• Title/Summary/Keyword: Simulation EnergyPlus

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A Study on the Cost Effective DSM Method for Lighting Power Control through Pilot Test Based on Pre-Verified Methodologies (다양한 형태의 조명(형광등) 전력제어 실증시험을 통한 비용효과적인 전력수요관리방법 도출)

  • Yang, Seung-Kwon;Kim, Dae-Young
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.27 no.2
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    • pp.7-13
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    • 2013
  • The portion of lighting power consumption for our country is up to 20~30% of the total amount. Currently, most of the DSM(Demand side management) of lighting power is delivered in supply of high efficient lighting to customers. On the contrary, applications of lighting power to power load leveling are still rare. In this paper, the simulations for various control types of lighting power for load leveling are tried, and we obtained the cost effective and optimal control method through that. This simulation was executed in test office with fluorescent light by us based on applying 8 control types(on, off & dimming), considering customers' satisfaction, for instance, minimum intensity of illumination allowed. According to the result of this test, we found that mixed type(chessboard(on-off) plus dimming control(10%)) is most effective.

Simulations of Catalytic Gasification Process Using ASPEN PLUS (ASPEN PLUS를 이용한 촉매 가스화 공정 Simulation)

  • 김수현;김형택
    • Proceedings of the Korea Society for Energy Engineering kosee Conference
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    • 2000.11a
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    • pp.19-24
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    • 2000
  • 수소 연료는 공해물질을 전혀 배출하지 않고 수송용 및 연료전지 등에 널리 사용되므로 21세기의 궁극에너지로 인식되고 있다. 수소가 미래의 궁극적인 대체에너지원 또는 에너지 매체로 꼽히고 있는 것은 현재의 화석연료나 원자력 등이 따를 수 없는 장점을 갖고 있기 때문이다. 또한 수소는 연소시 극소량의 질소가 생성되는 것을 제외하고는 공해물질이 배출되지 않으며, 직접 연소를 위한 연료 또는 연료전지 등의 연료로 사용이 간편하다. 그러나, 기존의 수소제조 기술은 화석연료 중의 탄소 성분을 물과 반응시켜 수소로 만들기 때문에 상당량의 에너지가 필요하고 이 반응은 흡열반응이기 때문에 탄소 성분을 가스화 시키기 위해서는 1300K 이상의 고온과 상당한 반응기 용량이 요구된다.(중략)

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Development of Predictive Model for Pollutants Emission from Power Plants (발전소의 대기오염물질 배출 예측 모델 개발)

  • 김민석;김경희;이인범
    • Journal of Institute of Control, Robotics and Systems
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    • v.4 no.4
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    • pp.543-550
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    • 1998
  • From the power plant in a steel plant, environment pollutants such as $SO_x$, $NO_x$, CO and $CO_2$ are emitted by combustion reactions of the fuels which are by-product gases, oil and liquefied natural gas(LNG). To reduce the amounts of the pollutants, it is important to build a predictive model for the emission of the pollutants. In this paper, model that predict the amounts of generated pollutants for the used fuel is developed by using Gibbs free energy minimization method[1] with the temperature correction technique. For some data set, the calculation results from this model are compared with the real emission amounts of $SO_x$, $NO_x$, and the result of the calculation by both ASPEN PLUS which is a commercial simulation software. This model shows good results and can be applied to other power plants.

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Comparison on the Economical Efficiency of the Multiple Glazed Windows According to Life Cycle Costing of an Officetel Model Building (오피스텔 모델건물의 생애주기비용 분석에 의한 다층유리창 경제성 비교)

  • Jung Gun-Joo
    • Journal of the Korean housing association
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    • v.17 no.4
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    • pp.101-109
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    • 2006
  • The purpose of this study was to suggest ways on reducing the cooling and heating energy cost of the officetel building with the multiple glazing windows according to Life Cycle Costing. This study consisted of an hour-by hour energy simulation program and further data from the EnergyPlus V1-2-2 to the four pane type windows that were applied with 2 low-e polyester film and krypton gas to the officetel model building. It was determined that the four panes type windows that had 2 low-e polyester film and krypton gas applied to, them showed a cooling and heating cost reduction over traditional double glazed windows that were filled with air. According to this study, as well as the information from chart 4.5 and the LCC it was determined that the present value of the four panes of windows that had 2 low-e polyester film and krypton gas applied to them showed. a 11.4% reduction in heating and cooling in comparison to the traditional double glazed windows that were filled with air.

The Analysis of the Energy Saving Performances of Building Materials using Phase Change Materials (상변화물질을 적용한 건축자재의 에너지절약 가능성 분석)

  • An, Sang-Min;Hwang, Suck-Ho;Kim, Tae-Yeon;Leigh, Seung-Bok
    • 한국태양에너지학회:학술대회논문집
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    • 2011.04a
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    • pp.162-167
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    • 2011
  • Thermal storage plays an important role in building energy saving, which is greatly assisted by the incorporation of latent heat storage in building materials. A phase change material is a substance with a high heat of fusion which, melting and solidifying at a certain temperature, can be storing and releasing large amount of energy. Heat is stored or released when the material changes from solid to liquid. Integration of building materials incorporating PCMs into the building envelope can result in increased efficiency of the built environment. The aim of this research is to identify thermal performance of PCMs impregnated building materials which is applied to interior of building such as gypsum and red clay. In order to analyze thermal performance of phase change materials, test-cell experiments and simulation analysis were carried out. The results show that micro-encapsulated PCM has an effect to maintain a constant indoor temperature using latent heat through the test-cell experiments. PCM wallboard makes it possible to reduce the fluctuation of room temperature and heating and cooling load by using EnergyPlus simulation program. Phase change material can store solar energy directly in buildings. Increasing the heat capacity of a building is capable of improving human comfort by decreasing the frequency of indoor air temperature swings so that the interior air temperature is closer to the desired temperature for a long period of time.

