• Journal of Astronomy and Space Sciences
• /
• 제25권2호
• /
• pp.139-148
• /
• 2008

태양활동이 감소하는 시기에는 코로나 구멍(Coronal hole)과 관련된 고속 태양풍(High-speed stream)이 빈번하게 발생하는데, 고속 태양풍 기간 동안에는 서브스톰(Substorm)이 대략 $2{\sim}4$시간 간격으로 반복적으로 발생한다. 이 연구에서는 태양활동이 감소하는 시기 중 2003년 후반기 즉, 7월부터 12월 사이의 고속 태양풍 기간 동안에 반복적으로 발생한 222건의 서브스톰을 선정하여 연속한 두 서브스톰 사이의 태양풍 에너지 유입 정도를 정량적으로 산출하였다. 이를 위해 Akasofe ${\varepsilon}$-parameter를 인접한 두 서브스톰 발생시간에 대해 시간 적분하여 한 서브스톰이 발생 후 다음 서브스톰이 발생하기 전까지의 에너지 유입량을 산출하였다. 이와 같은 방법을 고속 태양풍 기간 동안에 반복적으로 발생한 222건의 서브스톰에 대해 적용하여 통계를 산출하였다. 그 결과로서 두 서브스톰 사이의 평균 태양풍 에너지 유입량은 $1.28{\times}10^{14}J$이고, 전체 서브스톰 이벤트 중 약 85%가 $2{\times}10^{13}{\sim}2.3{\times}10^{14}J$ 범위에 있음을 알 수 있었다. 따라서 두 서브스톰 사이의 태양풍 에너지 유입량은 경우에 따라 상당히 다른 값을 가질 수 있는 것으로 보이며, 태양풍 에너지 유입량만으로 서브스톰이 발생하는 시점을 예측하기에는 어려움이 있다고 생각된다. 더불어 이 논문에서는 연속적인 서브스톰의 발생에 영향을 미치는 여러 요소에 대한 논의를 제공한다.

• 한국태양에너지학회 논문집
• /
• 제34권2호
• /
• pp.98-106
• /
• 2014

The effect of wake on the performance and load of a downstream wind turbine on a floating platform is investigated with a computer simulation in this study. The floating platform consists of a square platform having a dimension of $200m{\times}200m$ with four 2 MW wind turbines installed. For the simulation, only two wind turbines in series with the wind direction were considered and the floating platform was assumed to be stationary due to its large size. Also, a commercial program based on multi-body dynamics and eddy viscosity wake model was used. It was found from simulation that the power from the downstream wind turbine could be reduced by more than 50% of the power from the upstream wind turbine. However, due to the increase in the turbulence intensity, the power is greater but more fluctuating than the power produced by a wind turbine experiencing the same wind speed without wake. Also, it was found that the load of the down stream wind turbine be comes lower than the load of the upstream wind turbine but higher than the load of a wind turbine experiencing the same wind speed without wake.

• 한국우주과학회:학술대회논문집(한국우주과학회보)
• /
• 한국우주과학회 2007년도 한국우주과학회보 제16권1호
• /
• pp.74-74
• /
• 2007

• 중소기업융합학회논문지
• /
• 제1권1호
• /
• pp.39-44
• /
• 2011

인류가 석탄, 석유, 천연가스 화석 연료 등 연로들에 대한 무절제한 사용으로 하여 전 세계적으로 심각한 환경오염과 화석 연료의 자원 고갈문제에 직면하게 되었다. 따라서 이러한 환경오염 문제를 줄이고 또한 고갈돼가고 있는 화석 연료를 대체할 태양 에너지, 풍력, 수력, 바이오매스, 지열 등과 같은 신재생에너지 자원의 개발이 필요하게 되었다. 최근 센서 네트워크 기술의 발달로 인하여 신재생 에너지 데이터는 각종 센서들로부터 원격으로 수집이 된다. 그러나 이러한 데이터는 센서 네트워크로부터 실시간으로 연속적으로 무한히 수집되는 센서 스트림 데이터이기 때문에 주기적으로 갱신되는 데이터 수집 방법으로는 최신의 데이터를 유지하기 어려우며, 부정확한 분석 결과를 도출할 수 있다. 따라서 본 논문에서는 무선 센서 네트워크 내에서 데이터 스트림을 효율적으로 수집하고 센서의 전송 횟수를 감소하기 위한 칼만 필터링 기법에 기반 한 필터링 기법을 제안하였다.

