• Title/Summary/Keyword: 시정수

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Wind Power Smoothing Control Technique using Energy Storage System (에너지저장장치를 이용한 풍력발전의 출력 평준화 제어 기법 연구)

  • Lee, Jinho;Lee, Moonhwan
    • 한국신재생에너지학회:학술대회논문집
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    • 2010.11a
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    • pp.178.1-178.1
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    • 2010
  • 기후변화 대응을 위해 세계적으로 신 재생에너지의 분담율(penetration rate)은 갈수록 증가하고 있고, 정부에서는 2015년까지 신 재생에너지의 개발에 총 40조원을 투자한다는 적극적인 계획을 세우고 있다. 하지만 신 재생에너지 중 전력 생산에 가장 큰 비중을 차지하는 풍력발전은 비급전성과 간헐성 등의 제약으로 인해 안정적인 전력을 공급하기 힘들뿐만 아니라 전력계통의 신뢰성을 악화시킬 수도 있는 리스크를 잠재하고 있는 에너지원이다. 이에 풍력발전 등 신 재생에너지원의 출력을 안정화시키기 위한 Smart Renewable 프로젝트가 현재 제주도에서 실증 단계에 있다. 이 논문에서는 한국전력 컨소시엄의 Smart Renewable 프로젝트 대상인 660kW급 풍력터빈과 200kWh급 리튬-이온 배터리 에너지저장장치를 이용하여, 풍력터빈의 출력을 평활화시키는 평활화 제어(Smoothing Control)와 일정시간동안 균일한 출력을 낼 수 있게 하는 정출력 제어(Constant Power Control)의 두 가지 기법을 시뮬레이션 하였다. t 시점의 에너지저장장치 잔존용량을 피드백 받아 t+1 시점의 풍력터빈과 에너지저장장치 합성출력의 목표치를 설정하는 잔존용량 피드백 방법을 이용하여 에너지저장장치의 운전모드, 초기 용량, 평활화 시정수(time constant) 등의 조건 변화가 평활화 제어와 정출력 제어에 미치는 영향을 각각 확인하고, 주어진 기기 조건 하에서 최적의 시정수 값과 운전모드를 도출하였다.

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An Analysis of The Photoacoustic Signal in Metals (금속에서의 광음향 신호 분석)

  • Yi, Chong-Ho;Jun, Kye-Suk
    • The Journal of the Acoustical Society of Korea
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    • v.13 no.6
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    • pp.24-30
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    • 1994
  • In this paper, the system for detection of photoacoustic signal has been constructed by using CW $CO_{2}$ laser for an analysis of the photoacoustic signal In metals and aluminum carbon steel, brass have been used as sample. The photoacoustic signals of several nano amperes have been detected in each sample with varying modulation frequency of laser, time constant of lock-in amplifier, thickness of sample. The characteristics of photoacoustic signal has been analysed in term of phase angle by using signal processing technique. Results indicate that the photoacoustic signal can be stabilized by adjustment of time constant of lock-in amplifier, that the signal amplitude is proportional to the ratio of thermal expansion coefficient to thermal capacity of metal, and that the signal amplitude decreases exponentially with sample thickness as well as with modulation frequency.

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The Effect on Firm's Effort to Correct Discrimination against Fixed-term Workers of Articles Regarding Prohibition or Correction of Discrimination in the Fixed-term Worker Protection Law (차별시정에 관한 법률이 기업들의 차별시정 노력에 미친 영향)

  • Choi, Hyung-Jai
    • Journal of Labour Economics
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    • v.34 no.3
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    • pp.81-117
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    • 2011
  • This study examined how firms responded to the articles regarding the prohibition or correction of discrimination against fixed-term workers in the 'fixed-term worker protection law', which has been effective since July of 2007 in Korea. Data used cone from the Korean Workplace Survey, and a difference-in-differences method was employed for the identification of the causal effect, noting that the 'discrimination prohibition law' has been applied to firms over stages based on their sizes. The empirical results show no strong evidence that the law played a positive role in reducing differentials between permanent workers and fixed-term workers in the areas of wage and various employee benefits, including the provision of severance pay, annual leave, and 4 major social insurances for fixed-term workers. A more thorough future analysis on the causes of the insignificant impact of the law in some employee welfare benefits, along with supplemental policies, is needed to have the law achieve the desired goal of removing discrimination at the workplace.

