• 제목/요약/키워드: Photovoltaic panels

검색결과 98건 처리시간 0.026초

에너지 생산성 분석 기반 양면발전형 수직 태양전지의 활용 가능성 탐색 (A Study on the Applicability of Double-Sided Vertical Photovoltaic Panels Based on Energy Productivity Analysis)

  • 최승주;한승훈
    • 신재생에너지
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    • 제19권4호
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    • pp.84-97
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    • 2023
  • This study aimed to investigate the feasibility and potential applications of utilizing bifacial photovoltaic (PV) panels from an architectural perspective. It also aimed to establish a foundational dataset for installation and operational guidelines for bifacial PV panels through a comparative analysis of energy production performance with single PV panels. The research encompassed several key steps, including a comprehensive literature review, calculation of solar surface radiation values, development of datasets for bifacial and single PV energy production, and a performance comparison between both approaches. The results of the study show that bifacial PV panels exhibit optimized energy production capabilities within the range of 40 to 80 degrees, contingent upon the specific installation location. Consequently, it is recommended that the installation of bifacial PV panels in Korea should primarily focus on southwest-to-west orientation. Furthermore, it was concluded that bifacial PV panels could contribute an equivalent or even superior level of energy production compared to single PV panels, even if their performance exhibited a marginally lower efficiency of 2% to 5% with an 18% power generation efficiency.

A Study on Effects of Partial Shading on PV System applied to the Offshore Plant

  • Lee, Ji Young;Yang, Hyang Kweon;Oh, Jin Seok
    • Journal of Advanced Marine Engineering and Technology
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    • 제39권2호
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    • pp.152-158
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    • 2015
  • Unlike photovoltaic systems installed on land, photovoltaic systems applied to the offshore plant have the characteristic that is installed in a limited space. For single point mooring plant, it is advantageous in terms of a reliable power supply to be installed in different directions of photovoltaic panels, because it is not possible to identify the position of the sun by rotation of the plant itself. Differences of installation angle between photovoltaic panels make a difference of the intensity of radiation irradiated on each photovoltaic panel, and it brings loss of generation quantity due to the partial shading. In order to provide a photovoltaic system suitable for offshore plant, the modeling which contains multiple photovoltaic panels controlled by single controller is performed. Then, it was examined how the output characteristics of the photovoltaic system change about the difference of the intensity of radiation that varies depending on the altitude of the sun. Finally, through the simulation, a development model of the photovoltaic system which is suitable for offshore plant is suggested.

Automatic Photovoltaic Panel Area Extraction from UAV Thermal Infrared Images

  • Kim, Dusik;Youn, Junhee;Kim, Changyoon
    • 한국측량학회지
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    • 제34권6호
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    • pp.559-568
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    • 2016
  • For the economic management of photovoltaic power plants, it is necessary to regularly monitor the panels within the plants to detect malfunctions. Thermal infrared image cameras are generally used for monitoring, since malfunctioning panels emit higher temperatures compared to those that are functioning. Recently, technologies that observe photovoltaic arrays by mounting thermal infrared cameras on UAVs (Unmanned Aerial Vehicle) are being developed for the efficient monitoring of large-scale photovoltaic power plants. However, the technologies developed until now have had the shortcomings of having to analyze the images manually to detect malfunctioning panels, which is time-consuming. In this paper, we propose an automatic photovoltaic panel area extraction algorithm for thermal infrared images acquired via a UAV. In the thermal infrared images, panel boundaries are presented as obvious linear features, and the panels are regularly arranged. Therefore, we exaggerate the linear features with a vertical and horizontal filtering algorithm, and apply a modified hierarchical histogram clustering method to extract candidates of panel boundaries. Among the candidates, initial panel areas are extracted by exclusion editing with the results of the photovoltaic array area detection. In this step, thresholding and image morphological algorithms are applied. Finally, panel areas are refined with the geometry of the surrounding panels. The accuracy of the results is evaluated quantitatively by manually digitized data, and a mean completeness of 95.0%, a mean correctness of 96.9%, and mean quality of 92.1 percent are obtained with the proposed algorithm.