• 한국관개배수논문집
• /
• 제14권2호
• /
• pp.207-213
• /
• 2007

For sustainable development at a watershed, environment friendly site-specific management practices need to be developed and implemented. The soil and Water Assessment Tool(SWAT)model has been world-wide used to estimate stream flow, sediment, and nonpoint source pollutant loads, and effects on water quality of different management practices. In this study, the SWAT model was used to estimate the flow resources at Hwacheon areas using Digital Elevation Model(DEM),Land use, precipitation ,wind ,maximum and minimum temperature, solar radiation, humidity of watershed The R2 value and EI value for the comparison of SWAT estimated flow and measured flow were 0.87 and 0.67 respectively for calibration period, and the R2 value and E1 value for validation were 0.75 and 0.67 respectively. The comparison results show what the SWAT model is applicable to simulate hydrology behaviors at this study watershed.

• Journal of Astronomy and Space Sciences
• /
• 제32권3호
• /
• pp.181-187
• /
• 2015

Storm sudden commencements (SSCs) occur due to a rapid compression of the Earth's magnetic field. This is generally believed to be caused by interplanetary (IP) shocks, but with exceptions. In this paper we explore possible causes of SSCs other than IP shocks through a statistical study of geomagnetic storms using SYM-H data provided by the World Data Center for Geomagnetism - Kyoto and by applying a superposed epoch analysis to simultaneous solar wind parameters obtained with the Advanced Composition Explorer (ACE) satellite. We select a total of 274 geomagnetic storms with minimum SYM-H of less than -30nT during 1998-2008 and regard them as SSCs if SYM-H increases by more than 10 nT over 10 minutes. Under this criterion, we found 103 geomagnetic storms with both SSC and IP shocks and 28 storms with SSC not associated with IP shocks. Storms in the former group share the property that the strength of the interplanetary magnetic field (IMF), proton density and proton velocity increase together with SYM-H, implying the action of IP shocks. During the storms in the latter group, only the proton density rises with SYM-H. We find that the density increase is associated with either high speed streams (HSSs) or interplanetary coronal mass ejections (ICMEs), and suggest that HSSs and ICMEs may be alternative contributors to SSCs.

• 한국물환경학회지
• /
• 제29권1호
• /
• pp.88-96
• /
• 2013

Much attention has been needed in water resource management at the watershed due to drought and flooding issues caused by climate change in recent years. Increase in air temperature and changes in precipitation patterns due to climate change are affecting hydrologic cycles, such as evaporation and soil moisture. Thus, these phenomena result in increased runoff at the watershed. The Soil and Water Assessment Tool (SWAT) model has been used to evaluate rainfall-runoff at the watershed reflecting effects on hydrology of various weather data such as rainfall, temperature, humidity, solar radiation, wind speed. For bias-correction of RCP data, at least 30 year data are needed. However, for most gaging stations, only precipitation data have been recorded and very little stations have recorded other weather data. In addition, the RCP scenario does not provide all weather data for the SWAT model. In this study, two scenarios were made to evaluate whether it would be possible to estimate streamflow using measured precipitation and long-term average values of other weather data required for running the SWAT. With measured long-term weather data (scenario 1) and with long-term average values of weather data except precipitation (scenario 2), the estimate streamflow values were almost the same with NSE value of 0.99. Increase/decrease by ${\pm}2%$, ${\pm}4%$ in temperature and humidity data did not affect streamflow. Thus, the RCP precipitation data for Hongcheon watershed were bias-corrected with measured long-term precipitation data to evaluate effects of climate change on streamflow. The results revealed that estimated streamflow for 2055s was the greatest among data for 2025s, 2055s, and 2085s. However, estimated streamflow for 2085s decreased by 9%. In addition, streamflow for Spring would be expected to increase compared with current data and streamflow for Summer will be decreased with RCP data. The results obtained in this study indicate that the streamflow could be estimated with long-term precipitation data only and effects of climate change could be evaluated using precipitation data as shown in this study.