• 제목/요약/키워드: solar generation

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Current Status of Solar Power Generation in Jinju City Close to the South Coast and Jeonju City Close to the West Coast

  • Kwang Pyo Hong;Yun-Hi Kim;Gi-Hwan Kim
    • 한국전기전자재료학회논문지
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    • 제36권1호
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    • pp.62-69
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    • 2023
  • Recently, renewable energy has been increasing in Korea to reduce greenhouse gas, and solar power generation, which accounts for the largest proportion of renewable energy, is noteworthy. The government policy will further increase solar power generation. In order to implement the policy, it is important to understand the current status of domestic solar power generation facilities. Therefore, the current status of solar power generation facilities in Jinju city close to the south coast and Jeonju city close to the west coast was investigated and compared. By 2020, 618 solar power plants had been installed in Jeonju city and 269 in Jinju city. However, there is not much difference in the amount of solar power generation for business at 9 GWh. The reason is that Jinju city has a lower population density than Jeonju city, so there are enough places to install a large-scale solar power facilities with a large power generation capacity. Monthly solar power generation was the highest in April in both Jeonju city and Jinju city and the lowest in January. In particular, in December, Jinju city showed more solar power generation than Jeonju city because of the large amount of insolation, long sunshine hours, and few clouds.

양축 추적제어에 의한 고효율 태양열 발전시스템의 개발 (Development of High Efficiency Solar Power Generation with Two-axis Tracking Control)

  • 고재섭;정동화
    • 전기학회논문지
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    • 제60권9호
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    • pp.1721-1726
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    • 2011
  • Recently, interest in renewable energy is increased due to exhaustion of fossil fuel and environmental pollution all over the world, therefore the solar power generation using solar energy is many researched. The solar power generation is required solar tracking control and high concentration solar thermal collector because generation performance is depended on concentrator efficiency. This paper proposes high efficiency solar power generation with two-axis tracking control using dish-type solar thermal collector that has excellent thermal collector performance and tracking algorithm that can be accurately tracked solar position. This paper proves validity through analysis with accuracy of tracking algorithm and generating efficiency.

태양열 복합발전기술의 개요와 국내 연구개발 현황 (Solar Thermal Hybrid Power Generation: technology overview and state of the art in Korea)

  • 김진수;강용혁;이상남;윤환기;유창균
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2005년도 춘계학술대회
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    • pp.412-415
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    • 2005
  • Solar thermal power generation is one of promising and well-proven ways to convert solar energy to electricity. Though it requires high initial cost for system construction and continuous efforts for maintainment. it is more positive in terms of efficiency than other solar power generation technologies. Moreover, solar thermal power generation allows additional benefits of cheap thermal storage and easy hybridization with other fossil fuel-driven power generation. Owing to these benefits, large scale solar thermal power generation technology is expected to be competitive to other commercial technologies in the near future. In this paper an overview on the solar thermal hybrid power generation technology and the state of the art in Korea were briefly introduced.

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RNN-LSTM을 이용한 태양광 발전량 단기 예측 모델 (Short Term Forecast Model for Solar Power Generation using RNN-LSTM)

  • 신동하;김창복
    • 한국항행학회논문지
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    • 제22권3호
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    • pp.233-239
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    • 2018
  • 태양광 발전은 기상 상태에 따라 간헐적이기 때문에 태양광 발전의 효율과 경제성 향상을 위해 정확한 발전량 예측이 요구된다. 본 연구는 목포 기상대에서 예보하는 기상 데이터와 영암 태양광 발전소의 발전량 데이터를 이용하여 태양광 발전량 단기 딥러닝 예측모델을 제안하였다. 기상청은 기온, 강수량, 풍향, 풍속, 습도, 운량 등의 기상요소를 3일간 예보한다. 그러나 태양광 발전량 예측에 가장 중요한 기상요소인 일조 및 일사 일사량 예보하지 않는다. 제안 모델은 예보 기상요소를 이용하여, 일조 및 일사 일사량을 예측 하였다. 또한 발전량은 기상요소에 예측된 일조 및 일사 기상요소를 추가하여 예측하였다. 제안 모델의 발전량 예측 결과 DNN의 평균 RMSE와 MAE는 0.177과 0.095이며, RNN은 0.116과 0.067이다. 또한, LSTM은 가장 좋은 결과인 0.100과 0.054이다. 향후 본 연구는 다양한 입력요소의 결합으로 보다 향상된 예측결과를 도출할 수 있을 것으로 기대된다.

GIS기법을 이용한 일사량 모델링 (Insolation Modeling Using by GIS)

  • 김병우;강인준;김상석;곽재하
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2010년 춘계학술발표회 논문집
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    • pp.359-361
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    • 2010
  • This research is thing about location choice of solar power generation equipment to increase efficiency of solar power generation equipment. In the case of current solar power generation equipment, location of large scale solar power generation equipment facilities choice or, have localized in small scale equipment by individual. This research uses various climatic elements of small scale area for efficient location choice of solar power generation facilities and quantity of solar radiation did back-tracking.