수상 태양광 발전시설 무인청소 로봇 개발 (Development of Unmanned Cleaning Robot for Floating Photovoltaic Panels)

  • 박성수;이승렬;이현규;이상순
    • 반도체디스플레이기술학회지
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    • 제19권3호
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    • pp.130-135
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    • 2020
  • This paper describes the results of a study on the unmanned cleaning robot that performs the cleaning of the floating photovoltaic panels. The robot uses two SSC (Sliding Suction Cup) adsorptive devices to move up and down the slope. First, the forces generated when the robot moves up the slope are mechanically analyzed. The robot was designed and manufactured to operate stably by using the presented results. Next, the robot motion was tested on the inclined panel. It has been proven that robots are well designed and built to clean sloped panels.

태양광발전시설 무인 유지보수 로봇 개발 (Development of Unmanned Cleaning Robot for Photovoltaic Panels)

  • 이현규;이상순
    • 반도체디스플레이기술학회지
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    • 제18권3호
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    • pp.144-149
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    • 2019
  • This paper describes the results of a study on the unmanned maintenance robot that simultaneously performs the cleaning and inspection of the photovoltaic panels. The robot has a special adsorptive device, an infrared sensor, a vacuum level sensor and a camera. The robot uses two SSC (Sliding Suction Cup) adsorptive devices to move up and down the slope. First, the forces generated when the robot moves up the slope are mechanically analyzed, and the required design and control of the adsorption system are suggested. The robot was designed and manufactured to operate stably by using the presented results. Next, the normal force between the panel and the wheel was measured to confirm that the robot was manufactured and operated as intended, and the robot motion was tested on the inclined panel. It has been proven that robots are well designed and built to clean and inspect sloped panels.

Low-Power Cool Bypass Switch for Hot Spot Prevention in Photovoltaic Panels

  • Pennisi, Salvatore;Pulvirenti, Francesco;Scala, Amedeo La
    • ETRI Journal
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    • 제33권6호
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    • pp.880-886
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    • 2011
  • With the introduction of high-current 8-inch solar cells, conventional Schottky bypass diodes, usually adopted in photovoltaic (PV) panels to prevent the hot spot phenomenon, are becoming ineffective as they cause relatively high voltage drops with associated undue power consumption. In this paper, we present the architecture of an active circuit that reduces the aforementioned power dissipation by profitably replacing the bypass diode through a power MOS switch with its embedded driving circuitry. Experimental prototypes were fabricated and tested, showing that the proposed solution allows a reduction of the power dissipation by more than 70% compared to conventional Schottky diodes. The whole circuit does not require a dedicated DC power and is fully compatible with standard CMOS technologies. This enables its integration, even directly on the panel, thereby opening new scenarios for next generation PV systems.

Improved Orientation Strategy for Energy-Efficiency in Photovoltaic Panels

  • Dousoky, Gamal M.;El-Sayed, Abou-Hashema M.;Shoyama, Masahito
    • Journal of Power Electronics
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    • 제11권3호
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    • pp.335-341
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    • 2011
  • This paper presents an improved orientation strategy for energy-efficiency in photovoltaic (PV) panels. Conventionally, PV panels are tilted with the site's latitude angle or the difference between the latitude angle and the solar declination angle. A monthly-based orientation strategy has been proposed and analyzed in this study. The proposed strategy implies that the PV panels are tilted with the monthly-based angle that achieves the maximum incident radiation. Furthermore, the impact of using the proposed orientation strategy and three conventional strategies on the produced power and on the PV system design features has been investigated in detail. A Japanese city (Fukuoka) and an Egyptian city (Al-Kharijah) have been considered as locations for the PV power system installation. The results showed that the proposed strategy achieved an increase in the power produced from the PV power systems at the two different sites, and consequently the required solar cells area can be saved. Therefore, the cost of the PV power system components can be reduced including the solar cells area and the land area.

