• Title/Summary/Keyword: annual distribution

Search Result 1,317, Processing Time 0.025 seconds

Optimal Capacity Determination Method of Battery Energy Storage System for Demand Management of Electricity Customer (수용가 수요관리용 전지전력저장시스템의 최적용량 산정방법)

  • Cho, Kyeong-Hee;Kim, Seul-Ki;Kim, Eung-Sang
    • The Transactions of The Korean Institute of Electrical Engineers
    • /
    • v.62 no.1
    • /
    • pp.21-28
    • /
    • 2013
  • The paper proposes an optimal sizing method of a customer's battery energy storage system (BESS) which aims at managing the electricity demand of the customer to minimize electricity cost under the time of use(TOU) pricing. Peak load limit of the customer and charging and discharging schedules of the BESS are optimized on annual basis to minimize annual electricity cost, which consists of peak load related basic cost and actual usage cost. The optimal scheduling is used to assess the maximum cost savings for all sets of candidate capacities of BESS. An optimal size of BESS is determined from the cost saving curves via capacity of BESS. Case study uses real data from an apartment-type factory customer and shows how the proposed method can be employed to optimally design the size of BESS for customer demand management.

A Study on Distribution of Small Hydropower Resources Using GIS (지리정보시스템을 이용한 소수력자원 분포 연구)

  • Park, Wansoon;Lee, Chulhyung
    • 한국신재생에너지학회:학술대회논문집
    • /
    • 2010.11a
    • /
    • pp.203-203
    • /
    • 2010
  • Small hydropower is one of the many types of new and renewable energy, which South Korea is planning to develop, as the country is abundant in endowed resources. In order to fully utilize small hydropower resources, there is a need for greater precision in quantifying small hydropower resources and establish an environment in which energy sources can be discovered using the small hydropower geographic information system. This study has given greater precision to calculating annual electricity generation and installed capacity of small hydropower plants of 117 medium basins by inquiring into average annual rainfall, basin area and runoff coefficient, which is anticipated to promote small hydropower resources utilization. Small hydropower geographic information system was also established by additionally providing base information on quantified small hydropower resources and analysis function and small hydropower generator status, rivers, basin, rainfall gauging station, water level gauging station etc.. Established system of GIS small hydropower energy can be used gather basic information for positive applications of small hydropower energy nationwide.

  • PDF

Performance Prediction of Small Hydropower Plant through Analyzing Rainfall Data (강우자료 분석에 의한 소수력 발전소의 성능예측)

  • Lee, Chul-Hyung;Park, Wan-Soon;Shin, Dong-Ryul;Chung, Hun-Saeng
    • Solar Energy
    • /
    • v.9 no.3
    • /
    • pp.81-91
    • /
    • 1989
  • This study represents the method to predict the flow duration curve and primary design specifications of small hydropower plant at hydropower site through analyzing the monthly rainfall data. Weibull distribution was selected to characterize the rainfall data and Thiessen method was used to calculate monthly average flowrate at site. Application of these results, primary design specifications such as design flowrate, annual average load factor and utility factor, annual average hydropower density and annual electric energy production were estimated and discussed for surveyed site located in Daigi-ri, Kangwon province. And performance characteristic model of small hydro-power plant was applied to estimate these specifications.

  • PDF

Frequency Analysis of Extreme Rainfall by L-Moments (L-모멘트법에 의한 극치강우의 빈도분석)

  • Maeng, Sung-Jin;Lee, Soon-Hyuk;Kim, Byung-Jun
    • Proceedings of the Korean Society of Agricultural Engineers Conference
    • /
    • 2002.10a
    • /
    • pp.225-228
    • /
    • 2002
  • This research seeks to derive the design rainfalls through the L-moment with the test of homogeneity, independence and outlier of data on annual maximum daily rainfall in 38 Korean rainfall stations. To select the fit appropriate distribution of annual maximum daily rainfall data according to rainfall stations, applied were Generalized Extreme Value (GEV), Generalized Logistic (GLO) and Generalized Pareto (GPA) probability distributions were applied. and their aptness was judged Dusing an L-moment ratio diagram and the Kolmogorov-Smirnov (K-S) test, the aptitude was judged of applied distributions such as GEV, GLO and GPA. The GEV and GLO distributions were selected as the appropriate distributions. Their parameters were estimated Targetingfrom the observed and simulated annual maximum daily rainfalls and using Monte Carlo techniques, the parameters of GEV and GLO selected as suitable distributions were estimated and. dDesign rainfallss were then derived, using the L-moment. Appropriate design rainfalls were suggested by doing a comparative analysis of design rainfall from the GEV and GLO distributions according to rainfall stations.

  • PDF

An alternative method for estimation of annual extreme wind speeds

  • Hui, Yi;Yang, Qingshan;Li, Zhengnong
    • Wind and Structures
    • /
    • v.19 no.2
    • /
    • pp.169-184
    • /
    • 2014
  • This paper presents a method of estimation of extreme wind. Assuming the extreme wind follows the Gumbel distribution, it is modeled through fitting an exponential function to the numbers of storms over different thresholds. The comparison between the estimated results with the Improved Method of Independent Storms (IMIS) shows that the proposed method gives reliable estimation of extreme wind. The proposed method also shows its advantage on the insensitiveness of estimated results to the precision of the data. The volume of extreme storms used in the estimation leads to more than 5% differences in the estimated wind speed with 50-year return period. The annual rate of independent storms is not a significant factor to the estimation.

