• Title/Summary/Keyword: Optimal operation schedule

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Development of Simulation Model Based Optimal Start and Stop Control Daily Strategy (시뮬레이션 모델기반 냉난방 설비 일별 최적 기동/정지 제어기법 개발)

  • Lee, Chanwoo;Koo, Junemo
    • Journal of the Korean Society for Geothermal and Hydrothermal Energy
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    • v.14 no.1
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    • pp.16-21
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    • 2018
  • This work aims to develop a platform to investigate the effect of operation schedules on the building energy consumption and to derive a simulation model based optimal start and stop daily strategy. An open-source building energy simulation tool DOE2 is used for the engine, and the developed simulation model is validated using ASHRAE guideline 14. The effect of late-start/early-stop operation of HVAC system on the daily building energy consumption was analyzed using the developed simulation model. It was found that about 10% of energy consumption cut was possible using the control strategy for an hour of advance of the stop operation, and about 3% per an hour of delay of the start operation.

A STUDY ON SPACE ZONING BY COMPUTING IDLE-TIMES IN CONSTRUCTION PROCESSES

  • Sang-Min Park;Won-Suk Jang;Dong-Eun Lee
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.509-512
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    • 2013
  • An inappropriate space zoning plan causes the unnecessary transportation of construction material and equipment among work areas and increases the disorder of work space. Space zoning is an essential operation management technique which contributes to reduce the process and/or operation idle-time. This paper introduces a method that computes the idle-times between construction operations (or processes) by using Web-CYCLONE. It allows computing with idle-times that affect the construction productivity. Using the idle time between operations and between processes, it computes the optimal number of zones and finds the optimal combination of zones that minimize the idle times. The method contributes to minimize the idle times relative to the operation schedule using complete enumeration. This paper presents the system prototype in detail. A case study is presented to demonstrate the system and verifies the validity of the model. It allows a project manager to establish space zoning plan that effectively segregates a project into optimal number of construction zones and to assign the constrained resources (e.g., laborer, equipment).

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A Study on the Fuel Constrained Optimal Weekly Power Generation Schedule Package (발전연료 제약을 고려한 주간 발전계획 전산화 시스템 개발에 관한 연구)

  • Oh, Tae-Kyoo;Kim, Sung-Soo;Kwon, Young-Jun;Choi, Bong-Soo;Yu, In-Woo
    • Proceedings of the KIEE Conference
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    • 1990.11a
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    • pp.220-223
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    • 1990
  • An overview of weekly power generation schedule package is presented. The overall unit commitment logic and the pumped storage operation scheme in the program is illustrated. The results of the application to a practical system is reported.

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A Study on the Effects of Maintenance Schedule in a Competitive Electricity Market (경쟁시장에서 보수계획의 수익영향과 최적보수 방향)

  • Kim, C.S.;Rhee, C.H.
    • Proceedings of the KIEE Conference
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    • 2003.07a
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    • pp.593-595
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    • 2003
  • The introduction of electricity industry provides generators incentives to recover the related cost through the market. Hence, the generator should sell his/her electricity at high market-clearing price with optimal operation of his/her power plant. The maintenance of power plant is the most critical factor in affecting generators' decision-making. This paper analyzes technique for establishing maintenance schedule reflecting recovery cost and considers differences in monthly load pattern in minimizing LOLP.

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Blind Optimal Operating Schedule for Reviewing the Energy Load Reduction of Apartment House (공동주택의 에너지 부하량 저감을 위한 블라인드 운영스케줄 검토)

  • Ma, Jun-ChaO;Lee, Jun-Gi;Kim, Sung-Hoon;Lee, Gab-Taek;Lee, Kyung-Hee
    • Journal of Power System Engineering
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    • v.20 no.4
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    • pp.63-68
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    • 2016
  • In this study, through portion of the blind control which the user can adjust the deration and the main loads, night for energy reduction during the review of the energy difference between the cooling and heating load periods in order to present the best operation schedules of the blind control. The result, Cooling period, the venetian blind is installed the day or the day and night CASE adjusted to $0^{\circ}$ was identified as optimal for the operating schedule. Heating period, the day, without installed the blinds, the Venetian blind is installed only at night CASE adjusted to $0^{\circ}$ or $45^{\circ}$ angle of the slats, which have been identified as optimal for the operating schedule.

