• 제목/요약/키워드: Solar Photovoltaic Power Generation

검색결과 453건 처리시간 0.026초

Perez Model을 적용한 태양광 시스템 별 최적 설치 조건 및 최대 발전량 분석 (An Analysis of Optimal Installation Condition and Maximum Power Generation of Photovoltaic Systems Applying Perez Model)

  • 이재덕;김철환
    • 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.

서울시 햇빛지도 기반의 RPS제도를 고려한 옥상녹화 연계 태양광발전 시스템의 경제성 분석 (Economics Analysis of Photovoltaic Power Generation Linked with Green Roof in Consideration of Seoul Solar Map-based RPS)

  • 김태한;이소담;박정현
    • KIEAE Journal
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    • 제17권1호
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    • pp.77-82
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    • 2017
  • In power supply systems for urban areas, issues such as a progressive tax have escalated recently. In this regard, photovoltaic power generation, which is appraised as an alternative power generation system, is drawing attention increasingly for its high stability and applicability to existing infrastructure. This study assessed the realistic feasibility of photovoltaic power generation and also analyzed the economic benefits expected when it is linked with green roof, which is likely to promote ecological functions in urban areas, based on the Seoul solar map, RPS, and actual monitoring data. The economics analysis of 30kW photovoltaic power generation applied with the monthly average horizontal solar radiation of six grades in the Seoul solar map showed that positive NPV was up to grade 4, while grade 5 or poorer showed negative NPV and indicated that it is difficult to assure appropriate feasibility. Compared with non-afforestation, when green roof was applied, monthly average power improvement efficiency was 7.2% at highest and 3.7% at lowest based on yearly actual monitoring data. The annual average was 5.3%, and the efficiency was high relatively in summer, including September and November. As for the economic benefits expected when 30kw photovoltaic power generation is combined with green roof based on the average horizontal solar radiation of grade 1 in the Seoul solar map, SP has improved 0.2 years to 7.4 years, and EP has improved 0.5 years to 8.3 years.

영농형 태양광 발전의 진단을 위한 지능형 예측 시스템 (Intelligent Prediction System for Diagnosis of Agricultural Photovoltaic Power Generation)

  • 정설령;박경욱;이성근
    • 한국전자통신학회논문지
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    • 제16권5호
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    • pp.859-866
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    • 2021
  • 영농형 태양광 발전은 농지 상부에 태양광 발전 설비를 설치하는 방식으로 농작물과 전기를 동시에 생산함으로써 농가 소득을 증대시키는 새로운 모델이다. 최근 영농형 태양광 발전을 활용하는 다양한 시도들이 이루어지고 있다. 영농형 태양광 발전은 기존의 태양광 발전과는 달리 비교적 높은 구조물 상부에 설치하게 되므로 유지 보수가 상대적으로 어렵다는 단점이 있다. 이러한 문제를 해결하기 위해 지능적이고 효율적인 운용 및 진단 기능이 요구된다. 본 논문에서는 영농형 태양광 발전 설비의 전력 생산량을 수집, 저장하여 지능적인 예측 모델을 구현하기 위한 예측 및 진단 시스템의 설계 및 구현에 대해 논한다. 제안된 시스템은 태양광 발전량과 환경 센서 데이터를 기반으로 발전량을 예측하여 설비의 이상 유무를 판별하며 설비의 노화 정도를 산출하여 사용자에게 제공한다.

태양광 대량보급 시대의 기술개발 (Technology Development in the Era of Photovoltaic Mass Supply)

  • 조은철;송재천;조영현;이준신
    • Current Photovoltaic Research
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    • 제6권4호
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    • pp.124-132
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    • 2018
  • The Korean electric power supply plan was prepared by greatly enhancing the environmental and safety with considering the economical efficiency of the electric equipment, the impact on the environment and the public safety. As a result, the fossil energy-based power generation sector is accelerating the paradigm shift to eco-friendly energy such as solar power and wind. Also the solar power industry is expected to grow into a super large-sized industry by converging the energy storage and electric vehicle industry. Generally, a levelized cost of electricity (LCOE) is used to calculate the power generation cost for different generation power generation efficiency, operating cost, and life span. In this paper, we have studied the future research and development direction of photovoltaic technology development for the era of massive utilization of photovoltaic solar power, and have studied the LCOE of major countries including China, USA, Germany, Japan and Korea. Finally we have reviewed USA and Japan research programs to reduce the LCOE.

