• 제목/요약/키워드: Maintenance Energy

검색결과 1,409건 처리시간 0.03초

철도차량의 유지관리 최적화를 위한 RCM 프로세스 개발 및 적용 (Development and Application of RCM Process for the Optimized Maintenance of Railway Vehicle)

  • 신건영;이희성
    • 에너지공학
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    • 제24권1호
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    • pp.10-16
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    • 2015
  • 최근 신뢰성을 기반으로 한 기법을 철도차량 유지관리에 도입, 적용하기 위해 많은 계획을 세우고 정착시키려는 업무가 진행되고 있으나 시간 및 비용대비 성과에 대해 기술적인 향상이 필요하다. 신뢰성기반의 유지관리 활동은 군수분야에서 시작하여 원자력, 항공 분야 등에서 가장 활발히 추진중이지만 국내철도 현장에도 접목하려는 연구를 본 논문에서 제시하였다. 철도 운영기관에서 신뢰성관련 업무를 도입하거나 적용하기 위해서는 우선 내부의 유지관리 환경을 검토할 필요가 있으며, 이러한 검토결과를 기반으로 각종 신뢰성 기법들을 철도현장에 맞게 적용하고, 특화된 신뢰성프로세스의 정립과 주요 대상 시스템을 선정하여 RCM (Reliability Centered Mainteinance)기법을 적용하여 적정성을 검토하였다. 그 결과 철도차량 유지관리를 보다 체계적이고 합리적인 방법으로 시행하기 위한 절차를 제시하였다.

공동주택 사용부문의 이산화탄소 배출량 추정모델 연구 (Estimation Model of the Carbon Dioxide Emission in the Apartment Housing During the Maintenance period)

  • 이강희;채창우
    • KIEAE Journal
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    • 제8권4호
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    • pp.19-27
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    • 2008
  • The carbon dioxide is brought from the energy consumption and regarded as a criteria material to estimate the Global Warming Potential. Building shares about 30% in national energy consumption and affects to environment as much as the energy consumption. But there is not enough data to forecast the amount of the carbon dioxide during the maintenance stage. Various factors are related with the energy consumption and carbon dioxide emission such as the physical area, the building exterior area, the maintenance type and location. Among these factors, the building carbon-dioxide emission can be estimated by the overall building characteristics such as the maintenance area, the number of household, the heating type, etc., The physical amount such as the thickness of the insulation and window infiltration could explained the limited scope and might not be use to estimate the total carbon-dioxide emission energy because the each value could not include or represent the overall building. In this paper, it provided the estimation model of the carbon-dioxide emission, explained by the overall building characteristics. These factors are shown as the maintenance area, no. of household, the heating type, the volume of the building, the ratio of the window to wall area etc., For providing the estimation model of th carbon-dioxide emission, it conducted the corelation analysis to filter the variables and suggested the estimation model with the power model and multiple regression model. Most of the model have a good statistics and fitted in the curve line.

ENERGY UTILIZATION MODELS OF CATTLE GRAZING IN OIL PALM PLANTATIONS I. DEVELOPMENT OF MODELS

  • Dahlan, I.;Yamada, Y.;Mahyuddin, M.D.
    • Asian-Australasian Journal of Animal Sciences
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    • 제8권1호
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    • pp.59-66
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    • 1995
  • Energy obtained by grazing cattle in oil palm plantations is usually used for maintenance of body functions, the construction of body tissues and pregnancy, the synthesis of milk and the conversion to mechanical energy used for activities such as walking, eating and others. In this study, attempt was made to estimate metabolizable energy (ME) requirement of grazing cattle. Models of ME requirement (MER) for maintenance, gain, pregnancy, lactation and activities were developed. ME system and units were used because of wide recognition. Estimation of ME intake in grazing cattle was expressed as MEVI = $14.58{\times}VI{\times}DMD$, and under grazing condition MEVI = $MER_i$. MER was expressed as a function of net energy(NER, MJ) required for the i'th body function. Coefficient of efficiency for conversion of ME into net energy(ki) was adopted from literatures. Quantifying of ME requirement for Kedah-Kelantan cattle under grazing condition was made by using equation MERM = NEM / kn. The estimated values of MER for Kedah-Kelantan cattle is quite reasonable if compared with other estimates as reported in literatures from stall-fed animals. Dynamic MER models for grazing herd was developed in order to estimate ME requirement for maintenance and productions. These ME requirement models can be used for prediction of energy utilization pattern of the herd in the grazing systems.

