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차왕철(Wang-Cheol Cha),박정호(Joung-ho Park),조욱래(Uk-rae Cho),김재철(Jae-Chul Kim) 대한전기학회 2015 전기학회논문지 P Vol.64 No.1
Factors that have influence on solar power generation are specified into three aspects such as meteorological, geographical factors as well as equipment installation. Meteorological factors influence the most among the three. Insolation, sunshine hours, and cloud directly influence on solar power generation, whereas temperature and wind speed have impacts on equipment installation. This paper provides explanation over temperature-wind speed equation by calculating influence of temperature and wind speed on equipment installation. In order to conduct a research, pyranometer, anemometer, air thermometer, module thermometer are installed in 2MWp solar power plant located in South Cholla province, so that real-time meteorological data and generating amount can be analyzed through monitoring system. Besides, if existing and new methods are applied together, accuracy of prediction for generating amount is improved.
차왕철(Wang-Cheol Cha),박정호(Joung-Ho Park),조욱래(Uk-Rae Cho),김재철(Jae-Chul Kim) 한국조명·전기설비학회 2014 조명·전기설비학회논문지 Vol.28 No.10
To solve the problem of conventional fossil energy, utilization of renewable energy is growing rapidly. Solar energy as an energy source is infinite, and a variety of research is being conducted into its utilization. To change solar energy into electrical energy, we need to build a solar power plant. The efficiency of such a plant is strongly influenced by meteorological factors; that is, its efficiency is determined by solar radiation. However, when analyzing observed generation data, it is clear that the generated amount is changed by various factors such as weather, location and plant efficiency. In this paper, we proposed a solar power generation prediction algorithm using geographical factors such as latitude and elevation. Hence, changes in generated amount caused by the installation environment are calculated by curve fitting. Through applying the method to calculate this generation amount, the difference between real generated amount is analyzed.
태양광발전요소 데이터를 활용한 발전효율 퍼지 예측 모델 설계
차왕철(Wang-Cheol Cha),박정호(Joung-ho Park),조욱래(Uk-rae Cho),김재철(Jae-Chul Kim) 대한전기학회 2014 전기학회논문지 Vol.63 No.10
Quantity of the solar power generation is heavily influenced by weather. In other words, due to difference in insolation, different quantity may be generated. However, it does not mean all areas with identical insolation produces same quantity because of various environmental aspects. Additionally, geographic factors such as altitude, height of plant may have an impact on the quantity. Hence, through this research, we designed a system to predict efficiency of the solar power generation system by applying insolation, weather factor such as duration of sunshine, cloudiness parameter and location. By applying insolation, weather data that are collected from various places, we established a system that fits with our nation. Apart from, we produced a geographic model equation through utilizing generated data installed nationwide. To design a prediction model that integrates two factors, we apply fuzzy algorithm, and validate the performance of system by establishing simulation system.
박정호(Joung-Ho Park),차왕철(Wang-Cheol Cha),이정훈(Jung-Hoon Lee),조욱래(Uk-Rae Cho),김재철(Jae-Chul Kim) 한국조명·전기설비학회 2015 조명·전기설비학회논문지 Vol.29 No.3
The accelerated thermal aging of CSPE(Chloro Sulfonate Polyethylene) was carried out for 40.41, 121.22, 202.04 days, 16.82, 50.45, 84.09 days and 7.32, 21.96, 36.59 days at 100, 110, and 120°C, respectively, which are equivalent to 20, 60, 100 years of aging at 50°C. The permittivities and the apparent densities of the accelerated thermally aged CSPE samples are increased with accelerated thermal aging year but EAB(Elongation at Break) is decreased with that. The dielectric strength and the electric breakdown of the non-accelerated and accelerated thermally aged CSPE samples do not depend on accelerated thermal aging year and applied voltage rising time. density and EAB measures.