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Thermal Performance Evaluation of a Test Cell Thru Short Term Measurements (TEST CELL에서 단기측정에 의한 열성능 평가)

  • Jeon, M.S.;Yoon, H.K.;Chun, W.G.;Jeon, H.S.
    • Solar Energy
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    • v.10 no.2
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    • pp.10-17
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    • 1990
  • Short-term tests were conducted on a house at KIER, Daejon for its thermal performance evaluation. The test procedure and data analysis were made according to the PSTAR method. Each test period was 3 days during which the building was unoccupied. The data measured with 8 channels were used to renormalize an audit based simulation model of the house. The following are the key parameters obtained in the present analysis: 1) the building loss coefficient(skin conductance plus infiltration conductance during coheating period); 2) the effective building heat capacity; and 3) the effective solar gain. An estimation of total heat required to maintain a standard level of comfort during a typical winter season is also calculated on the basis of the renormalized simulation model and typical long term weather data.

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Braking Torque Closed-Loop Control of Switched Reluctance Machines for Electric Vehicles

  • Cheng, He;Chen, Hao;Yang, Zhou;Huang, Weilong
    • Journal of Power Electronics
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    • v.15 no.2
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    • pp.469-478
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    • 2015
  • In order to promote the application of switched reluctance machines (SRM) in electric vehicles (EVs), the braking torque closed-loop control of a SRM is proposed. A hysteresis current regulator with the soft chopping mode is employed to reduce the switching frequency and switching loss. A torque estimator is designed to estimate the braking torque online and to achieve braking torque feedback. A feed-forward plus saturation compensation torque regulator is designed to decrease the dynamic response time and to improve the steady-state accuracy of the braking torque. The turn-on and turn-off angles are optimized by a genetic algorithm (GA) to reduce the braking torque ripple and to improve the braking energy feedback efficiency. Finally, a simulation model and an experimental platform are built. The simulation and experimental results demonstrate the correctness of the proposed control strategy.

A Study on the Effective Operation of HVAC Systems on Manufacturing Plants by EnergyPlus and PSO Algorithm (EnergyPlus와 PSO알고리즘을 이용한 제조플랜트 냉난방/공조시스템의 최적 운영에 관한 연구)

  • Lee, Eon;Jeong, Jin Woo;Zhao, Wen Bin;Noh, Sang Do
    • Korean Journal of Computational Design and Engineering
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    • v.18 no.2
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    • pp.120-128
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    • 2013
  • Recently, the importance of the HVAC system (Heating, Ventilating and Air Conditioning System) is growing because comfortable working environment has emerged as important element for enhancing work efficiency. HVAC system is a general term of a system that collectively creates desired temperature and state through heating and air conditioning. HVAC system consists of many objects, so it requires a lot of constraints for its effective operation. Thus, specific strategy is needed for an optimal operation of HVAC System for plant. In this paper, manufacturing plants which have HVAC systems has been modeled and the objective function and constraints for an effective operation have been defined. And new strategy for an effective operation of HVAC system with energy simulations has been proposed.

Study on Optimal Control Algorithm of Electricity Use in a Single Family House Model Reflecting PV Power Generation and Cooling Demand (단독주택 태양광 발전과 냉방수요를 반영한 전력 최적운용 전략 연구)

  • Seo, Jeong-Ah;Shin, Younggy;Lee, Kyoung-ho
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.28 no.10
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    • pp.381-386
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    • 2016
  • An optimization algorithm is developed based on a simulation case of a single family house model equipped with PV arrays. To increase the nationwide use of PV power generation facilities, a market-competitive electricity price needs to be introduced, which is determined based on the time of use. In this study, quadratic programming optimization was applied to minimize the electricity bill while maintaining the indoor temperature within allowable error bounds. For optimization, it is assumed that the weather and electricity demand are predicted. An EnergyPlus-based house model was approximated by using an equivalent RC circuit model for application as a linear constraint to the optimization. Based on the RC model, model predictive control was applied to the management of the cooling load and electricity for the first week of August. The result shows that more than 25% of electricity consumed for cooling can be saved by allowing excursions of temperature error within an affordable range. In addition, profit can be made by reselling electricity to the main grid energy supplier during peak hours.

The study of the solar radiation emitted per hour in Incheon applied in load calculation programs (부하계산 프로그램에서 적용되는 인천지역의 시간당 일사량에 관한 연구)

  • Yoo, Ho-Chun;Lee, Seon-Dong
    • Journal of the Korean Solar Energy Society
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    • v.30 no.6
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    • pp.108-117
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    • 2010
  • Although many researches of simulation programs to predict climate under the current climate change have been performed but more detailed studies of weather date which might influence the load of buildings seem insufficient. In this study, in Incheon are analyzed IES (Integrated Environmental Solutions)6.0, Ecotect 2010, EnergyPlus v4.0's IWEC file and ISO-TRY, the Korean standard weather data provided by the Korean Solar Energy Society for direct normal radiation which is used in load calculation programs. The results show that the radiation of the programs is the same as that of direct normal radiation per month but has a mere difference, compared with the radiation per hour and IWEC has also 77.12% when compared with ISO-TRY, meaning that it could affect load values of buildings when applied to them. And in case of ISO-TRY, it could be judged that the application of test reference year applied by the data measured has higher reliability than IWEC file.