• 제목/요약/키워드: PV Power Plants

검색결과 52건 처리시간 0.022초

원자력발전소 적용 고밀도 폴리에틸렌 배관의 맞대기 융착절차 및 검증절차 분석 (Butt-fusing Procedures and Qualifications of High Density Polyethylene Pipe for Nuclear Power Plant Application)

  • 오영진;박흥배;신호상
    • Journal of Welding and Joining
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    • 제31권6호
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    • pp.1-7
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    • 2013
  • In nuclear power plants, lined carbon steel pipes or PCCPs (pre-stressed concrete cylinder pipes) have been widely used for sea water transport systems. However, de-bonding of linings and oxidation of PCCP could make problems in aged NPPs (nuclear power plants). Recently at several NPPs in the United States, the PCCPs or lined carbon steel pipes of the sea water or raw water system have been replaced with HDPE (high density polyethylene) pipes, which have outstanding resistance to oxidation and seismic loading. ASME B&PV Code committee developed Code Case N-755, which describes rules for the construction of buried Safety Class 3 polyethylene pressure piping systems. Although US NRC permitted HDPE materials for Class 3 buried piping, their permission was limited to only 10-year operation because of several concerns including the quality of fusion zone of HDPE. In this study, various requirements for fusion qualification test of HDPE and some regulatory issues raised during HDPE application review in foreign NPPs are introduced.

원전 역지 밸브/배관 맞대기 용접부와 밸브 몸체의 취성 파괴에 미치는 잔류응력 및 Charpy V-노치 충격에너지의 영향 고찰 (Investigation on Effects of Residual Stresses and Charpy V-Notch Impact Energy on Brittle Fractures of the Butt Weld between Close Check Valve and Piping, and of the Valve Body in Nuclear Power Plants)

  • 김종성;김현수
    • 한국압력기기공학회 논문집
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    • 제11권1호
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    • pp.69-73
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    • 2015
  • The study investigated effects of residual stresses and Charpy impact energy on brittle fractures of the butt weld between the valve and the piping, and of the valve body in nuclear power plants via a linear elastic fracture mechanics approach in the ASME B&PV Code, Sec.XI and finite element analysis. Weld residual stress in a butt weld between close check valve and piping, and residual stress in the valve due to casting process were assumed to be proportional to yield strength of base metal. Operating stresses in the butt weld and the valve body were calculated using approximate engineering formulae and finite element analysis, respectively. Applied stress intensity factors were calculated by assuming postulated cracks with specific sizes and then by substituting the residual stresses and the operating stresses into engineering formulae presented in the ASME B&PV Code, Sec.III. Plane strain fracture toughness was derived by using a correlation between Charpy V-notch impact energy and fracture toughness. Structural integrity of the weld and the body against brittle fracture was assessed by using the applied stress intensity factors, plane strain fracture toughness and the linear elastic fracture mechanics approach. As a result, it was identified that the structural integrity was maintained with decreasing the residual stress levels and increasing the Charpy V-notch impact energy.

딥러닝과 I-V 곡선을 이용한 태양광 스트링 고장 진단 (Fault Diagnosis of PV String Using Deep-Learning and I-V Curves)

  • 신우균;오현규;배수현;주영철;황혜미;고석환
    • Current Photovoltaic Research
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    • 제10권3호
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    • pp.77-83
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    • 2022
  • Renewable energy is receiving attention again as a way to realize carbon neutrality to overcome the climate change crisis. Among renewable energy sources, the installation of Photovoltaic is continuously increasing, and as of 2020, the global cumulative installation amount is about 590 GW and the domestic cumulative installation amount is about 17 GW. Accordingly, O&M technology that can analyze the power generation and fault diagnose about PV plants the is required. In this paper, a study was conducted to diagnose fault using I-V curves of PV strings and deep learning. In order to collect the fault I-V curves for learning in the deep learning, faults were simulated. It is partial shade and voltage mismatch, and I-V curves were measured on a sunny day. A two-step data pre-processing technique was applied to minimize variations depending on PV string capacity, irradiance, and PV module temperature, and this was used for learning and validation of deep learning. From the results of the study, it was confirmed that the PV fault diagnosis using I-V curves and deep learning is possible.