한국 중부 지역의 태양광 모듈 타입에 따른 발전량 특성 (Power Output in Various Types of Solar Panels in the Central Region of Korea)

  • 장효식
    • 한국태양에너지학회 논문집
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    • 제38권1호
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    • pp.37-44
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    • 2018
  • Solar panels are modules made up of many cells, like the N-type monosilicon, P-type monosilicon, P-type multisilicon, amorphous thin-film silicon, and CIGS solar cells. An efficient photovoltaic (PV) power is important to use to determine what kind of cell types are used because residential solar systems receive attention. In this study, we used 3-type solar panels - such as N-type monosilicon, P-type monosilicon, and CIGS solar cells - to investigate what kind of solar panel on a house or building performs the best. PV systems were composed of 3-type solar panels on the roof with each ~1.8 kW nominal power. N-type monosilicon solar panel resulted in the best power generation when monitored. Capacity Utilization Factor (CUF) and Performance Ratio (PR) of the N-type Si solar panel were 14.6% and 75% respectively. In comparison, N-type monosilicon and CIGS solar panels showed higher performance in power generation than P-type monosilicon solar power with increasing solar irradiance.

군부대 유휴부지를 활용한 탄소 순 배출량 제로 달성을 위한 태양광 패널 및 수소 연료 저장시설의 설치 규모 예측 (A Study on Predicting Installation Scale of Photovoltaic Panels and Hydrogen Fuel Storage Facilities to Achieve Net Zero Carbon Emissions Exploiting Idle Sites of Military Bases)

  • 문동학;허지용
    • 한국군사과학기술학회지
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    • 제27권1호
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    • pp.8-14
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    • 2024
  • In this study, the scale of renewable photovoltaic(PV) panels and hydrogen fuel storage facilities required to achieve "net zero carbon emissions" in military facilities were predicted based on actual electricity consumption. It was set up to expect the appropriate installation size of PV panel and hydrogen fuel storage facility for achieving carbon neutrality, limited to the electricity consumption in the public sector, including national defense and social security administration in Yeongcheon. The experimental results of this paper are largely composed of two parts. First, representative meteorological factors were considered to predict solar power generation in the Yeongcheon area, and solar power generation was estimated through a multiple regression model using deep learning techniques. Second, the size of solar power generation facilities and hydrogen storage facilities in military bases was estimated with the amount of solar power generation and electricity consumption. As a result of this analysis, it was calculated that a site of 155.76×104 m2 for PV panels was needed and a facility capable of storing 27,657 kg of hydrogen gas was required. Through these results, it is meaningful to demonstrated the prospect that military units can lead the achievement of "carbon net zero 2050" by using PV panels and hydrogen fuel storage facilities on idle sites of military bases.

기계학습을 이용한 태양광 발전량 예측 및 결함 검출 시스템 개발 (Development of a System for Predicting Photovoltaic Power Generation and Detecting Defects Using Machine Learning)

  • 이승민;이우진
    • 정보처리학회논문지:컴퓨터 및 통신 시스템
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    • 제5권10호
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    • pp.353-360
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    • 2016
  • 여러 개의 태양전지들이 붙어 있는 태양광 패널을 이용하여 전력을 생산하는 태양광 발전은 최근 신재생 에너지 기술로 빠르게 성장하고 있는 분야이다. 하지만 태양광발전의 단점 중 하나인 불규칙한 전력 생산문제로 인해, 장비 및 패널 결함에 빠르게 대응하지 못하는 문제가 발생한다. 이 연구에서는 다양한 기후데이터와 패널 정보를 이용하여 태양광발전량 예측 방법들을 비교하여 최적의 예측 알고리즘을 평가하고 이를 기반으로 태양광발전소 결함 검출 시스템을 개발하여 국내 태양광 발전소에 적용한 사례를 기술한다.