• 제목/요약/키워드: hourly variation

검색결과 138건 처리시간 0.025초

관광지 종류별 일반국도 교통량의 시간별 특성 연구 (Analysis on Time Dependent Traffic Volume Characteristics on Highways linked to Recreation Areas)

  • 김윤섭;오주삼;김현석
    • 대한토목학회논문집
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    • 제26권1D호
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    • pp.23-30
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    • 2006
  • 임의의 도로에서 교통량 변동은 해당 도로를 이용하는 사람들의 경제활동, 생활패턴을 반영한 결과이다. 또한 도로가 위치한 곳, 도로의 용도 등에 따라 시간에 따른 교통량 변동 특성은 다르게 나타나는 것이 일반적이다. 본 논문에서는 산지 관광부, 해양 관광부와 같은 관광지로 접근하기 위한 도로의 교통량 특성을 나타내는 지표인 월 보정계수(Monthly Adjustment Factor), 요일 보정계수(Weekly Adjustment Factor), 그리고 설계시간계수(Design hourly Factor)를 산출하였다. 본 연구를 통하여 관광부 도로별 교통량 특성이 분석될 경우, 해당 도로의 적정 연평균일교통량(AADT) 및 설계시간교통량의 추정은 물론, 효율적인 교통소통정책 및 교통처리대책의 수립에도 크게 기여할 것으로 기대되며, 향후 도로용량편람 등의 개정을 위한 기초연구로 이용될 수 있을 것으로 기대된다.

전력수요 변동률을 이용한 연휴에 대한 단기 전력수요예측 (Short-Term Electric Load Forecasting for the Consecutive Holidays Using the Power Demand Variation Rate)

  • 김시연;임종훈;박정도;송경빈
    • 조명전기설비학회논문지
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    • 제27권6호
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    • pp.17-22
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    • 2013
  • Fuzzy linear regression method has been used for short-term load forecasting of the special day in the previous researches. However, considerable load forecasting errors would be occurring if a special day is located on Saturday or Monday. In this paper, a new load forecasting method for the consecutive holidays is proposed with the consideration of the power demand variation rate. In the proposed method, a exponential smoothing model reflecting temperature is used to short-term load forecasting for Sunday during the consecutive holidays and then the loads of the special day during the consecutive holidays is calculated using the hourly power demand variation rate between the previous similar consecutive holidays. The proposed method is tested with 10 cases of the consecutive holidays from 2009 to 2012. Test results show that the average accuracy of the proposed method is improved about 2.96% by comparison with the fuzzy linear regression method.

미래 전력 계통의 불확실성을 고려한 송전혼잡비용 분석 (An Analysis of Congestion Cost for Electric Power Transmission in Consideration of Uncertainty of Future Electric Power System)

  • 박성민;김성수
    • 전기학회논문지P
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    • 제63권3호
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    • pp.131-137
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    • 2014
  • It is expected that there will be delay of scheduled transmission network reinforcement and huge investment of renewable energy resources in Korea. As transmission capacity expansion delayed, supplying power to Seoul metropolitan area will not be increased as scheduled. In addition, uncertain renewable energy out of Seoul metropolitan area can cause transmission congestion in the future power system. These two combining effects will make the difference in locational marginal prices(LMP) and congestion costs increase. In that sense, this paper will analyze how much the congestion costs for Korea power system are incurred in the future power system. Most of previous approaches to analyze the congestion costs for electric power system are based on the optimal power flow model which cannot deal with hourly variation of power system. However, this study attempted to perform the analysis using market simulation model(M-Core) which has the capability of analyzing the hourly power generation cost and power transmission capacity, and market prices by region. As a result, we can estimate the congestion costs of future power system considering the uncertainty of renewable energy and transmission capacity.