Reduce on the Cost of Photovoltaic Power Generation for Polycrystalline Silicon Solar Cells by Double Printing of Ag/Cu Front Contact Layer

  • Peng, Zhuoyin;Liu, Zhou;Chen, Jianlin;Liao, Lida;Chen, Jian;Li, Cong;Li, Wei
    • Electronic Materials Letters
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    • 제14권6호
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    • pp.718-724
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    • 2018
  • With the development of photovoltaic industry, the cost of photovoltaic power generation has become the significant issue. And the metallization process has decided the cost of original materials and photovoltaic efficiency of the solar cells. Nowadays, double printing process has been introduced instead of one-step printing process for front contact of polycrystalline silicon solar cells, which can effectively improve the photovoltaic conversion efficiency of silicon solar cells. Here, the relative cheap Cu paste has replaced the expensive Ag paste to form Ag/Cu composite front contact of silicon solar cells. The photovoltaic performance and the cost of photovoltaic power generation have been investigated. With the optimization on structure and height of Cu finger layer for Ag/Cu composite double-printed front contact, the silicon solar cells have exhibited a photovoltaic conversion efficiency of 18.41%, which has reduced 3.42 cent per Watt for the cost of photovoltaic power generation.

태양광모듈 냉각장치를 이용한 태양광발전장치 발전효율 향상을 위한 연구방안 (Research Plan to improve Power Generation Efficiency of Photovoltaic Units using Photovoltaic Module Cooling System)

  • 윤용호
    • 한국인터넷방송통신학회논문지
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    • 제20권1호
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    • pp.199-204
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    • 2020
  • 국내에서 사용 중인 실리콘 태양전지판의 경우 제작 사양이 -0.5에서 0.05℃ 한계에서 최대출력을 낼 수 있도록 설계되어있어 온도 1℃ 상승 시 0.45~0.55%의 출력이 감소한다. 결과적으로 태양광발전은 태양전지(CELL)의 특성상 태양광모듈의 표면 온도상승에 따라 출력이 떨어지게 된다. 출력 저하는 태양광발전의 효율을 떨어뜨리며 효율이 떨어지면 최종적으로 태양광발전의 발전량에 따른 전력판매 수익이 감소하는 결과를 낳는다. 따라서 본 논문에서는 온도검출 센서를 통해 설정된 온도 이상으로 식별 시 태양광모듈 하부(또는 주변)에 냉각 공기를 분사시키는 방식을 연구방안으로 제안한다. 추가로 손실된 태양에너지를 활용하여 발전량을 증가시키며 냉각 공기를 통한 냉각기능을 적용함으로써 발전량을 더욱 증대시킬 수 있도록 하였다.

계통연계형 태양광발전 시스템의 제어기법 (Control Technique of a Utility Interactive Photovoltaic Generation System)

  • 김대균;전기영;함년근;이상집;오봉환;정춘병;김용주;한경희
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2005년도 전력전자학술대회 논문집
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    • pp.54-56
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    • 2005
  • The paper proposes the solar photovoltaic power generation system method for photovoltaic system to solve the power shortage due the sudden power demand. So that supplied electric power to system at appearance during surplus electric power minute and unit moment link driving with common use system is available, digital PLL circuit system voltage through composition and phase of solar photovoltatic power generation system to do synchronization do. Feed forward controller was applied to get fast current response Solar cell that is changed by solar radiation always kept the maximum output when it used Step up chopper. The dynamic character had checked through simulation used Matlab Sumulink and confirmed through an experiment.