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Feasibility of Forecasting Visibility Impairment in an Urban Area (대도시 지역 시정 예측은 가능한가\ulcorner)

  • 김영준;김경원;이석조
    • Proceedings of the Korea Air Pollution Research Association Conference
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    • 2003.05b
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    • pp.197-198
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    • 2003
  • 최근 미국 및 유럽의 선진국에서는 시민에게 맑은 하늘을 체감적으로 느낄 수 있는 Clear Sky(푸른하늘)를 실현하기 위하여 시정(visibility)분야에 대한 연구가 급진적으로 확산되어 가고 있다. 미국의 IMPROVE, 북미대륙(미국, 캐나다. 멕시코) 공동연구인 NARSTO, 유럽대륙의 EURO-TRAC II 등, 선진국의 연구기관들은 인체에 유해할 뿐만 아니라 시정장애에 영향이 지배적인 미세입자(Dp 〈 2.5$\mu\textrm{m}$)에 대한 화학적이며, 광학적인 특성을 실시간으로 관측 및 분석하도록 권고하고 있다. 현재까지의 우리나라의 시정변화에 대한 분석은 광학적인 관측에 있어서는 실시간으로 시행되어 왔으나, 에어로졸의 화학적인 분석에 있어서는 일일 관측이 일반적인 관측간격이었다. (중략)

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BUSINESS GUIDE_정부시책 - 에너지소비효율 등급표시 위반제품, 철저히 관리.감독한다!

  • 한국전기제품안전협회
    • Product Safety
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    • s.196
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    • pp.16-17
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    • 2010
  • $\blacksquare$ 지식경제부(최경환 장관)은 에너지소비효율 등급표시를 위반한 9개 업체에 대해 생산 판매금지등의 시정명령을 했다고 밝혔음 $\circ$ (대상 및 내용) '09. 1월 ~ 10.1월간, 19개품목 179개모델 제품에 표시된 성능과 매장에서 채취한 샘플제품의 시험측정결과를 비교 검사하고 위반제품에 대해 아래와 같이 시정 명령을 요구하였음 - (생산판매금지) 최저소비효율에 미달된 5개 회사의 전기냉장고, 백열전구, 어댑터 충전기 등 6개모델 - (등급조정) 소비효율등급표시를 위반한 2개회사의 전기진공청소기, 선풍기 등 2개 모델 - (표시사항정정) 소비효율 표시사항의 허용오차를 초과한 2개회사의 선풍기 2개 모델 $\circ$ (조치의무 등) 위반업체 및 모델을 관보에 게재('10.3.10)하고 해당 제조 수입업체는 시정명령에 대한조치결과를 1개월이내 보고해야함 - 시정명령 미이행시에는 위반내용에 따라 벌금 과태료등의 벌칙에 처할 수 있음

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Visualization of Air Quality based on the IMPROVE Models (IMPROVE 모델에 근거한 대기질의 시각화)

  • Kim, Tae-Sik
    • Journal of Digital Contents Society
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    • v.10 no.2
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    • pp.299-307
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    • 2009
  • It is well-known that the scenic visibility achieved in our naked eyes is related with the quality of aerosol condition which is composed of primary and secondary air pollutants. In recent, the IMPROVE organization in U.S.A. has developed two algorithms to estimate the visible length depending on the elements of air pollutant. Using these algorithms, we are to represent the condition of aerosol quality with the well-known scenic images of the observing area so that any one that have no sufficient chemical knowledge may feel and understand the level of air pollution in visuality.