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과거 일사량 자료를 활용한 수상태양광 발전량 예측 연구 (Study on Generation Volume of Floating Solar Power Using Historical Insolation Data)

  • 나혜지;김경석
    • 대한토목학회논문집
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    • 제43권2호
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    • pp.249-258
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    • 2023
  • 태양광발전은 현재 국내 신재생에너지 중 발전량과 설비용량 비중이 가장 크다. 수상태양광은 국내의 육상태양광 발전시설의 여러 가지 단점을 보완한 방식이다. 본 연구는 군산 새만금에 위치한 18.7 MW 시설용량의 수상태양광발전소를 대상으로 발전량을 분석하고자 한다. 기후의 영 향을 많이 받는 태양광발전사업의 특성으로 타당성을 확인하고자 관련 연구자들은 태양광 발전량 예측에 많은 기법들을 적용하였다. 일반적으로 발전량 예측에 필요한 변수들은 사업대상 지역의 경사면 일사량, 발전효율, 패널 설치 면적 등이다. 본 연구는 기상청 과거 10년간의 월 일사량 데이터를 활용하여 태양광 발전량을 분석하였다. 발전량을 예측하기 위해서 몬테카를로 시뮬레이션 기법을 적용하였으며, 태양광 패널의 발전효율과 일사량을 시뮬레이션의 변수들로 사용하였다. 새만금 태양광의 경우, 가장 태양광 발전량이 많은 달은 5월이며, 가장 적은 달은 12월로 예측되었으며, 발전량은 월평균 2.1 GWh이고, 최소 월 발전량은 0.3 GWh, 최대는 5.0 GWh로 분석되었다.

국내의 태양열발전 기술개발 동향 및 설계 (Design and Development Trends of Solar Thermal Power Generation in Korea)

  • 강용혁;김진수;김종규;이상남;유창균;윤환기
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2007년도 춘계학술대회
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    • pp.658-661
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    • 2007
  • KIER have been developing high-temperature solar technology, especially the solar thermal power generation system, since the early of 1990s. In 1994, the first research on high temperature solar technology started with PTC technology. At the moment the most advanced 10kW dish system is under demonstration for 10kW solar thermal power generation. Test results showed about 19.2% solar to electricity average efficiency. Another research activities of KIER is hybrid power generation. For hybridization, solar and LFG(landfill gas) are used. Another hybrid solar system is with solar chemical reaction. In this system, power unit is gas turbine, and the heat content of fuel(like natual gas) is upgraded by solar energy through chemical reaction. The latest project on solar thermal power generation is for 1 MW power tower system. This is the Korea-China Joint project.

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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.

태양열 화학반응 복합발전시스템의 설계 및 시공 사례 (Design and Construction Experiences of Solar Thermal Chemical Reaction Hybrid Power Generation)

  • 이상남;강용혁;김진수;윤환기;유창균;김종규
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2007년도 춘계학술대회
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    • pp.688-692
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    • 2007
  • Solar thermal power generation allows additional benefits of cheap thermal storage and easy hybridization with other fossil fuel-driven power generation. KIER has been performing the project for solar thermal chemical reaction hybrid power generation. The project is to build and operate the first solar thermal chemical reaction hybrid power generation system in Korea. For concentrating solar thermal energy $m^2$ dish type concentrator was adapted and a heliostat is installed for reflecting horizontal insolation to the dish concentrator. At the moment building the dish concentrator including mirror and heliostat with sun tracking system was completed and it's performance are being closely evaluated. This paper will introduce some detailed designs and construction procedures which we have experienced so far.

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일반화 가법모형을 이용한 태양광 발전량 예측 알고리즘 (Solar Power Generation Prediction Algorithm Using the Generalized Additive Model)

  • 윤상희;홍석훈;전재성;임수창;김종찬;박철영
    • 한국멀티미디어학회논문지
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    • 제25권11호
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    • pp.1572-1581
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    • 2022
  • Energy conversion to renewable energy is being promoted to solve the recently serious environmental pollution problem. Solar energy is one of the promising natural renewable energy sources. Compared to other energy sources, it is receiving great attention because it has less ecological impact and is sustainable. It is important to predict power generation at a future time in order to maximize the output of solar energy and ensure the stability and variability of power. In this paper, solar power generation data and sensor data were used. Using the PCC(Pearson Correlation Coefficient) analysis method, factors with a large correlation with power generation were derived and applied to the GAM(Generalized Additive Model). And the prediction accuracy of the power generation prediction model was judged. It aims to derive efficient solar power generation in the future and improve power generation performance.