Optimal Design of Permanent Magnet Wind Generator for Maximum Annual Energy Production (최대 연간 에너지 생산을 위한 영구자석형 풍력발전기의 최적설계)

  • Jung, Ho-Chang;Jung, Sang-Yong;Hahn, Sung-Chin;Lee, Cheol-Gyun
    • The Transactions of The Korean Institute of Electrical Engineers
    • /
    • v.56 no.12
    • /
    • pp.2109-2115
    • /
    • 2007
  • The wind generators have been installed with high output power to increase the energy production and efficiency. Hence, Optimal design of the direct-driven PM wind generator, coupled with F.E.M(Finite Element Method) and Genetic Algorithm(GA), has been performed to maximize the Annual Energy Production(AEP) over the whole wind speed characterized by the statistical model of wind speed distribution. Particularly, the parallel computing via internet web service has been applied to loose excessive computing times for optimization. The results of the optimal design of Surface-Mounted Permanent Magnet Synchronous Generator(SPMSG) are compared with each other candidates to verify the usefulness of the maximizing AEP model.

On Lake Evaporation from Climatological Data in Korea (기후요소에 의한 증발량 연구)

  • 조희구
    • Water for future
    • /
    • v.6 no.1
    • /
    • pp.5-12
    • /
    • 1973
  • A simple regression formula for estimating the lake evaporation rate from the copper-plated pan (diameter 20cm, height 10cm) is derived. A comparison with other formulae indicates that the formula is more accurate than others. An annual map of man evaporation in Korean peninsula has been prepared using the relation. It demonstrates the areal average distribution of mean annual evaporation from a free water surface with no heat storage effect and avected energy owing to differences in the temperature of in-and outflow. The mean annual ratio of the lake to the copper-plated pan evaporation is found to be 0.64. The ratio varies with local conditions from 0.62 to 0.66, and hence it can be considered fairly uniform. However the seasonal variation of the ratio appears to be rather significant. It changes from the lowest of 0.61 to the highest of 0.75.

  • PDF

Soil Erosion Modeling Using RUSLE and GIS on the Imha Watershed (RUSLE 모형을 이용한 임하댐 유역에서의 토양유실량 평가)

  • Kim, Hyeon-Sik;Julien, Pierre. Y.;Yum, Kyung-Taek
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2007.05a
    • /
    • pp.126-131
    • /
    • 2007
  • The Imha watershed is vulnerable to severe erosion due to the topographical characteristics such as mountainous steep slopes. The RUSLE model was combined with GIS techniques to analyze the mean annual erosion losses and the soil losses caused by typhoon "Maemi". The model is used to evaluate the spatial distribution of soil loss rates under different land uses. The mean annual soil loss rate and soil losses caused by typhoon "Maemi"were predicted as $3,450\;tons/km^2/year$ and $2,920\;ton/km^2/"Maemi"$, respectively. The sediment delivery ratio was determined to be about 25% from the mean annual soil loss rate and the surveyed sediment deposits in the Imha reservoir in 1997.

  • PDF

Application and Assessment of WAsP for Haengwon Wind Farm (행원 풍력발전단지의 WAsP 적용 및 평가)

  • Byun, Su-Hwan;Ko, Kyung-Nam;Huh, Jong-Chul
    • Journal of the Korean Solar Energy Society
    • /
    • v.24 no.3
    • /
    • pp.1-7
    • /
    • 2004
  • Using WAsP, which is PC-program for the vertical and horizontal extrapolation of wind data, annual energy production as well as wind energy density has been predicted for Haengwon wind farm in Jeju island. The predicted results were compared with real data derived from wind turbines in Haengwon wind farm. As the results, in order to produce more electric power, new wind turbines should be located along coastal line, which has comparatively high wind energy density. Also, the roughness length should be inputted to the Map Editor program for better agreement with real annual energy production.

SOIL EROSION MODELING USING RUSLE AND GIS ON THE IMHA WATERSHED

  • Kim, Hyeon-Sik;Julien Pierre Y.
    • Water Engineering Research
    • /
    • v.7 no.1
    • /
    • pp.29-41
    • /
    • 2006
  • The Imha watershed is vulnerable to severe erosion due to the topographical characteristics such as mountainous steep slopes. Sediment inflow from upland area has also deteriorated the water quality and caused negative effects on the aquatic ecosystem of the Imha reservoir. The Imha reservoir was affected by sediment-laden density currents during the typhoon 'Maemi' in 2003. The RUSLE model was combined with GIS techniques to analyze the mean annual erosion losses and the soil losses caused by typhoon 'Maemi'. The model is used to evaluate the spatial distribution of soil loss rates under different land uses. The mean annual soil loss rate and soil losses caused by typhoon 'Maemi' were predicted as 3,450 tons/km2/year and 2,920 ton/km2/'Maemi', respectively. The sediment delivery ratio was determined to be about 25% from the mean annual soil loss rate and the surveyed sediment deposits in the Imha reservoir in 1997. The trap efficiency of the Imha reservoir was calculated using the methods of Julien, Brown, Brune, and Churchill and ranges from 96% to 99%.

  • PDF