• Bulletin of the Korea Photovoltaic Society
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• v.6 no.2
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• pp.15-24
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• 2020

영농형 태양광 발전은 농업과 태양광 발전 시스템의 동시 상생이 가능한 기술로 현재와 같은 농업 환경 및 생태계 개선 그리고 에너지 전환의 시대에 대처해야 하는 훌륭한 대안이다. 한국형 영농형 태양광 발전 시스템 개발 및 보급을 위한 국내 첫 연구개발 사업인 농림축산식품부(농림식품기술기획평가원 첨단생산기술개발사업)의 "한국형 태양광 이모작(농업&태양광 발전 병행) 스마트 영농 시스템 개발(과제번호: 1545015977)"과제를 통해 총 60kW급 규모의 5개소 실증단지(10kW급 3개소 신규 개발 및 구축)를 활용한 최적 시스템 개발, 6품종(벼 2품종, 감자, 배추, 마늘, 양파 및 배) 표준재배기술 도출 등을 수행하였다. 기존 태양광 발전용 모듈(72cell) 대비 half-size(36cell) 모듈 개발, 작물 별 최적 구조물(차광률 30% 미만 적용) 도출, 대상 작물 감수율 20% 미만 달성 및 표준재배기술개발을 수행하였다. 추후 장기간 동안 영농형 태양광 구조물의 경제성 확보, 시공성 개선 그리고 다양한 작물 대상 표준재배기술 최적화 등의 실증연구가 필요하다. 마지막으로 영농형 태양광 발전 시스템의 확산 및 보급을 위해 국가적 지원과 농민들의 적극적인 참여 없이는 불가능 하다. 그리고 본 개발 기술은 농업인을 위한 기술로 범국민적인 수용성 개선 또한 수반되어야 한다. 특히, 정부는 영농형 태양광 발전 시스템이 대한민국의 식량안보와 에너지안보를 확보를 위해 농업진흥지역에 대한 최대 20년까지 타용도 일시전용이 가능하도록 농지법 개정으로 화답 할 때이다.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.5
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• pp.859-866
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• 2021

Agricultural Photovoltaic power generation is a new model that installs solar power generation facilities on top of farmland. Through this, it is possible to increase farm household income by producing crops and electricity at the same time. Recently, various attempts have been made to utilize agricultural solar power generation. Agricultural photovoltaic power generation has a disadvantage in that maintenance is relatively difficult because it is installed on a relatively high structure unlike conventional photovoltaic power generation. To solve these problems, intelligent and efficient operation and diagnostic functions are required. In this paper, we discuss the design and implementation of a prediction and diagnosis system to collect and store the power output of agricultural solar power generation facilities and implement an intelligent prediction model. The proposed system predicts the amount of power generation based on the amount of solar power generation and environmental sensor data, determines whether there is an abnormality in the facility, calculates the aging degree of the facility and provides it to the user.

• Korean Journal of Agricultural and Forest Meteorology
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• v.22 no.3
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• pp.144-151
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• 2020

Agrivoltaic systems (AVS) is defined as combining farm-grown crops with photovoltaic panels (PV) installed several meters above the ground. Solar radiation (W/㎡), photosynthetic photon flux density (PPFD, µmol/㎡/s), air temperature (℃), vapor pressure (kPa), soil moisture (㎥/㎥), soil temperature (℃), wind direction (˚), and wind speed (m/s) were measured under the AVS in Boseong-gun during winter barley season. Data was collected by 5 minute interval. All data can download at Github site (https://github.com/chojaeil/AVS_Boseung). To gap-filling missing solar radiation data during about two weeks, the conversion coefficient from solar radiation to PPFD was estimated as 0.41. Further, according to the ratio of diffuse radiation to direct radiation, the maximum value among the twenty PPFD sensors under the AVS was related to the PPFD value of filed.

• Korean Journal of Agricultural and Forest Meteorology
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• v.25 no.3
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• pp.218-225
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• 2023

An agrivoltaic system (AVS) is a combined system that generates power through photovoltaic panels (PVPs) installed above a field where a crop is cultivated. Although soil moisture is an important limiting factor for open-field crop production, particularly during spring season in Korea, it is not well considered in the utilization of AVS. Indeed, the application of water-energy-food nexus on the AVS should be necessary. In this study, the changes of soil moisture and temperature under the AVS was investigated in fallow paddy field during spring season. The AVS that has partial shading condition by PV panels was decreased soil temperature and increased soil moisture compared to open-field. Furthermore, the maximum of the change in soil moisture to the change in soil temperature had a negative correlation both on open-field and AVS under wet condition. It represents that the micro-climate under the AVS is in energy-limited condition. The open-field of relatively high soil temperature was in water-limited condition. The different behavior of soil moisture on the AVS should be considered for the sustainable agricultural system as related to water-energy-food nexus.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.5
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• pp.825-832
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• 2022

In this paper, we discuss the design and implementation of predictive and diagnostic models for realizing intelligent predictive models by collecting and storing the power output of agricultural photovoltaic power generation systems. Our model predicts the amount of photovoltaic power generation using RNN, LSTM, and GRU models, which are recurrent neural network techniques specialized for time series data, and compares and analyzes each model with different hyperparameters, and evaluates the performance. As a result, the MSE and RMSE indicators of all three models were very close to 0, and the R2 indicator showed performance close to 1. Through this, it can be seen that the proposed prediction model is a suitable model for predicting the amount of photovoltaic power generation, and using this prediction, it was shown that it can be utilized as an intelligent and efficient O&M function in an agricultural photovoltaic system.