Study on the Optimum Route Travel Time for Bus to Improve Bus Schedule Reliability (정시성 확보를 위한 버스노선 당 적정 운행시간 산정 연구)

  • Kim, Min ju;Lee, Young ihn
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.6
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    • pp.112-123
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    • 2017
  • The accurate forecasting of the public transportation's transit and arrival time has become increasingly important as more people use buses and subways instead of personal vehicles under the government's public transportation promotion policy. Using bus management system (BMS) data, which provide information on the real-time bus location, operation interval, and operation history, it is now possible to analyze the bus schedule reliability. However, the punctuality should always be considered together with the operation safety. Therefore, this study suggests a new methodology to secure both reliability and safety using the BMS data. Unlike other studies, we calculated the bus travel time between two bus stops by dividing the total travel length into 6 sections using 5 different measuring points. In addition, the optimal travel time for each bus route was proposed by analyzing the mean, standard deviation and coefficient of variation of the each section's measurement. This will ensure the reliability, safety and mobility of the bus operation.

Analysis of Surgical Blood Use in Operation at YUMC (영남대학부속병원에서의 수술중 수혈량의 분석(1987~1988) - 수술전 혈액의뢰지침 -)

  • Kim, Chung-Sook;Kim, Kyuyng-Dong;Kim, Dae-Chul
    • Journal of Yeungnam Medical Science
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    • v.7 no.1
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    • pp.133-144
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    • 1990
  • This study was performed to guide the effective utilization of blood and optimal blood ordering schedule for various elective surgeries, based on the analysis of 1.462 transfused surgical procedures and 5.933 blood units transfused during operation in the period of two years through January, 1987 to December, 1988 at Yeungnam University Hospital. The frequency of transfusion, and mean transfused units were evaluated and recommended blood unit for each surgical procedure was proposed. We assure that the successful establishment of this guideline can lead to substantial monetary saving, reduced blood outdation, and a decreased blood bank workload with a more appropriate allocation of the technician's time and effort.

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Guidline for the Maximum Surgical Blood Order Schedule (MSBOS) for Surgical Operations (수술용 최대혈액신청량(MSBOS)의 설정)

  • Shin, Kyung A;Choi, Jong Tai;Kim, Hyun Soo
    • Korean Journal of Clinical Laboratory Science
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    • v.36 no.2
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    • pp.153-157
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    • 2004
  • The aim of our study is to determine maximum surgical blood order schedule (MSBOS) in each surgical operation through analyzing usage of blood products at Bundang Jesaeng General Hospital. We investigated the amount of transfused red cells for each operation and calculated crossmatching-to-transfusion ratio (C/T ratio) and MSBOS. This was accomplished by referring to the Laboratory Information System program during 1 year from January through December 2003. Coronary artery bypass surgery and decompressive craniectomy showed the highest MSBOS in our hospital. The average C/T ratio was 3.2 and excessive reservations for blood products have been made for many operations. From this study, guidelines for the optimal blood ordering for each surgery were suggested.

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Artificial Neural Network Models for Optimal Start and Stop of Chiller and AHU (인공신경망 모델을 이용한 냉동기 및 공조기 최적 기동/정지 제어)

  • Park, SungHo;Ahn, Ki Uhn;Hwang, Aaron;Choi, Sunkyu;Park, Cheol Soo
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.35 no.2
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    • pp.45-52
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    • 2019
  • BEMS(Building Energy Management Systems) have been applied to office buildings and collect relevant building energy data, e.g. temperatures, mass flow rates and energy consumptions of building mechanical systems and indoor spaces. The aforementioned measured data can be beneficially utilized for developing data-driven machine learning models which can be then used as part of MPC(Model Predictive Control) and/or optimal control strategies. In this study, the authors developed ANN(Artificial Neural Network) models of an AHU (Air Handling Unit) and a chiller for a real-life office building using BEMS data. Based on the ANN models, the authors developed optimal control strategies, e.g. daily operation schedule with regard to optimal start and stop of the AHU and the chiller (500 RT). It was found that due to the optimal start and stop of the AHU and the chiller, 4.5% and 16.4% of operation hours of the AHU and the chiller could be saved, compared to an existing operation.