• 제목/요약/키워드: Statistical Energy Analysis

검색결과 678건 처리시간 0.037초

공동주택 에너지 사용량 평가 개선을 위한 에너지 사용량 영향 요인 도출 (Deriving Factors Affecting Energy Usage for Improving Apartment Energy Consumption Evaluation)

  • 음미령;홍원화;이지애
    • 대한건축학회논문집:구조계
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    • 제34권7호
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    • pp.27-34
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    • 2018
  • The energy consumption of apartment houses is affected by various factors. The criteria for assessing current energy usage are area, region and purpose. The purpose of this study is to obtain the reliability of the method of evaluating the existing energy consumption certificate and to derive usable evaluation factors according to the correlation of factors affecting energy consumption. The research process collects energy usage data for apartment houses in Daegu and calculates statistical results through correlation analysis and multiple regression analysis. As a result, it was found that the power energy is influenced by the yearly factor of physical characteristics, and the heat energy and total energy usage are influenced by the energy source which is energy characteristic factor.

배관의 유동 유발 진동 및 음향 유발 진동 기인 광대역 방사 소음 예측을 위한 수치 해석 기법 개발 (Development of numerical method to predict broadband radiation noise resulting in fluid-induced vibration and acoustic-induced vibration of pipe)

  • 이상헌;정철웅;이송준
    • 한국음향학회지
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    • 제43권1호
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    • pp.112-121
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    • 2024
  • 배관시스템은 유체를 장거리로 이송시키는 장비로서 많은 산업군에서 사용되고 있다. 고압의 배관에서는 빠른 유속으로 인하여 소음이 크게 발생하고 있으며, 이러한 소음을 저감 시키기 위한 많은 연구가 수행되고 있다. 이 논문에서는 고온·고압의 배관내 밸브 유동을 원인으로 발생하는 유동유발진동과 음향유발진동을 설계단계에서 예측하고 정량적으로 분석을 위한 배관 소음 해석 기법을 개발하였다. 이를 위하여 배관의 내부 유동 예측을 위한 고정밀 유동 해석기법을 개발하였으며, 파수-주파수 분석법을 이용하여 주파수 대역별 압축성/비압축성 압력의 기여도를 평가하였다. 그리고 유한요소 해석법(Finite Element Method, FEM)을 기반으로 한 저·중 주파수 대역의 진동소음 해석기법을 개발하였으며, 통계적 에너지 분석법(Statistical Energy Analysis, SEA)을 기반으로 한 중·고 주파수 대역에서의 방사소음해석 기법을 개발하였다.

Statistical damage classification method based on wavelet packet analysis

  • Law, S.S.;Zhu, X.Q.;Tian, Y.J.;Li, X.Y.;Wu, S.Q.
    • Structural Engineering and Mechanics
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    • 제46권4호
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    • pp.459-486
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    • 2013
  • A novel damage classification method based on wavelet packet transform and statistical analysis is developed in this study for structural health monitoring. The response signal of a structure under an impact load is normalized and then decomposed into wavelet packet components. Energies of these wavelet packet components are then calculated to obtain the energy distribution. Statistical similarity comparison based on an F-test is used to classify the structure from changes in the wavelet packet energy distribution. A statistical indicator is developed to describe the damage extent of the structure. This approach is applied to the test results from simply supported reinforced concrete beams in the laboratory. Cases with single and two damages are created from static loading, and accelerations of the structure from under impact loads are analyzed. Results show that the method can be used with no reference baseline measurement and model for the damage monitoring and assessment of the structure with alarms at a specified significance level.

국내 초·중등 교육시설의 에너지 소비 특성 분석 (Analysis of Energy Consumption Characteristics of Education Facilities in Korea)

  • 이재호;현인탁;윤여범;이광호;진경일
    • KIEAE Journal
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    • 제14권5호
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    • pp.59-65
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    • 2014
  • Nowadays, reduction of energy use in buildings is a big issue, especially in public buildings like schools. The building structure is very simple in that, the room size, schedule and user number is similar across different schools. There are many policies which are suitable for this kind of buildings. Investigation of energy consumption pattern in primary school, middle school and high school in different cities of Korea has been done in this paper using statistical data from national organization and the data from IBM and Gyeonggi Provincial Office of Education, aimed at providing the basic data for the development of energy efficiency improvement policies of educational facilities. The study was divided according to climate, energy source type and public or private school, as different cities have different climates and accordingly different amount of energy sources are used. It was observed that, the average energy consumption in primary school is $36.9kWh/m^2$, in middle school is $20.5kWh/m^2$ and in high school $27.4kWh/m^2$. As further analysis, monthly energy consumption pattern has been analyzed for one city.

저궤도 지구관측 위성의 통계적 에너지 해석 (Statistical Energy Analysis of Low-Altitude Earth Observation Satellite)

  • 우성현;김홍배;임종민;김경원
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2006년도 춘계학술대회논문집
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    • pp.197-202
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    • 2006
  • The low-altitude earth observation satellite is generally equipped with high performance camera as a main payload which is vulnerable to vibration environment. During the launch process of a satellite, the combustion and jet noise of launch vehicle produce severe acoustic environment and the acoustic loads induced may damage the critical equipments of the satellite including the camera. Therefore to predict and simulate the effect of the acoustic environment which the satellite has to sustain at the lift-off event is very important process to support the load-resistive design and test-qualification of components. Statistical Energy Analysis(SEA) has been widely used to estimate the vibro-acoustic responses of the structures and gives statistical but reliable results in the higher frequency region with less modeling efforts and calculation time than the standard FEA. In this study, SEA technique has been applied to a 3-Dimensional model of a low-altitude earth observation satellite to predict the acceleration responses on the structural components induced by the high level acoustic field in the launch vehicle fairing. In addition, the expected response on each critical component panel was calculated by the classical method in consideration of the mass loading and imposed sound pressure level, and then compared with SEA results.