THE EFFICIENCY OF UTILIZATION OF METABOLIZABLE ENERGY OF MILK-REPLACER-FED CALVES AT WEANING PERIOD

  • Sekine, J.;Morita, Z.;Oura, R.;Morooka, T.;Asahida, Y.
    • Asian-Australasian Journal of Animal Sciences
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    • 제1권4호
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    • pp.185-187
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    • 1988
  • A total of 22 energy balance trials were done for calves fed a liquid milk replacer, calf starter and second cut mixed hay during weaning period. Milk replacer supplied 50% of the total dietary energy, calf starter 42% and hay 8% Live weight of calves averaged 64.6 ($S.D.{\pm}7.8$) kg and daily gain 0.54 (${\pm}0.22$) kg. The metabolizability of gross energy averaged 0.751. A regression was calculated relating energy retention (ER, $kJ/kg^{0.75}$) to the intake of metabolizable energy (IME, $kJ/kg^{0.75}$): $$ER=0.69({\pm}0.09)IME-395,\;r=0.888,\;P<0.01,\;S.E.{\pm}7.1$$. Metabolizable energy for maintenance (MEm) was calculated to be $572kJ/kg^{0.75}$ when ER = 0. The amount of IME over MEm for an individual animal (MEg, $kJ/kg^{0.75}$) was regressed on average daily gain (ADG, kg) by the method of regression through the origin: $$MEg=364({\pm}55)ADG,\;r=0.634,\;P<0.01,\;S.E.{\pm}12$$. The amount of ME required for maintenance and growth was estimated to be $936kJ/kg^{0.75}$.

METABOLIZABLE ENERGY REQUIREMENTS FOR MAINTENANCE AND GROWTH OF SUCKLING CALVES GIVEN MILK REPLACER

  • Sekine, J.;Oura, R.;Morita, Z.;Morooka, T.;Asahida, Y.
    • Asian-Australasian Journal of Animal Sciences
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    • 제1권2호
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    • pp.61-63
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    • 1988
  • A total of 38 energy balance trials were done for calves fed a liquid milk replacer, calf starter and second cut mixed hay. Milk replacer supplied 81% of the total dietary energy. Live weight of calves averaged 54.1 (S.D 6.2) kg and daily gain 0.37 (${\pm}0.23$)kg. The metabolizability of gross energy averaged 0.822. A regression was calculated relating energy retention (ER, $kJ/kg^{0.75}$) to the intake of metabolizable energy (IME, $kJ/kg^{0.75}$): ER = 0.72 (${\pm}0.12$) IME - 330, r = 0.702, P < 0.01, $S.E.{\pm}18.0$. Metabolizable energy for maintenance (MEm) was calculated to be $458kJ/kg^{0.75}$ when ER = 0. The amount of IME over MEm for an individual animal (Meg, $kJ/kg^{0.75}$) was regressed on averaged daily gain (ADG, kg): Meg = 413 (${\pm}91$) ADG + 0.2, r = 0.650, P < 0.01, $S.E.{\pm}21$. The amount of ME requirement for suckling calves was estimated using values obtained above.

Flexible operation and maintenance optimization of aging cyber-physical energy systems by deep reinforcement learning

  • Zhaojun Hao;Francesco Di Maio;Enrico Zio
    • Nuclear Engineering and Technology
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    • 제56권4호
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    • pp.1472-1479
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    • 2024
  • Cyber-Physical Energy Systems (CPESs) integrate cyber and hardware components to ensure a reliable and safe physical power production and supply. Renewable Energy Sources (RESs) add uncertainty to energy demand that can be dealt with flexible operation (e.g., load-following) of CPES; at the same time, scenarios that could result in severe consequences due to both component stochastic failures and aging of the cyber system of CPES (commonly overlooked) must be accounted for Operation & Maintenance (O&M) planning. In this paper, we make use of Deep Reinforcement Learning (DRL) to search for the optimal O&M strategy that, not only considers the actual system hardware components health conditions and their Remaining Useful Life (RUL), but also the possible accident scenarios caused by the failures and the aging of the hardware and the cyber components, respectively. The novelty of the work lies in embedding the cyber aging model into the CPES model of production planning and failure process; this model is used to help the RL agent, trained with Proximal Policy Optimization (PPO) and Imitation Learning (IL), finding the proper rejuvenation timing for the cyber system accounting for the uncertainty of the cyber system aging process. An application is provided, with regards to the Advanced Lead-cooled Fast Reactor European Demonstrator (ALFRED).

