• Journal of the Korean Society of Industry Convergence
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• v.23 no.3
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• pp.491-498
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• 2020

Recently, In the production line of batteries, charge and discharge tests are essential to verify battery characteristics. In this case, the battery charging uses a unidirectional AC/DC converter capable of output voltage and current control, and the discharge uses a resistive load. Since this method consumes energy during discharge, it must be replaced with a bi-directional AC/DC converter system capable of charging and discharging. Although it is difficult to replace the connected inverter part of the bi-directional AC/DC converter system due to the high cost, the spread of the solar-connected inverter rapidly increases as the current solar supply business is activated, and thereby the solar-connected type Inverter prices are plunging. If it can be used as a power converter for battery discharge without program modification of the solar-powered inverter, it will have competition. In this paper, propose a new battery discharge system using a combination of a photovoltaic DC/DC simulator and photovoltaic PCS using a battery to be used as a power converter for battery discharge without program modification of a low-cost photovoltaic inverter. In addition, propose an optimal solar characteristic curve for the stable operation of PCS. The validity of the proposed system was verified using a 500[W] class solar DC/DC simulator and a solar PCS prototype.

• Journal of the Korean Solar Energy Society
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• v.25 no.1
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• pp.1-10
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• 2005

In this paper, 150W photovoltaic system using neural network tracker is proposed, the system designed as the normal line of the solar cell always runs parallel the ray of the sun. This design can minimize the cosine loss of the system output results of solar cell are sensitive to the change of weather and insolation condition don't react rapidly to parameter condition change such as system circumstance and deterioration. To achieve precise operation of photovoltaic tracker system using method of intelligent control, Neural Network is used in the design of the photovoltaic tracker system drive. The control performance of this system drive influenced by the environment parameter such as weather condition and motor parameter variations. we used synchronous motor in this tracker and the experimental results show that the fixing system shows 10,159[Wh] and tracking system shows 12,360[Wh] electricity.

• Current Photovoltaic Research
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• v.2 no.3
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• pp.103-109
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• 2014

Highly efficient hydrogenated nanocrystalline silicon (nc-Si:H) thin-film solar cells were prepared on flexible stainless steel substrates using plasma-enhanced chemical vapor deposition. To enhance the performance of solar cells, material properties of back reflectors, n-doped seed layers and wide bandgap nc-SiC:H window layers were optimized. The light scattering efficiency of Ag back reflectors was improved by increasing the surface roughness of the films deposited at elevated substrate temperatures. Using the n-doped seed layers with high crystallinity, the initial crystal growth of intrinsic nc-Si:H absorber layers was improved, resulting in the elimination of the defect-dense amorphous regions at the n/i interfaces. The nc-SiC:H window layers with high bandgap over 2.2 eV were deposited under high hydrogen dilution conditions. The vertical current flow of the films was enhanced by the formation of Si nanocrystallites in the amorphous SiC:H matrix. Under optimized conditions, a high conversion efficiency of 9.13% ($V_{oc}=0.52$, $J_{sc}=25.45mA/cm^2$, FF = 0.69) was achieved for the flexible nc-Si:H thin-film solar cells.

• Bulletin of the Korea Photovoltaic Society
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• v.2 no.2
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• pp.36-43
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• 2016

최근 지구온난화 및 각종 미세먼지 문제 등을 해결하기 위한 방안으로 친환경 운송수단에 대한 관심이 증폭되고 있다. 이에 따라 자동차 배기가스 규제는 더욱 강화되고 있으며, 내연기관이 아닌 새로운 동력원을 활용하는 친환경 자동차의 개발이 요구되고 있다. 이러한 요구를 만족시키며, 지속 가능한 운송수단에 대한 연구 및 개발을 자극하기 위해서 지난 30년 전부터 American Solar Challenge/ World Solar Challenge 라는 이름의 태양광 자동차 랠리가 미국 및 호주에서 진행되어 왔다. 본 기고에서는 American Solar Challenge (ASC) 참관 내용 및 World Solar Challenge에 대해 소개하며, 이를 바탕으로 향후 솔라카 개발 방향에 대해 논하고자 한다.