Automatic Detection of Malfunctioning Photovoltaic Modules Using Unmanned Aerial Vehicle Thermal Infrared Images

  • Kim, Dusik;Youn, Junhee;Kim, Changyoon
    • 한국측량학회지
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    • 제34권6호
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    • pp.619-627
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    • 2016
  • Cells of a PV (photovoltaic) module can suffer defects due to various causes resulting in a loss of power output. As a malfunctioning cell has a higher temperature than adjacent normal cells, it can be easily detected with a thermal infrared sensor. A conventional method of PV cell inspection is to use a hand-held infrared sensor for visual inspection. The main disadvantages of this method, when applied to a large-scale PV power plant, are that it is time-consuming and costly. This paper presents an algorithm for automatically detecting defective PV panels using images captured with a thermal imaging camera from an UAV (unmanned aerial vehicle). The proposed algorithm uses statistical analysis of thermal intensity (surface temperature) characteristics of each PV module to verify the mean intensity and standard deviation of each panel as parameters for fault diagnosis. One of the characteristics of thermal infrared imaging is that the larger the distance between sensor and target, the lower the measured temperature of the object. Consequently, a global detection rule using the mean intensity of all panels in the fault detection algorithm is not applicable. Therefore, a local detection rule was applied to automatically detect defective panels using the mean intensity and standard deviation range of each panel by array. The performance of the proposed algorithm was tested on three sample images; this verified a detection accuracy of defective panels of 97% or higher. In addition, as the proposed algorithm can adjust the range of threshold values for judging malfunction at the array level, the local detection rule is considered better suited for highly sensitive fault detection compared to a global detection rule. In this study, we used a panel area extraction method that we previously developed; fault detection accuracy would be improved if panel area extraction from images was more precise. Furthermore, the proposed algorithm contributes to the development of a maintenance and repair system for large-scale PV power plants, in combination with a geo-referencing algorithm for accurate determination of panel locations using sensor-based orientation parameters and photogrammetry from ground control points.

분산형 태양광 발전 시스템을 위한 실시간 원격 모니터링 시스템 구현 (An Implementation of Realtime Remote-Monitoring System for Distributed Photovoltaic Power Plants)

  • 김창준;김정기;장경식
    • 한국정보통신학회논문지
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    • 제19권10호
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    • pp.2450-2456
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    • 2015
  • 본 논문에서는 분산형 태양광 발전 시스템에 적용 가능한 실시간 원격 모니터링 시스템을 소개한다. 제안된 시스템은 상태정보 수집 장치인 PVC(PhotoVoltaic Client), 모바일 애플리케이션인 UTC(User Terminal Client), 시스템 운영프로그램인 OTC(Operating Terminal Client), 그리고 통신서버와 데이터를 저장하는 서버로 구성되어 있으며, 상태정보 수집 장치는 인버터와 시리얼통신을 통하여 운영정보를 수집하고, 수집된 정보는 서버에 전송되어 데이터 서버에 저장된다. 저장된 정보는 모바일 애플리케이션을 통하여 모니터링 되고, 수집장치 및 사용자 등의 정보는 운영프로그램을 통하여 관리된다. 또한, 제안된 시스템은 사용자에게 실시간으로 발전량 및 고장진단에 관한 정보를 제공함으로써, 고장인지 향상 및 유지보수비용 감소의 가능성을 제시해 주었다.

철도인프라용 태양광발전시스템 확대를 위한 기상정보 활용 발전량 예측 비교 연구 (Comparative Study to Predict Power Generation using Meteorological Information for Expansion of Photovoltaic Power Generation System for Railway Infrastructure)

  • 유복종;박찬배;이주
    • 한국철도학회논문집
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    • 제20권4호
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    • pp.474-481
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    • 2017
  • 국내에서 태양광 발전설비 설계 시 설계 단계에서의 태양광발전소의 발전량 예측은 국내 현장임에도 불구하고 PVsyst, PVWatts 등 해외 발전량 예측 프로그램과 해외 기상 자료를 이용하여 발전량을 예측하는 경우가 대부분을 차지하고 있는 실정이다. 본 논문에서는 기상정보를 활용한 발전량 예측 비교 연구를 위하여 현재 운영중인 2개 지역의 국내 태양광발전소를 대상지로 선정하였다. 발전량 예측 프로그램인 PVsyst를 활용하여 Meteonorm 7.1과 NASA-SSE의 해외 기상정보를 이용한 발전량 예측값과 국내 기상청 (Korea Meteorology Administration) 기상정보를 활용한 발전량 예측 정확성을 비교하였다. 추가적으로, 기상자료 비교 분석을 통한 발전량 예측 개선 방안을 연구하고, 최종적으로 실제 발전량과의 비교 분석을 통해 기후요소가 고려된 태양광 발전량 예측 수정 모델을 제시하였다.