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전기분해공정을 이용한 유기물저감 및 수소 생산을 위한 최적 조건에 관한 연구 (A Study on Optimal Conditions for Organic Matter Reduction and Hydrogen Production Using Electrolysis Process)

  • 안정윤;노연희;장순웅
    • 한국수소및신에너지학회논문집
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    • 제31권6호
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    • pp.546-552
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    • 2020
  • In this study, optimization research was conducted through statistical analysis with the aim of maximizing the efficiency of organic matter reduction and hydrogen production by applying electrolysis process at sewage treatment plant. Statistical analysis and optimal operating conditions of organic matter removal efficiency and H2 generation, which varied with various conditions in the electrolysis process, were derived using response surface methodology. As a result, 1,268 μS/cm of conductivity, 350 A current, and pH 3.2 was found to be the optimum condition to reach the desired value as 38% of organic matter reduction and 2.58 L/min of H2 production. The experiment also determined that the optimization study was reliable. Base on this study, it was confirmed that the removal of organic matter and hydrogen production could be stably by applying the electrolysis process in the sewage treatment plant.

소형 승용차량의 SEA 모델링 및 내부 소음 연구 (A SEA Modeling of a compact car and Interior Noise Analysis)

  • 김상수;김관주;임효석;김영호
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2007년도 추계학술대회논문집
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    • pp.824-828
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    • 2007
  • In this paper Statistical Energy Analysis has been considered to predict middle, high frequency air borne interior noise. PIM method is used for verification. Damping loss factor and coupling loss factor have been derived from the response(SPL) of sub systems when the power is applied. The airborne SEA model of vehicle is modeled through AutoSea2. Insulation material's absorption coefficient and transmission loss are acquired from closed form solution and experiment.

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고등학교 시설의 에너지 소비량특성에 관한 사례분석 (A Case Study of Characteristics of Energy Consumption of a High School Education Facilities)

  • 김강식;박재완;윤종호;신우철
    • 한국태양에너지학회 논문집
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    • 제31권5호
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    • pp.99-104
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    • 2011
  • It has to take quantitative energy usage of high school education facilities in nations to set goals of their energy reduction. Therefore, The purpose of this study is to present various analysis result of energy consumption that is a statistic alanalysis of high school education facilities in Korea to set the goal of energy saving. This study has enforced analysis and has provided used energy for the year 2008 and general information from 2022 high school education facilities in 16 cities in South Korea by the relevant agency. Used energy sources in high school education facilities are electricity, gas for heating, oil, coal, water, and this study has changed the various used energy sources as unit 'kWh' only for comparison and analysis them.

머신러닝 기법을 활용한 공장 에너지 사용량 데이터 분석 (Machine Learning Approach for Pattern Analysis of Energy Consumption in Factory)

  • 성종훈;조영식
    • 정보처리학회논문지:컴퓨터 및 통신 시스템
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    • 제8권4호
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    • pp.87-92
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    • 2019
  • 본 연구에서는 머신 러닝 기법을 활용하여 공장에서 발생하는 에너지 사용량에 대한 데이터 분석 및 패턴 추출에 대해 다룬다. 통계학이나 기존의 방법들은 몇 가지 물리적 특성을 반영하는 수학적 모델을 구축하는 반면, 머신 러닝을 통한 접근방법은 데이터 학습을 통하여 모델의 계수들을 결정하게 된다. 기존의 방법들은 특정한 구조를 갖는 수학적 모델을 구축해야 한다는 어려움이 있으며 과연 데이터의 특징들을 잘 반영하는지에 대한 의문이 존재했다. 그러나 머신 러닝을 통한 방법은 사람이 구축하기 어려운 작업들을 용이하게 구축한다는 장점을 가지고 있기 때문에 데이터 간의 관계를 파악하기에 더 효율적이라는 장점을 가지고 있다. 공장의 에너지 소비에 직접적으로 영향을 끼치는 요소들이 존재하며 이러한 전력 소비는 시간에 따른 데이터로 나타나게 된다. 각 요소들로부터 발생하는 소비 전력을 계측하고 데이터 베이스를 구축하기 위해 각 요소에 센서를 장착하였다. 취득된 데이터에 대해 전처리 과정 및 통계적인 분석을 거친 뒤, 머신 러닝을 통해 패턴을 분석하는 과정을 거쳤다. 이를 통해 공장에서 발생하는 소비 전력 데이터에 대한 패턴 분석을 진행하였다.

가전기기 에너지소비효율 기준설정에 관한 연구 (Study on Appliance Energy Efficiency Standards)

  • 이선근;최수현
    • 한국에너지공학회:학술대회논문집
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    • 한국에너지공학회 1996년도 춘계학술발표회 초록집
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    • pp.144-150
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    • 1996
  • The Energy Efficiency Standards and Labelling Act, as amended by the Rational Energy Utilization Act, provides energy efficiency standards and labellings for six equipment categories(viz, refrigerators, air-conditioners, fluorescent lamps and ballasts, incandescent lamps, cars) authorizes the Ministry of Trade. Industry and Energy (MOTIE) to prescribe amended or new energy efficiency standards and labelling standards. This study was initiated by the KIER(Korea Institute of Energy Research) in 1992. KIER's assessment of the appliance energy efficiency standards is designed to evaluate their statistical and engineering analysis according to Korean Industrial Standards(KS). And to make didtinction between the poor efficiency and good efficiency models. 5 grades are classified depending on their tested energy efficiency. This year, based on our analysis, MOTIE mandated updated standards for refrigerators, air-conditioners, Incandescent lamps, and fluorescent lamps.

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