• Journal of Electrical Engineering and Technology
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• 제10권3호
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• pp.1356-1362
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• 2015

The location of PV systems in distribution system has been increased as one of countermeasure for global environmental issues. As the operation efficiency of PV systems is getting decreased year by year due to the aging phenomenon and maintenance problems, the optimal algorithm for state diagnosis in PV systems is required in order to improve operation performance in PV systems. The existing output prediction algorithms considering various parameters and conditions of PV modules could have complicated calculation process and then their results may have a possibility of significant prediction error. To solve these problems, this paper proposes an optimal prediction algorithm of PV system by using least square methods of linear regression analysis. And also, this paper presents a performance evaluation algorithm in PV modules based on the proposed optimal prediction algorithm of PV system. The simulation results show that the proposed algorithm is a practical tool of the state diagnosis for performance improvement in PV systems.

• 한국태양에너지학회 논문집
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• 제37권2호
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• pp.35-45
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• 2017

The types of installation of the photovoltaic system applied to domestic residential buildings are classified as follows: Mounted modules with air circulation, semi-integrated modules with air duct behind, integrated modules with fully insulated back. In order to study generation characteristics of PV system, we verified the validity of interpretation program based on long-term measurement data of demonstration house installed in BAPV form and also analyzed the generation characteristics and performance of each installation type. The results are as follows. First, the RMSE of amount of generation and simulation according to annual daily insolation of demonstration system located in Daejeon was 0.98kWh and the range of relative error of monthly power generation was -5.8 to 3.1. Second, the average annual PR of mounted modules was 82%, semi-integrated modules 76.1% and integrated modules 71.9%. This differences were attributed to temperature loss. Third, the range of operating temperature of annual hourly photovoltaic modules was -6.5 to $61.0^{\circ}C$ for mounted modules, $-6.0{\sim}73.9^{\circ}C$ for semi-integrated modules and -5.5 to $88.9^{\circ}C$ for integrated modules. The temperature loss of each installation type was -14.0 to 16.1%, -13.8 to 21.9%, and -13.6 to 28.5%, respectively.

• 한국태양에너지학회:학술대회논문집
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• 한국태양에너지학회 2011년도 추계학술발표대회 논문집
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• pp.45-50
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• 2011

The efficiency of solar cell was about 4[%] in initial stage of photovoltaic industry, but it has quite a lot of efficiency through technology advances. Today, the efficiency of c-Si solar cells is about 17 to 19[%] and the efficiency of PV modules is about 14 to 15 [%]. We called that electrical losses occurred in the Conversion of solar cells to PV modules are CTM loss(Cell To Module loss), the CTM loss typically has a value of about3~5[%]. The more efficiency of solar cell increase, differences are larger because the efficiency decrease owing to physical or technical problems occurred in the Conversion of solar cells to PV modules. In this study, the power loss factors occurred in the Conversion of solar cells to PV modules are analyzed and it is proposed that how to reduce losses of the PV module. The types of power loss factor are (1)losses of front glass and encapsulant(generally EVA sheet), (2)losses by sorting miss, (3)losses by interconnection, (4)losses by the field aging of PV modules. In further study, experimental and evaluation will be conducted to make demonstrate for proposed solutions.

• 마이크로전자및패키징학회지
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• 제15권2호
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• pp.55-61
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• 2008

본 논문은 블루투스 모듈의 구조 및 솔더접합부에 대한 신뢰성 평가에 국한된 기존의 방법을 확장하여 정량적인 신뢰성 평가를 수행한 결과를 나타낸다. Field 환경조건에서의 정량적인 신뢰성 평가를 위해, 온도 싸이클링(temperature/thermal cycling)에서의 온도차를 가속스트레스로 선정하여 가속수명시험을 실시하였다. 가속수명시험을 통해 구한 고장시간 데이터들을 이용하여 수명분포 매개변수들을 추정하고 코핀-만슨(Coffin-Manson) 모델을 이용하였다. 가속수명시험을 수행한 결과, 블루투스 모듈의 고장모드는 Open, 고장메커니즘은 크랙(Crack)과 박리(Delamination)였다. Field에서 수거한 고장품들의 고장모드와 고장메커니즘이 가속수명시험을 통해 재현되었다. 또한 본 논문에서 블루투스 모듈이 Field에서 받을 수 있는 온도 싸이클링에서의 다양한 온도차에 대한 정량적인 수명을 예측할 수 있는 방법이 제시되었다. 제안된 방법을 이용하여 온도차 $70^{\circ}C$를 받고 있는 블루투스 모듈의 $B_{10}$ 수명은 약 4년으로 추정되었다.

• 한국농공학회지
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• 제42권
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• pp.24-30
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• 2000

A system for evaluating streamflow data (KORSAS) was developed, and is operated using PC based Windows to help the hydrological observation practitioner's working in Korea Water Resources Corporation (KOWACO). This system has modules including; DB access and data management, flow measurement arranging, H-Q relation deriving, area rainfall calculating, flow calculating, and flow evaluating modules. Evaluation of observed streamflow is accomplished through the following processes. First, hourly streamflow data is calculated from water level data stored in a DB server by applying the rating relationship between water level and flow rates derived from the past flow measurements. Second, hourly areal rainfal data is calculated from point data stored in the DB server by applying Thiessen networks. Third, hydrographs are displayed on a daily, weekly, monthly, or seasonal duration basis, and are compared to hydrographs of reservoir inflow, hydrographs at water level observation stations and hydrographs derived from simulated results using models.