• Current Photovoltaic Research
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• v.7 no.4
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• pp.85-96
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• 2019

Renewable energy is emerging as a reliable alternative source of energy, it is much safer, cleaner than conventional sources and has contributed significantly in this sector. However, there are still some challenges that needed to address this evolving technology. Artificial Intelligence (A. I.) can assess the past, optimize the present, and forecast the future. Therefore, A. I. will resolve most of these problems. Artificial intelligence is complex in nature, but it reduces error and aims to reach a greater degree of precision which make renewables smarter. This paper provides an overview of frequently used A. I. methods in solar energy applications. A sample algorithm is also provided for literature purposes and knowledge transfer.

• Proceedings of the KIEE Conference
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• 1991.07a
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• pp.496-499
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• 1991

Photovoltaic system has very low energy conversion efficiency and the output characteristics of solar cell is varied by the Insolation quantity and the temperature. In order to improve the efficiency of photovoltaic system, the energy which has got from solar cell must be use maximum. In this paper, it was stimultaneous executed both MPPT control and instrumentation in order that the operating point of solar cell is located maximum power point, using the PWM inverter and micro-computer, which is for the purpose of acquiring maximum power from the solar cell. As a result, maximum power point tracking had carried out and the efficiency of photovoltaic system improved, even if insolation quantity and the temperature are varied.

• 한국태양에너지학회:학술대회논문집
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• 2009.11a
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• pp.320-323
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• 2009

Weather data is an important variable for the estimation value of the program for evaluating energy performance. The difference in data value of major weather elements used in weather data (temperature, insolation amount) were compared and analyzed. It was found that temperature showed similar values but insolation amount took different values. Especially in Ulsan, since the Meteorological Association does not measure insolation amount. To optimize the incident solar radiation, the solar azimuth angles are needed for solar photovoltaic systems. Test results shows that the $60^{\circ}$installation angel higher efficient than the $30^{\circ}$ installation angel in winter.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2009.05a
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• pp.53-58
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• 2009

Solar photovoltaic power generation system is judging that by the most suitable new refreshing energy in real condition of our country forward continuously interest for solar photovoltaic power generation system and diffusion me enlarged. Output decline problem is item to consider necessarily and should be verified in continuous interest for solar photovoltaic power generation system are diffusion. Present plan that minimize output decline calculating module liver optimum interval that consider recitation of a poem to reduce output decline by module liver shade by incidence angle consideration and this that occupy most parts among factor because do output of solar photovoltaic power generation system well.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.137-138
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• 2019

The photovoltaic module connects the voltage generated by the solar cell to the inverter. In the photovoltaic module, a diode is used to block the reverse voltage from the inverter to the solar cell. The heat generation of this diode is the main cause of the solar connection fire. In this paper, we propose a method to monitor the heat generation of diodes and prevent fire by using IoT devices.

• Current Photovoltaic Research
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• v.8 no.1
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• pp.39-43
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• 2020

In this study, we predict the generation of end-of-life photovoltaic modules when Feed in Tariff applied, in Republic of Korea. Based on the installation of photovoltaic modules, we prepared three different senarios in order to estimate the generation of end-of-life photovoltaic modules. The senarios are i) early worn-out, ii) mid worn-out and iii) late-worn out senario. We selected the mid worn-out senario to estimated the amount of end-of-life photovoltaic modules in this study. Establishment of the end-of-life module generation scenario predicted generation of end-of-life photovoltaic module, and forecasted generation amount of end-of-life module to which Feed in Tariff was applied in consideration of installed photovoltaic modules installed by Feed in Tariff support. The generation of Feed in Tariff-applied end-of-life modules increased from 2021 to 2025 compared to without Feed in Tariff, and since then, the Feed in Tariff-applied end-of-life modules were generated as waste modules during the relevant period (2021 ~ 2025).