비정상성 Bayesian Beta 분포를 이용한 시 단위 극치자료 추정기법 개발 (An Hourly Extreme Data Estimation Method Developed Using Nonstationary Bayesian Beta Distribution)

  • 김용탁;김진영;이재철;권현한
    • 한국물환경학회지
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    • 제33권3호
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    • pp.256-272
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    • 2017
  • Extreme rainfall has become more frequent over the Korean peninsula in recent years, causing serious damages. In a changing climate, traditional approaches based on historical records of rainfall and on the stationary assumption can be inadequate and lead to overestimate (or underestimate) the design rainfalls. A main objective of this study is to develop a stochastic disaggregation method of seasonal rainfall to hourly extreme rainfall, and offer a way to derive the nonstationary IDF curves. In this study, we propose a novel approach based on a Four-Parameter Beta (4P-beta) distribution to estimate the nonstationary IDF curves conditioned on the observed (or simulated) seasonal rainfall, which becomes the time-varying upper bound of the 4P beta distribution. Moreover, this study employed a Bayesian framework that provides a better way to take into account the uncertainty in the model parameters. The proposed model showed a comparable design rainfall to that of GEV distribution under the stationary assumption. As a nonstationary rainfall frequency model, the proposed model can effectively translate the seasonal variation into the sub-daily extreme rainfall.

서울시 지하철역내의 라돈 농도분포 및 저감대책 (Concentration Distributions and A Reduction Strategy of Airborne Radon in Seoul Metropolitan Subway Stations)

  • 김동술;김윤신;김신도;신응배;김성천;유정석
    • 한국대기환경학회지
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    • 제9권4호
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    • pp.271-277
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    • 1993
  • Indoor radon has been known as one of the notorious carcinogens. However, a safe environmental criterion of radon has not yet been established in Korea, The main objectives of this study were to study concentration distributions of radon, to trace radon sources in subways, and to obtain a strategy for radon reduction in Seoul metropolitan area. Radon concentrations had been extensively determined by several steps. The first step was to survey radon levels in all of 83 subway stations from October to November in 1991. The second step was to select 40 out of 83 stations and then to study seasonal variations in 1991 and 1992. The third step was to monitor radon levels by hourly-basis plans. The fourth step was to seek a radon reduction strategy by altering ventilation at Ankuk station where had the highest radon concentration during the first measurement step. Each underground floor in the station was divided into 10 sites to measure hourly radon variations. The final step of the study was to measure radon concentrations in groundwater that is one of the possible main sources radon place. The result of the various measuring approaches showed short-and long-term radon variation and indicated radon reduction schemes.

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Kalman filter technique for defining solar regular geomagnetic variations

  • Martini, Daniel;Orispaa, Mikko;Ulich, Thomas;Lehtinen, Markku;Mursula, Kalevi;Lee, Dong-Hun
    • 천문학회보
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    • 제36권2호
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    • pp.81.2-81.2
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    • 2011
  • Motivated by recent attempts to derive geomagnetic activity from hourly mean data in long term studies, we test the recursive Kalman filter method to obtain the regular solar variation curve of the geomagnetic field. Using a simple algorithm, we are able to assign a quiet day curve to every day separately, without the need for additional input parameter(s) to define the geomagnetically quiet days. We derive a digital counterpart AhK of the analog range index Ak at the subauroral Sodankyl$\ddot{a}$ station and compare it to the earlier digital estimate Ah and the local Ak index. We find that the new method outperforms the former estimate in every aspect studied and provides a robust, straightforward manner of estimating and verifying the manually scaled Ak index, based on readily available hourly values. The model is independent of sampling; thus, for shorter term studies where high-sampling data are available, more accurate estimates can also be obtained when needed. Therefore, in contrast to other recent approaches, we do not provide a method to quantify irregular activity directly but derive the actual quiet day curves in the traditional manner. In future applications the same algorithm may be used to define a wide variety of geomagnetic indices (such as Ak, Dst, or AE).

