• Title/Summary/Keyword: Energy Estimating

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An Application of the Probability Plotting Positions for the Ln­least Method for Estimating the Parameters of Weibull Wind Speed Distribution (와이블 풍속 분포 파라미터 추정을 위한 Ln­least 방법의 확률도시위치 적용)

  • Kang, Dong-Bum;Ko, Kyung-Nam
    • Journal of the Korean Solar Energy Society
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    • v.38 no.5
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    • pp.11-25
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    • 2018
  • The Ln-least method is commonly used to estimate the Weibull parameters from the observed wind speed data. In previous studies, the bin method has been used to calculate the cumulative frequency distribution for the Ln-least method. The purpose of this study is to obtain better performance in the Ln-least method by applying probability plotting position(PPP) instead of the bin method. Two types of the wind speed data were used for the analysis. One was the observed wind speed data taken from three sites with different topographical conditions. The other was the virtual wind speed data which were statistically generated by a random variable with known Weibull parameters. Also, ten types of PPP formulas were applied which were Hazen, California, Weibull, Blom, Gringorten, Chegodayev, Cunnane, Tukey, Beard and Median. In addition, in order to suggest the most suitable PPP formula for estimating Weibull parameters, two accuracy tests, the root mean square error(RMSE) and $R^2$ tests, were performed. As a result, all of PPPs showed better performances than the bin method and the best PPP was the Hazen formula. In the RMSE test, compared with the bin method, the Hazen formula increased estimation performance by 38.2% for the observed wind speed data and by 37.0% for the virtual wind speed data. For the $R^2$ test, the Hazen formula improved the performance by 1.2% and 2.7%, respectively. In addition, the performance of the PPP depended on the frequency of low wind speeds and wind speed variability.

Developing The Prediction Program of Heat and Cooling Loads by Modified Bin Methods (수정빈법을 이용한 냉난방부하 예측 프로그램 개발)

  • Lee, M.K.;Kim, J.T.
    • Journal of the Korean Solar Energy Society
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    • v.21 no.4
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    • pp.21-28
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    • 2001
  • It is a time since sustainable architecture become a main issue of design concept in 21C. However, it is necessary to develope the tool estimating energy loads and uses in our architectural conditions for energy saving design. This study aims to develope the E-Load program to predict heat and cooling loads of houses. The program is developed by modified bin methods derived from ASHRAE TC 4.7. It consists of 4 divisions such as files, data inputs, energy load estimations and output options. The main processes of energy load estimations are based on ASHRAE fundamentals. The developed E-Load program is a easy and valid tool to predict heat and cooling loads of buildings.

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Estimating free-living human energy expenditure: Practical aspects of the doubly labeled water method and its applications

  • Park, Jonghoon;Kazuko, Ishikawa-Takata;Kim, Eunkyung;Kim, Jeonghyun;Yoon, Jinsook
    • Nutrition Research and Practice
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    • v.8 no.3
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    • pp.241-248
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    • 2014
  • The accuracy and noninvasive nature of the doubly labeled water (DLW) method makes it ideal for the study of human energy metabolism in free-living conditions. However, the DLW method is not always practical in many developing and Asian countries because of the high costs of isotopes and equipment for isotope analysis as well as the expertise required for analysis. This review provides information about the theoretical background and practical aspects of the DLW method, including optimal dose, basic protocols of two-and multiple-point approaches, experimental procedures, and isotopic analysis. We also introduce applications of DLW data, such as determining the equations of estimated energy requirement and validation studies of energy intake.

Mathematical modeling of wind power estimation using multiple parameter Weibull distribution

  • Chalamcharla, Seshaiah C.V.;Doraiswamy, Indhumathy D.
    • Wind and Structures
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    • v.23 no.4
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    • pp.351-366
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    • 2016
  • Nowadays, wind energy is the most rapidly developing technology and energy source and it is reusable. Due to its cleanliness and reusability, there have been rapid developments made on transferring the wind energy systems to electric energy systems. Converting the wind energy to electrical energy can be done only with the wind turbines. So installing a wind turbine depends on the wind speed at that location. The expected wind power can be estimated using a perfect probability distribution. In this paper Weibull and Weibull distribution with multiple parameters has been used in deriving the mathematical expression for estimating the wind power. Statistically the parameters of Weibull and Weibull distribution are estimated using the maximum likelihood techniques. We derive a probability distribution for the power output of a wind turbine with given rated wind speeds for the regions where the wind speed histograms present a bimodal pdf and compute the first order moment of this distribution.