A Study of Grid-Connected PV System with Power Control Structure

  • Vu, Trung-Kien;Bae, Youngsang;Oh, Seongjin
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2012년도 전력전자학술대회 논문집
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    • pp.329-330
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    • 2012
  • The rising popularity of renewable energy sources resulted in development of the units of higher rated powers, where the large-scale plants and grid-connected type solar power systems are increased. Therefore, the importance of grid stabilization, which depends on each country or system-type, has been strengthened by different grid-codes or certifications. In this paper, the control scheme of three-phase photovoltaic system is enhanced, where both injected active and reactive powers are simultaneously controlled with the consideration of the certification of the Germany Association of Energy and Water Industries (BDEW). Experimental results are shown to verify the theoretical analysis.

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국내 전력거래제도하에서 IGCC 사업성 확보를 위한 정책 제언 (A Study on the Feasibility of IGCC under the Korean Electricity Market)

  • 고경호
    • 한국수소및신에너지학회논문집
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    • 제22권1호
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    • pp.118-127
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    • 2011
  • An IGCC was evaluated as one of the next generation technologies that would be able to substitute for coal-fired power plants. According to "The 4th Basic Plan of Long-term Electricity Supply & Demand" which is developed by the Electricity Business Acts, the first IGCC will be operated at 2015. Like other new and renewable energy such as solar PV, Fuel cell, The IGCC is considered as non-competitive generation technology because it is not maturity technology. Before the commercial operation of an IGCC in our electricity market, its economic feasibility under the Korean electricity market, which is cost-based trading system, is studied to find out institutional support system. The results of feasibility summarized that under the current electricity trading system, if the IGCC is considered like a conventional plant such as nuclear or coal-fired power plants, it will not be expected that its investment will be recouped within life-time. The reason is that the availability of an IGCC will plummet since 2016 when several nuclear and coal-fired power plants will be constructed additionally. To ensure the reasonable return on investment (NPV>0 IRR>Discount rate), the availability of IGCC should be higher than 77%. To do so, the current electricity trading system is amended that the IGCC generator must be considered as renewable generators to set up Price Setting Schedule and it should be considered as pick load generators, not Genco's coal fired-generators, in the Settlement Payment.

원자력발전소 초음파검사자 기량검증시험 결과 검토 (Study on Performance Demonstration Test Result of Ultrasonic Examination in Nuclear Power Plant)

  • 정남두;문용식;이승표
    • 비파괴검사학회지
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    • 제34권5호
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    • pp.384-389
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    • 2014
  • 본 논문에서는 국내 원자력발전소 초음파검사자 기량검증시험 결과를 검토하였다. 원자력발전소 안전관련 설비에 대한 초음파검사 기량검증 요건은 ASME B&PV Code Section XI 1989 겨울 부록에서 최초로 언급되었다. 한국수력원자력(주)은 ASME Code Section XI, Appendix VIII의 요건 적용을 위해 국내 원자력발전소에 적합한 한국형 초음파검사 기량검증(KPD) 시스템을 개발, 규제기관의 승인을 받아 2004년 7월부터 운영하고 있다. 본 논문에서는 2004년부터 2013년까지 수행한 초음파검사자 기량검증시험 결과의 검토 내용으로 초음파검사 결함 검출 향상 및 기량훈련시스템 연구 개발에 도움을 줄 것으로 기대한다.

Validation of applicability of induction bending process to P91 piping of prototype Gen-IV sodium-cooled fast reactor (PGSFR)

  • Tae-Won Na;Nak-Hyun Kim;Chang-Gyu Park;Jong-Bum Kim;Il-Kwon Oh
    • Nuclear Engineering and Technology
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    • 제55권10호
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    • pp.3571-3580
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    • 2023
  • The application of the induction bending process to pipe systems in various industrial fields is increasing. Recently, efforts have also been made to apply this bending process to nuclear power plants because it can innovatively reduce welded parts of the curved pipes, such as elbows. However, there have been no cases of the application of induction bending to the piping of nuclear power plants. In this study, the applicability of the P91 induction bending piping for the sodium-cooled fast reactor PGSFR was validated through high temperature low cycle fatigue tests and creep tests using P91 induction bending pipe specimens. The tests confirmed that the materials sufficiently satisfied the fatigue life and the creep rupture life requirements for P91 steel at 550 ℃ in the ASME B&PV Code, Sec. III, Div. 5. The results show that the effects of heating and bending by the induction bending process on the material properties were not significant and the induction bending process could be applicable to piping system of PGSFR well.