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Prediction of Solar Photovoltaic Power Generation by Weather Using LSTM

  • Lee, Saem-Mi;Cho, Kyu-Cheol
    • 한국컴퓨터정보학회논문지
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    • 제27권8호
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    • pp.23-30
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    • 2022
  • 딥러닝은 주가 및 농산물 가격 예측과 같이 데이터를 분석해 일련의 규칙을 발견하고 미래를 예상해 우리의 삶에서 다양한 도움을 주고 있다. 본 연구는 태양광 에너지 사용의 중요성이 늘어나는 상황에서 기상에 따른 태양광 발전 실적을 딥러닝을 통해 분석하고 발전량을 예측한다. 본 연구에서는 시계열 데이터 예측에서 두각을 나타내고 있는 LSTM(Long Short Term Memory network)을 사용한 모델을 제안하며 이미지를 비롯한 다양한 차원의 데이터를 분석할 때 사용되는 CNN(Convolutional Neural Network)과 두 모델을 결합한 CNN-LSTM과의 성능을 비교한다. 세 가지 모델의 성능은 태양광 발전 실적의 실제값과 딥러닝을 통해 예측한 값으로 MSE, RMSE, 결정계수를 계산하여 비교하였고 그 결과 LSTM 모델의 성능이 가장 우수한 것으로 나타났다. 따라서 본 연구는 LSTM을 사용한 태양광 발전량 예측을 제안한다.

태양광발전단지 건설을 위한 동아시아 지역의 태양광자원 정밀조사 (A Detailed Survey of Solar Energy Resources for the Construction of Photovoltaic Power Generation Sites in East Asia Areas)

  • 조덕기;강용혁
    • 한국태양에너지학회 논문집
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    • 제26권1호
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    • pp.29-39
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    • 2006
  • Since the solar radiation is the main input for sizing any solar photovoltaic system, it will be necessary to understand and evaluate the solar radiation data. The works presented here are the analysis of solar radiation data for East Asia areas. The data, which consist of the global radiation on horizontal surface, were measured at 16 different stations over the South Korea and were estimated by using satellite at 12 different stations over the North Korea from 1982 to 2004. Also the data over the Japan have been collected for 30 years for the period from 1941 to 1970. The Result of the analysis shows that the annual-average daily global radiation on the horizontal surface is $3.55\;kWh/m^2$. We conclude, based on the analysis, that East Asia areas have sufficient solar energy resources for the photovoltaic power generation system.

태양광발전 시스템의 일사량에 따른 전력 패턴 분석 (Analysis of Power Pattern According to Irradiation for Photovoltaic Generation System)

  • 이경섭
    • 전기학회논문지P
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    • 제58권4호
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    • pp.602-608
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    • 2009
  • In this thesis, output voltage, current and power of solar module were classified by irradiation from data of overall operating characteristics collected for one year in order to manage efficient photovoltaic generation system and deliver maximum power. In addition, from these data, correlations between irradiation of photovoltaic cell and amount of power given by photovoltaic cell was quantitatively examined to deduce optimization of the design and construction of photovoltaic generation system. As I-V characteristics according to a temperature range of 10~50[$^{\circ}C$], the area of I-V characteristics were increased with an increase in temperature. Since this area corresponds to the power, output power is thought to have increased with temperature. As output power characteristics according to a temperature range of 10~50[$^{\circ}C$], output power was increased with an increase in temperature. Since output power increases with temperature increase, the result corresponds well to the related equation on temperature and output power. As I-V characteristics according to a irradiation range of 100~900 [$W/m^2$], voltage and current were increased with an increase in irradiation. The result is thought of as an increase in output power with increasing irradiation. As output power characteristics according to a irradiation range of 100~900 [$W/m^2$], output power was increased with increasing irradiation. This result corresponds well to the related equation on irradiation and output power.