A Study on the Feasibility Evaluation for the Use of Solar Photovoltaic Energy in Korean Peninsula Using a Satellite Image Forecasting Method (인공위성영상 예측기법을 적용한 태양광에너지 이용가능성 평가에 관한 연구)

  • Jo, Dok-Ki;Kang, Young-Heack;Auh, Chung-Moo
    • Journal of the Korean Solar Energy Society
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    • v.25 no.2
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    • pp.9-17
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    • 2005
  • Images taken by geostationary satellite may be used to estimate solar irradiance fluxes at earth's surface. It is based on the empirical correlation between a satellite derived cloud index and the irradiance at the ground. For the validation, estimated solar radiation fluxes are compared with observed solar radiation fluxes at 16 sites over the Korean peninsular from January 1982 to December 2004. Estimated solar radiation fluxes show reliable results for estimating the global radiation with average deviation of -7.8 to +7.0% from the measured values and the yearly averaged horizontal global insolation of Korean peninsula was turned out to be $3.56kW/m^{2}/day$.

Development of a Mass Estimation Algorithm Using the Impact Test Data of Nuclear Power Plant

  • Kim, J.S.;I.K. Hwang;Lee, D.Y.;C.S. Ham;Kim, T.H.
    • Nuclear Engineering and Technology
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    • v.32 no.3
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    • pp.227-234
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    • 2000
  • It is known that loose parts in the reactor coolant system (RCS) cause serious damage to the systems. This paper is concerned with estimating the mass of a loose part in the steam generator of a nuclear power plant. We developed the mass estimation algorithm based on the Hertz theory in order to estimate the mass of the loose parts and applied the algorithm to the impact test data of YGN3. The mass estimation values were compared with real values in order to verify the algorithm. The result showed that the average error of the mass estimation value is less than 27%.

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Suggestion of Allocation Methodology of Environmental Pollution Cost on Multi - Product (복합생산품에 대한 환경오염비용 배분 방법론)

  • Kim, Deok-Jin
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.21 no.5
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    • pp.311-318
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    • 2009
  • In previous study, a new allocation methodology of common cost on multi-product have been suggested. The aim of this study is to suggest the methodology that allocates an environment pollution cost including carbon emission cost to each cost of multi-product. For this study, a supposed multi-energy system composed of twenty kinds of systems was made. The multi-energy system produces eighteen kinds of outputs that are electricity, steam, hot water, chilled water, ice, warm air, and cooling air from seven kinds of energy source that are LNG, coil, geothermal energy, sun heat, hydrogen, bio-mass, and waste. The new methodology was applied to the multi-energy system in order to allocate the environment pollution cost to each production cost, and twenty seven equations were induced. From this result, it is concluded that this methodology can estimate each unit cost and allocate each cost flow in any product of any energy system.

A Study on the Feasibility Analysis for the Use of Solar Energy in Korea Using a Satellite (인공위성을 이용한 한반도에서의 태양에너지 이용가능성 분석에 관한 연구)

  • Jo, D.K.;Kang, Y.H.;Auh, C.M.
    • Journal of the Korean Solar Energy Society
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    • v.22 no.3
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    • pp.21-30
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    • 2002
  • Images taken by geostationary satellite may be used to estimate solar irradiance fluxes at earth's surface. It is based on the empirical correlation between a satellite derived cloud index and the irradiance at the ground. For the validation. estimated solar radiation fluxes are compared with observed solar radiation fluxes at 16 sites over the Korean peninsular from January 1982 to December 2000. Estimated solar radiation fluxes show reliable results for estimating the global radiation with average deviation of -5.6 to +2.8% from the measured values and the yearly averaged horizontal global insolation of Korean peninsula was turned out to be $3.038kcal/m^2.day$.

Use of near-fault pulse-energy for estimating critical structural responses

  • Chang, Zhiwang;Liu, Zhanhui;Chen, Zhenhua;Zhai, Changhai
    • Earthquakes and Structures
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    • v.16 no.4
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    • pp.415-423
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    • 2019
  • Near-fault ground motions can impose particularly high seismic demands on structures due to the pulses that are typically observed in the velocity time-histories. In this study it is empirically found that the critical response can be estimated from the directions corresponding to the maximum (max) or minimum (min) pulse-energy. Determination of the pulse-energy requires removing of the high-frequency content. For achieving this, the wavelet analysis and the least-square-fitting (LSF) algorithm are adopted. Results obtained by the two strategies are compared and differences between them are analyzed. Finally, the relationship between the critical response and the response derived from directions having the max or min pulse-energy confirms that using the pulse-energy for deriving the critical response of the building structures is reasonable.

Sensor Validation for an Air Handling Unit (공조 시스템의 센서 고장 검증 기술)

  • Lee, Won-Yong;Shin, Dong-Ryul
    • Proceedings of the KIEE Conference
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    • 1999.07b
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    • pp.612-614
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    • 1999
  • In order to improve the operational reliability, it is necessary to validate the measured sensor data, isolate any failed sensor and recover the failed critical measurement. This paper describes the use of estimating equation to identify failed sensors and to recover the feedback signal for control purpose when the sensor measurement is determined to be erroneous Simulation results show that the proposed sensor validation scheme can adequately identify the failed sensor and provide reasonable estimates for control purposes.

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