• 전력전자학회논문지
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• 제25권6호
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• pp.496-502
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• 2020

The reliability of a solid-state transformer (SST) is one of the important aspects to consider when replacing a conventional low-frequency passive transformer with SST for urban railway vehicles. Lifetime evaluation of SST in the design phase is therefore essential in guaranteeing a certain SST reliability. In this study, a lifetime evaluation of power semiconductor devices in SST is performed with respect to temperature stress. For a case study, a 3 MW SST with three kinds of power modules (one IGBT module and two SiC-MOSFET modules) is used for the lifetime estimation under the operation profile of urban railway vehicles.

• 한국수자원학회논문집
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• 제55권6호
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• pp.471-480
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• 2022

본 연구에서는 도시하천관리를 위한 다양한 분석 및 평가 모델들과 데이터 수집 모듈을 적용한 연계플랫폼을 개발하였다. 연계플랫폼에 적용된 모듈은 데이터 수집 및 제공 모듈, 홍수분석 모듈, 하천 평가 모듈 그리고 제방 붕괴 시뮬레이션 모듈로 효과적인 도시하천 관리를 위하여 선별하여 적용하였다. 연계플랫폼은 분석과 평가 모듈에 적용하기 위한 데이터를 다양한 기관으로부터 수집하여 전처리 과정을 통해 정제하여 저장한다. 저장된 데이터는 각 모듈의 입력자료로 가공하여 사용되며, 플랫폼을 통해 Open API로도 제공된다. 홍수분석 모듈은 도시 내부 및 하천에서 발생하는 홍수를 분석하여 대비할 수 있도록 제공되며, 하천 평가 모듈은 다방면으로 하천을 평가하여 하천 계획수립 및 관리에 이용된다. 제방 붕괴 시뮬레이션 모듈은 가상의 붕괴 상황에 대한 분석을 통해 제방 붕괴로 인해 발생 가능한 피해영역을 도출하여 대비책을 세우는 데 이용될 수 있다.

• 한국원자력학회:학술대회논문집
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• 한국원자력학회 1999년도 추계학술발표회요약집
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• pp.90.1-90
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• 1999

• 한국산학기술학회논문지
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• 제20권10호
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• pp.493-502
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• 2019

최근, 기후변화 및 에너지고갈 등의 문제를 대응하기 위하여, 정부에서 추진하는 재생에너지 3020 정책을 기반으로 태양광전원을 포함한 신재생에너지의 설치가 큰 폭으로 증가되고 있다. 하지만, 설치된 태양광모듈은 주변 환경요인에 따라 다양한 열화현상이 발생하여, 전기적 성능과 수명이 크게 감소될 수 있다. 이러한 문제를 해결하기 위하여, 태양광모듈 판매사업자가 제시한 기대 수명 이전에 새로운 모듈로 교체되는 경우가 증가하고 있다. 따라서, 본 논문에서는 태양광모듈의 성능저하율을 고려하여, 폐기 또는 새로운 모듈로 교체하는 시기를 평가할 수 있는 폐기진단 알고리즘을 제안한다. 또한, 비용요소와 편익요소로 구성된 경제성평가 모델링을 제시하고, 제안한 알고리즘을 바탕으로 태양광모듈의 성능저하율에 따른 경제성을 평가한 결과, 교체하기 전의 태양광모듈의 성능저하율은 3[%]이고, 교체한 경우의 성능저하율은 1[%]인 경우, 설치 후 10년째에 태양광모듈을 교체하는 것이 가장 큰 값(1.347)의 B/C ratio을 가지므로 최적의 경제적인 교체연도임을 알 수 있다. 따라서, 폐기 또는 교체 판별 여부와 어느 시기에 교체하는 것이 가장 경제적인가를 판단할 수 있어, 본 논문에서 제시한 알고리즘의 유용성을 확인하였다.

• 한국환경과학회지
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• 제27권7호
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• pp.531-541
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• 2018

Road freezing caused by snowfall during wintertime causes traffic congestion and many accidents. To prevent such problems, we developed, in this study, a system to predict road freezing based on weather forecast data and the freezing generation modules. The weather forecast data were obtained from a high-resolution model with 1 km resolution for Jeju Island from 00:00 KST on December 1, 2017, to 23:00 KST on February 28, 2018. The results of the weather forecast data show that index of agreement (IOA) temperature was higher than 0.85 at all points, and that for wind speed was higher than 0.7 except in Seogwipo city. In order to evaluate the results of the freezing predictions, we used model evaluation metrics obtained from a confusion matrix. These metrics revealed that, the Imacho module showed good performance in precision and accuracy and that the Karlsson module showed good performance in specificity and FP rate. In particular, Cohen's kappa value was shown to be excellent for both modules, demonstrating that the algorithm is reliable. The superiority of both the modules shows that the new system can prevent traffic problems related to road freezing in the Jeju area during wintertime.