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The Effects on Improvement of IMS Through Corrective Actions (IMS 부적합시정조치가 지속적개선 효과에 미치는 영향)

  • Kim, Kyung-Ihl
    • Journal of Convergence Society for SMB
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    • v.5 no.4
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    • pp.1-4
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    • 2015
  • This research analyzed type of corrective action of findings of audit result and grasped item that must execute question investigation about operation actual conditions and corrective action to investigate actually situation in establishment. present item that must consider when adopt regard and organization that must consider when confirm description and follow up of an audit that certification body and jury publish as judging result do corrective action for improvement. Formation achieve continual improvement of IMS, first, when certification audit, findings are drawn faithfully and describing finding should be described as systematic problem. Second, must do so that can be removed grasping systematic root cause that do corrective action. Third, must confirm whether systematic corrective action assumed to prove continual improvement securing that when confirm succession about result of corrective action, root cause is removed and reappearance of resemblant problem is prevented.

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The Study of making Visual Media for Public Relations by the Extraction of Emotional vocabulary from City Images (지역이미지 감성어휘 추출을 통한 효과적인 지방자치단체 홍보영상제작에 관한 연구)

  • Won, Kang-Sik;Cho, Dong-Min
    • Journal of Digital Convergence
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    • v.10 no.10
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    • pp.475-482
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    • 2012
  • In recent years, visual media for Public Relations has become an important means to improve or change city images. The purpose of this study is to examine the relations between city images and images in visual media for PR. The results of this study would be provided as the fundamental data for making city's promotional video effectively.

Development for Estimation Model of Runway Visual Range using Deep Neural Network (심층신경망을 활용한 활주로 가시거리 예측 모델 개발)

  • Ku, SungKwan;Hong, SeokMin
    • Journal of Advanced Navigation Technology
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    • v.21 no.5
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    • pp.435-442
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    • 2017
  • The runway visual range affected by fog and so on is one of the important indicators to determine whether aircraft can take off and land at the airport or not. In the case of airports where transportation airplanes are operated, major weather forecasts including the runway visual range for local area have been released and provided to aviation workers for recognizing that. This paper proposes a runway visual range estimation model with a deep neural network applied recently to various fields such as image processing, speech recognition, natural language processing, etc. It is developed and implemented for estimating a runway visual range of local airport with a deep neural network. It utilizes the past actual weather observation data of the applied airfield for constituting the learning of the neural network. It can show comparatively the accurate estimation result when it compares the results with the existing observation data. The proposed model can be used to generate weather information on the airfield for which no other forecasting function is available.

Estimation of surface visibility using MODIS AOD (MODIS AOD를 이용한 지상 시정 산출)

  • Park, Jun-Young;Kwon, Tae-Yong;Lee, Jae-Yong
    • Korean Journal of Remote Sensing
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    • v.33 no.2
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    • pp.171-187
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    • 2017
  • Thisstudy presentsthe method for deriving surface visibility from satellite retrieved AOD. To do thisthe height of aerosol distribution isrequired. This distribution would be in thisstudy represented by the two heights; if there is a discrete atmospheric layer, which is physically separated from the above layer, the upper height of the layer is assumed as Aerosol Layer Height(ALH). In this case there is clear minimum in the Relative Humanity vertical distribution. Otherwise PBLH(Planetary Boundary Layer Height) is used. These heights are obtained from the forecast data of Regional Data Assimilation and Prediction System(RDAPS). The surface visibility is estimated from MODIS AOD and ALH/PBLH, using Koschmieder's Law for ALH and the empirical relations for PBLH. The estimated visibility are evaluated from the visibility measurements of 9 eve-measurement stations and 17 PWD22 stations for the spring of 2015 and 2016. Verification of the estimated visibility shows that there are considerable differencesin statistical verification value depending on stations, years, morning(Terra)/afternoon(Aqua). The better results are shown in the midwest part of korean peninsula for Terra of 2016. The results are summarized as; correlation coefficients of higher than 0.65, for low visibility RMSE of 3.62 km and ME of 2.29 km or less, POD of higher than 0.65 and FAR of 0.5 or less. Verification results were better with increase in the number of low-visibility data.