• Journal of Digital Convergence
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• 제12권3호
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• pp.243-248
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• 2014

Recently, solar energy is expanding to combination of computing in real time by tracking the position of the sun to estimate the angle of inclination and make up freshly correcting a part of the solar radiation. Solar power is need that reliably linked technology to power generation system renewable energy in order to efficient power production that is difficult to output predict based on the position of the sun rise. In this paper, we analysis of prediction model for solar power generation to estimate the predictive value of solar power generation in the development of real-time weather data. Photovoltaic power generation input the correction factor such as temperature, module characteristics by the solar generator module and the location of the local angle of inclination to analyze the predictive power generation algorithm for the prediction calculation to predict the final generation. In addition, the proposed model in real-time national weather service forecast for medium-term and real-time observations used as input data to perform the short-term prediction models.

• Journal of Advanced Marine Engineering and Technology
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• 제41권1호
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• pp.99-104
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• 2017

This study evaluated the heating performance of a hybrid heat pump system. The system was installed in a $100-m^2$ greenhouse to utilize surplus solar energy. A hybrid heat pump system was installed at Jocheon-ri, Jeju Island, for an empirical evaluation of the performance. The system consists of a heat storage tank and plate heat exchangers for several heat exchanges between the greenhouse and heat pump or storage tank. The system uses R410a as the working fluid and is controlled automatically by a defined set temperature of the greenhouse. This system incorporates two kinds of heat sources: outdoor air and a storage tank that collects heat from the topside of the greenhouse. The results showed that the heating capacity was 19.9 kW in the outdoor air source mode and 21.4 kW with direct heating from hot water in the thermal storage tank. These results are very similar to those of a previous study.

• Korean Journal of Remote Sensing
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• 제29권1호
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• pp.123-135
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• 2013

The reflectance observed in the visible channels of a geostationary meteorological satellite can be used to calculate the amount of cloud by comparing the reflectance with the observed solar radiation data at the ground. Using this, the solar radiation arriving at the surface can be estimated. This study used the Meteorological Imager (MI) reflectance observed at a wavelength of 675 nm and the Geostationary Ocean Color Imager (GOCI) reflectance observed at similar wavelengths of 660 and 680 nm. Cloudy days during a typhoon and sunny days with little cloud cover were compared using observation data from the geostationary satellite. Pixels that had more than 40% reflectance in the satellite images showed less than 0.3 of the cloud index and blocked more than 70% of the solar energy. Pixels that showed less than 15% reflectance showed more than 0.9 of the cloud index and let through more than 90% of the solar energy to the surface. The calculated daily accumulated solar radiation was compared with the observed daily accumulated solar radiation in 22 observatories of the Korean Meteorological Administration. The values calculated for the COMS and MTSAT MI sensors were smaller than the observation and showed low correlations of 0.94 and 0.93, respectively, which were smaller than the 0.96 correlation coefficient calculated for the GOCI sensor. The RMSEs of MTSAT, COMS MI and GOCI calculation results showed 2.21, 2.09, 2.02 MJ/$m^2$ in order. Comparison of the calculated daily accumulated results from the GOCI sensor with the observed data on the ground gave correlations and RMSEs for cloudy and sunny days of 0.96 and 0.86, and 1.82 MJ/$m^2$ and 2.27 MJ/$m^2$, respectively, indicating a slightly higher correlation for cloudy days. Compared to the meteorological imager, the geostationary ocean color imager in the COMS satellite has limited observation time and observation is not continuous. However, it has the advantage of providing high resolution so that it too can be useful for solar energy analysis.

• Journal of the Korean earth science society
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• 제38권2호
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• pp.129-140
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• 2017

Global solar radiation was calculated in this research using ground-base measurement data, meteorological satellite data, and GWNU (Gangneung-Wonju National University) solar radiation model. We also analyzed the accuracy of the GWNU model by comparing the observed solar radiation according to the total cloud cover. Our research was based on the global solar radiation of the GWNU radiation site in 2012, observation data such as temperature and pressure, humidity, aerosol, total ozone amount data from the Ozone Monitoring Instrument (OMI) sensor, and Skyview data used for evaluation of cloud mask and total cloud cover. On a clear day when the total cloud cover was 0 tenth, the calculated global solar radiations using the GWNU model had a high correlation coefficient of 0.98 compared with the observed solar radiation, but root mean square error (RMSE) was relatively high, i.e., $36.62Wm^{-2}$. The Skyview equipment was unable to determine the meteorological condition such as thin clouds, mist, and haze. On a cloudy day, regression equations were used for the radiation model to correct the effect of clouds. The correlation coefficient was 0.92, but the RMSE was high, i.e., $99.50Wm^{-2}$. For more accurate analysis, additional analysis of various elements including shielding of the direct radiation component and cloud optical thickness is required. The results of this study can be useful in the area where the global solar radiation is not observed by calculating the global solar radiation per minute or time.

