm3·fruit-1로 EW 온실의 4,755.3cm3·fruit-1보다 약 1.5배 많 았고, 그것은 적산일사량의 영향을 크게 받았다. 따라서 여름철에 수박을 재배하는 단동 온실의 방향은 광 환경 및 과실 비대에 영향을 주고, 온실 방향은 동서보다 남북이 적합할 것으로 판단된다

집중관측 자료를 이용한 춘천기상대 태양광 패널의 온도 및 태양광 발전량 분석

지준범(Jee Joon-Bum),조일성(Zo Il-Sung),이규태(Lee Kyu-Tae),이원학(Lee Won-Hak),최성진(Choi Sung-Jin) 한국태양에너지학회 2022 한국태양에너지학회 논문집 Vol.42 No.2

In this study, photovoltaic (PV) electricity power and PV panel temperature for operation and monitoring of PV power plant were calculated and analyzed. A PV panel temperature sensor was installed at the Chuncheon Meteorological Observatory solar power plant for intensive observation from May 1 to August 19, 2018. When the calculated PV panel temperature was analyzed using the measured PV panel temperature, the calculated PV panel temperature was overestimated at a higher temperature compared to the measured PV panel temperature, which was overestimated at a lower temperature; however, the determination coefficient (R²) was 0.88 or more. The bias was -0.33°C and RMSE was 3.43°C when the ground observation data were used. However, when the Local Data Assimilation and Prediction (LDAPS) model were used, the bias was 0.22°C and RMSE was 4.27°C. The PV electricity power generation by ground meteorological observation data (Korea Meteorological Administration, KMA), LDAPS model prediction data (LDAPS), and Communication Ocean and Meteorological Satellite (COMS) data using the PV module temperature were compared with those of the Chuncheon PV power plant. The determination coefficient (R²) of PV power generation was the highest for KMA (0.91) followed by COMS (0.88) and LDAPS (0.84). The slope of the linear regression, (1.05) for KMA, and the smallest bias (2.24 kWh) and RMSE (3.38 kWh) were similar to the measured values. However, compared to the LDAPS, the slope (1.23) of the linear regression was the largest in COMS, and the bias (4.77 kWh) and RMSE (6.23 kWh) were slightly higher.