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The Characterization of Surface Ozone Concentrations in Seoul, Koera

  • Heo, Jeong-Sook;Kim, Dong-Sool
    • Journal of Korean Society for Atmospheric Environment
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    • 제18권E3호
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    • pp.129-142
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    • 2002
  • This paper provides a long-term perspective for ozone concentrations at 20 national air quality monitoring sites in Seoul from 1989 to 1998, which were managed by the Korean Ministry of Environment. Ozone episodes occurred more frequently in the east areas (Bangi, Guui, Seongsu, and Ssangmun) than in the west area (Guro and Oryu). When an ozone episode happened, hourly ozone concentrations over 80 ppb continued for an average of 4.0 hours at all sites. Annual variations in daily mean and maximum oBone concentrations showed broadly consistent upward trends at Ssangmun and Gwanaksan. Monthly mean ozone concentrations were the highest from May to June and the 99$^{th}$ and 95$^{th}$ percentile levels appeared higher during June, July, and August. The diurnal patterns of hourly mean ozone levels in urban areas showed typical photochemical formation and destruction, while the flat diurnal shape before 1996 at Gwanaksan indicated few significant photochemical reactions due to a lack of precursors of ozone. The occurrence of ozone over 80 ppb was ascribed to meteorological conditions such as high temperature, strong solar radiation, low relative humidity, and low wind speed with winds most frequently in a westerly direction.

우리나라의 기후 변화 영향에 의한 건물 냉난방에너지 수요량 변화의 예측 (Prediction on Variation of Building Heating and Cooling Energy Demand According to the Climate Change Impacts in Korea)

  • 김지혜;김의종;서승직
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2006년도 하계학술발표대회 논문집
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    • pp.789-794
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    • 2006
  • The potential impacts of climate change on heating and cooling energy demand were investigated by means of transient building energy simulations and hourly weather data scenarios for Inchon. Future trends for the 21 st century was assessed based oil climate change scenarios with 7 global climate models(GCMs), We constructed hourly weather data from monthly temperatures and total incident solar radiation ($W/m^2$) and then simulated heating and cooling load by Trnsys 16 for Inchon. For 2004-2080, the selected scenarios made by IPCC foresaw a $3.7-5.8^{\circ}C$rise in mean annual air temperature. In 2004-2080, the annual cooling load for a apartment with internal heat gains increased by 75-165% while the heating load fell by 52-71%. Our analysis showed widely varying shifts in future energy demand depending on the season. Heating costs will significantly decrease whereas more expensive electrical energy will be needed of air conditioning during the summer.

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Treatment Characteristics of Wastewater with Flow Rate Variation in Anaerobic-Aerobic Activated Sludge Process

  • Lee Min-Gyu;Suh Kuen-Hack;Hano Tadashi
    • Environmental Sciences Bulletin of The Korean Environmental Sciences Society
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    • 제1권1호
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    • pp.11-17
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    • 1997
  • The treatment performances of anaerobic-aerobic activated sludge process were investigated under various operation conditions. The treatment system proposed in this study gave a relatively stable performance against hourly change of the flow rate and showed a satisfactory removal efficiency of nitrogen and phosphorus compounds under experimental conditions. The average removal efficiency of total nitrogen gradually decreased as the influent total nitrogen concentration was increased. High C/N ratio of the wastewater was required for the complete removal of nitrogen. Glucose as a carbon source was more efficient than starch and the removal ability for all components become higher with the increase of the fraction of glucose.

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사용자비용을 고려한 역사설계기준교통량 선정을 위한 시뮬레이션 기법의 적용 (The Application of Simulation Method for Selection of Design Volume to reflect User Cost in Station Planning)

  • 김용일
    • 한국시뮬레이션학회:학술대회논문집
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    • 한국시뮬레이션학회 1999년도 추계학술대회 논문집
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    • pp.93-99
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    • 1999
  • The service level of Metro stations is affected by the design criteria such as platform area, width and length of stairways, and the number of turnstile, etc. The Korean station design process utilizes peak-hour volume as design volume. Hourly volume, however, can not explicitly account for the variation of traffic and consequently the variation of the level of service within the one-hour time period. Movements in various areas inside of stations are simulated with a queueing network under various operating conditions. A discrete simulation tool called SIMUL8 was utilized. Based on the results, peak volume for 15 minutes period was recommended as a preferred base volume over the peak-hour volume for station design purpose to realistically account for user delays under. Simulation runs also confirmed that escalators have positive effects on passenger processing capacity and on securing stability of passenger flows in stations.

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