• The Journal of Korean Institute of Information Technology
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• 제17권9호
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• pp.19-30
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• 2019

Photovoltaic power generation requires MPPT algorithm to track stable and efficient maximum power output power point according to external changes such as solar radiation and temperature. This study implemented a model that could track MPP more quickly than original MPPT algorithm using artificial neural network. The proposed model finds the current and voltage of MPP using the original MPPT algorithm for various combinations of insolation and temperature for training data of artificial neural networks. The acquired MPP data was learned using the input node as insolation and temperature and the output node as the current and voltage. The Experiment results show tracking time of the original algorithms P&O, InC and Fuzzy were respectively 0.428t, 0.49t and 0.4076t for the 0t~0.3t range, and MPP tracking time of the proposed model was 0.32511t and it is 0.1t faster than the original algorithms.

• The Transactions of the Korean Institute of Power Electronics
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• 제7권2호
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• pp.171-177
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• 2002

The Photovoltaic systems with solar cell way Provide electrical energy to the utility/consumers, which are becoming one of the promising energy substitutes. The photovoltaic system can be classified into two types : One is the stand-alone type, and the other utility interactive one. The latter can return the generated power to the utility, but the former can't. The utility interactive systems are so valuable for peak power cut in summer season. In the photovoltaic systems the maximum power point tracking (MPPT) has been studied for the increase of the generating energy of the photovoltaic system. There are many control methods of MPPT, but a new MPPT algorithm is proposed to overcome the disadvantages of the conventional ones, and as a result the proposed method enables to improve both tracking ability and generating efficiency of photo voltaic system without DC chopper.

• Aerospace Engineering and Technology
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• 제4권1호
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• pp.77-85
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• 2005

MPPT(Maximum power point tracking) is used in photovoltaic systems to maximize the solar array output power, irrespective of the temperature and irradiation conditions and of the load electrical characteristics. In this paper, new MPPT algorithm is proposed for the small satellite in LEO. As the proposed MPPT algorithm does not need any calculation of power by multiplication of voltage and current, it can be made by the simply analog circuit. In this study, the proposed MPPT algorithm is verified by the simulation and experimental in the many conditions that can change the characteristics of the solar array.

• Proceedings of the KIEE Conference
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• 대한전기학회 2002년도 하계학술대회 논문집 B
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• pp.1373-1375
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• 2002

태양광발전 시스템을 설치하여 동작상태의 데이터를 하고, 시스템을 분석하기 위한 목적의 데이터 취득 장치가 널리 이용되고 있다. 본 논문에서는 컴퓨터 기반의 데이터취득시스템(Computer-Based Data Acquisition System)의 개발에 대해 서술하고 있다. 제안된 시스템은 시스템이 설치될 곳의 환경요소(일사량, 온도 등) 및 전기적 출력 요소를 측정하기 위한 센서들로 구성하였으며, 측정된 데이터를 컨디셔닝 (Conditioning)과 변환 과정을 거친 후 데이터 취득카드를 통해 컴퓨터에 인터페이스(Interrace)시켰다. 태양광 발전 시스템의 동작상태를 실시간으로 모니터링하고, 취득된 데이터를 저장 및 분석하기 위한 목적으로 본 논문에서는 랩뷰-소프트웨어(Labview-Software)를 적용시킨 모니터링 시스템을 제안하였다. 제안된 모니터링 시스템은 그래픽화된 데이터-프로세싱 알고리즘을 사용하여, 상대적으로 짧은 기간 내에 시스템을 구현할 수 있고 시스템의 측정요소가 설치초기에 예상한 것보다 많아지거나 시스템이 용량이 증대되는 경우에도 그 적용성이 용이한 장점이 있다. 제안된 본데이터 취득 시스템을 독립형 태양광 설비에 적용하여 동작상태를 실시간으로 관찰하였고 동작특성을 분석 및 평가하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• 제7권3호
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• pp.512-517
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• 2006

In this study, we designed a digital fuzzy logic controller based on FPGA for MPPT of the solar power generation system. A fuzzy algorithm to control the power tracking function of a boost converter has been built into the FPGA, and applied to the small scaled solar power generation system. The embodied controller showed a stable operation characteristic with the small output voltage ripple for the intensity change of solar radiation. This result proves that the implementation of the power tracking controller using FPGA is an effective way compared to the existing one using microprocessors.

• Journal of Advanced Marine Engineering and Technology
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• 제34권5호
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• pp.625-631
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• 2010

Recently, the fossil energy and its related environmental problems (increase in PPM of $CO_2$) have been increased. Therefore, the interests on new and renewable energy have been increased as the one of the future industrial leading items. Among the renewable energy, the PV (Photo-Volatic) systems has particular merit at the electricity can be directly acquired from the sun. Usually in PV systems, the ambient temperature and air velocity have strongly related on the effect of power generation of PV panel. So the purpose of this study is to clarify relationships between power generation of PV panel and outer environmental factors like temperature and air velocity. And these types of applications using natural energy are strongly affected by the climate conditions. Therefore the data of this study were re-arranged in terms of non-dimensional correlations.