공급신뢰도 개선을 위한 발전기 보수계획 (Generator's Maintenance Scheduling to Improve Supply Reliability)

  • 차준민
    • 에너지공학
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    • 제7권1호
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    • pp.89-95
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    • 1998
  • 발전기의 보수계획은 전력계통의 공급신뢰도를 평가하는데 중요한 영향을 미치는 변수이다. 발전기는 반드시 검사와 보수를 해야 하기 때문에, 운전계획을 세울 때 한해의 발전기 정지계획을 고려하여 정해야 한다. 이러한 보수계획을 수립할 대에는 계절적 부하수요특징, 보수용량, 발전기 용량, 지난번 보수로부터의 경과시간 등의 여러 가지 요인들을 고려해야 한다. 본 논문에서는 발전기 보수계획 프로그램중 실용적인 방법으로 알려져 있는 LOLP(Loss of Load Probability) 평활화법을 이용하여 각 연도별 공급신뢰도를 최대로 하여 고려대상 기간 전체의 공급신뢰도를 향상시키는 보수계획 수립 알고리즘을 제안한다. 즉, 전력계통의 더 좋은 신뢰도를 얻기 위하여 전체 기간에 대한 신뢰도가 평활화되도록 보수시기를 변경하였다. 제안한 알고리즘을 실계통에 적용하여 그 유용성을 검증하였다.

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Maintenance Priority Index of Overhead Transmission Lines for Reliability Centered Approach

  • Heo, Jae-Haeng;Kim, Mun-Kyeom;Kim, Dam;Lyu, Jae-Kun;Kang, Yong-Cheol;Park, Jong-Keun
    • Journal of Electrical Engineering and Technology
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    • 제9권4호
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    • pp.1248-1257
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    • 2014
  • Overhead transmission lines are crucial components in power transmission systems. Well-designed maintenance strategy for overhead lines is required for power utilities to minimize operating costs, while improving the reliability of the power system. This paper presents a maintenance priority index (MPI) of overhead lines for a reliability centered approach. Proposed maintenance strategy is composed of a state index and importance indices, taking into account a transmission condition and importance in system reliability, respectively. The state index is used to determine the condition of overhead lines. On the other hand, the proposed importance indices indicate their criticality analysis in transmission system, by using a load effect index (LEI) and failure effect index (FEI). The proposed maintenance method using the MPI has been tested on an IEEE 9-bus system, and a numerical result demonstrates that our strategy is more cost effective than traditional maintenance strategies.

Applications of Agent-Based Modeling (ABM) in Enhancing Facility Operation and Management

  • Khodabandelu, Ali;Park, JeeWoong
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.393-400
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    • 2022
  • Agent-based modeling (ABM), as a relatively new simulation technique, has recently gained in popularity in the civil engineering domain due to its uniquely advantageous features. Among many civil engineering applications, ABM has been applied to facility operation and management, such as energy consumption management, as well as the enhancement of maintenance and repair processes. The former studies used ABM to manage energy consumption through simulating human energy-related behaviors and their interactions with facilities, as well as electrical, heating, and cooling systems and appliances, while the latter used ABM to enhance maintenance process through facilitating coordination, negotiation, and decision making between facility managers, service providers, and repair workers. The present study aims to provide a short qualitative review on the most recent applications of ABM in the above-mentioned areas. Based on the review and follow-up analysis, the study identifies the advantages, disadvantages, and limitations of ABM applications to facility operation and management, and offers several potential future research topics in the hope of filling the existing literature gaps.

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Analysis of Remote Operation involved in Spent Nuclear Fuel Conditioning Process using its Virtual Mockup

  • Yoon, Ji-Sup;Kim, Sung-Hyun;Song, Tai-Gil
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.840-845
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    • 2004
  • The remote operation of the Advanced Spent Fuel Conditioning Process (ACP) is analyzed by using the 3D graphic simulation tools. Since the spent nuclear fuel, which is a high radioactive material, is processed in the ACP, the ACP equipment is operated in intense radiation fields as well as in a high temperature. Thus, the equipment is operated in a remote manner and should be designed with consideration for the remote handling and maintenance. Also suitable remote handling technology needs to be developed along with the design of the process concepts. For this we developed a graphic simulator, which provides the capability of verifying the remote operability of the ACP without the fabrication of the process equipment. In other words, by applying virtual reality to the remote maintenance operation, a remote operation task can be simulated in the graphic simulator, not in the real environment. The graphic simulator will substantially reduce the cost of the development of the remote handling and maintenance procedure as well as the process equipment, while at the same time developing a remote maintenance concept that is more reliable, easier to implement, and easier to understand.

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