• Korean Journal of Agricultural and Forest Meteorology
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• v.23 no.3
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• pp.141-148
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• 2021

Agrivoltaic systems, also called solar sharing, stated from an idea that utilizes sunlight above the light saturation point of crops for power generation using solar panels. It is expected that agrivoltaic systems can realize climate smart agriculture by reducing evapotranspiration and methane emission due to the reduction of incident solar radiation and the consequent surface cooling effect and bring additional income to farms through solar power generation. In this study, to evaluate that agrivoltaic systems are suitable for realization of climate smart agriculture, we conducted agro-environmental observations (i.e., downward/upward shortwave/longwave radiations, air temperature, relative humidity, water temperature, soil temperature, and wind speed) in a rice paddy under an agrivoltaic system and compared with the environment outside the system using automated meteorological observing systems (AMOS). During the observation period, the spatially averaged incoming solar radiation under the agrivoltaic system was about 70% of that in the open paddy field, and clear differences in the soil and water temperatures between the paddy field under the agrivoltaic system and the open paddy field were confirmed, although the air temperatures were similar. It is required in the near future to confirm whether such environmental differences lead to a reduction in water consumption and greenhouse gas emissions by flux measurements.

• Bulletin of the Korea Photovoltaic Society
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• v.6 no.2
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• pp.25-33
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• 2020

• Korean Journal of Agricultural and Forest Meteorology
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• v.23 no.2
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• pp.100-107
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• 2021

An agrivoltaic system (AVS) is a system of innovation that comprises productions of photovoltaic power and agricultural crops on the same area. However, the decline in crop yield will be fatally occurred because the pigments of crop absorbs less light energy under AVS. In addtion, the photosynthetic capacity of crop grown under the partial shading of AVS is not well reported. In this study, the electron transport rate (ETR) and non-photochemical fluorescence quenching (NPQ) of soybean and rice under the AVS in Boseong and Naju was investigated using chlorophyll fluorescence measurement. The ETR value of soybean and rice under AVS were not significantly differed by location. It represents that the photophosphorylation rate of the crops is not critically different. It means that the decreases in total photosynthesis under AVS were mostly affected by the amount of light absorbed by leaves. Under AVS the photosynthesis of crops will be lower than field crops grown in open fields. This is because the crops under AVS observed higher NPQ, which means that the available energy cannot distribute to photophosphorylation reaction.

• Korean Journal of Agricultural and Forest Meteorology
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• v.21 no.4
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• pp.358-365
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• 2019

An agrivoltaic systems (AVS) is mixed systems associating photovoltaic panels (PVPs) and crop cultivation at the same time on the given land area. It is receiving attention to improve rural economy. However, it is likely that, the crop yield should be decreased due to the reduced absorption of solar radiation by leaves. Thus, before popularizing the AVS, it is necessary to comprehend the degree of shading by PVPs in AVS. In this study, the change of radiation condition under AVS mimic shading net was investigated. The minimum and maximum of difference of photosynthetically active radiation (PAR) between under and outside shading net were 3.03 mol/㎡/day on a cloudy day and 17.08 mol/㎡/day on a sunny day. This difference decreased when the ratio of diffuse irradiance to global irradiance increased. Such a shading effect resulted in the increase of rice height and decrease of rice tillering.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.69 no.2
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• pp.88-96
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• 2024

Recently, interest in renewable energy development has been increasing to promote carbon-neutral policies. Agrivoltaic is a solar power generation facility with the potential to aid in meeting carbon-neutral policies. It has the advantage of generating electricity while farming takes place, but it also has the disadvantage of reducing crop yield and cultivation safety. We analyzed the rice yield, quality, and stem growth characteristics according to different transplanting densities under agrivoltaics. Under agrivoltaics, the number of rice panicles was reduced by the shading effect, but the reduction was lower under 60 hills than under 80 and 100 hills. Brown rice perfect ratio was increased under 60 hills under agrivoltaics. Brown rice yield did not differ significantly between 60 and 80 hills under agrivoltaics. However, stem dry weight by unit(mg/cm) in each internode showed highest under 60 hills compared to 80 and 100 hills under agrivoltaics. Therefore, 60 hill density was considered appropriate to ensure cultivation safety and yield when cultivated rice under agrivoltaics.