• Title/Summary/Keyword: Energy Plus simulation

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The Study on EnergyPlus Simulation Application Feasibility for Exit Air Temperature Prediction through Horizontal Geothermal Heat Exchanger (수평형 지중 열교환기의 출구온도 예측을 위한 EnergyPlus 적용 타당성에 관한 연구)

  • Hwang, Yongho;Cho, Sungwoo
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.28 no.4
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    • pp.131-136
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    • 2016
  • Horizontal geothermal heat exchanger is affected by various factors such as pipe length, soil temperature, and outdoor environment. Simulation program is convenient for responding to various factors. The objective of this study was to determine the feasibility of using EnergyPlus to predict exit air temperature through horizontal geothermal heat exchanger in domestic. The correlation coefficient between EnergyPlus results and experimental results was 0.825. The correlation coefficient between EnergyPlus results and mathematical results was 0.722, indicating "The two values can based on Lousi on values can be Our results indicate that it is possible to use EnergyPlus to predict exit air temperature through horizontal geothermal heat exchanger.

Performance Evaluation of a Dynamic Inverse Model with EnergyPlus Model Simulation for Building Cooling Loads (건물냉방부하에 대한 동적 인버스 모델링기법의 EnergyPlus 건물모델 적용을 통한 성능평가)

  • Lee, Kyoung-Ho;Braun, James E.
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.20 no.3
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    • pp.205-212
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    • 2008
  • This paper describes the application of an inverse building model to a calibrated forward building model using EnergyPlus program. Typically, inverse models are trained using measured data. However, in this study, an inverse building model was trained using data generated by an EnergyPlus model for an actual office building. The EnergyPlus model was calibrated using field data for the building. A training data set for a month of July was generated from the EnergyPlus model to train the inverse model. Cooling load prediction of the trained inverse model was tested using another data set from the EnergyPlus model for a month of August. Predicted cooling loads showed good agreement with cooling loads from the EnergyPlus model with root-mean square errors of 4.11%. In addition, different control strategies with dynamic cooling setpoint variation were simulated using the inverse model. Peak cooling loads and daily cooling loads were compared for the dynamic simulation.

Simulation on Energy Consumption in the Summer Season Operation of primary HVAC system for Multipurpose Building Complex (다목적 복합건물의 하절기 열원기기 운전시 소비전력에 관한 시뮬레이션)

  • Suh, Jae-Kyoung;Choi, Seung-Gil;Kang, Chae-Dong
    • Proceedings of the SAREK Conference
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    • 2006.06a
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    • pp.903-908
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    • 2006
  • Building energy simulation has become a useful tool for predicting cooling, heating and air-conditioning loads for facilities. It is important to provide building energy performances feed back to the mechanical and electrical system operator and engineer for energy conservation and maintenance of building. From this research, we set up the typical weather data of location, basic description of building, geometric modelling data and the specification of Installed primary HVAC system for establishing the simulation model about energy consuming that take place in multipurpose building complex. The simulation tool of building energy - EnergyPlus (DOE and BLAST based simulation S/W), it has been used and accomplished calculations and analyses for evaluating the effect of the system types and operating condition of central HVAC plant on the building energy consumption. In this paper, we offer comparison and simultaneous results those involve electricity consumption pattern and amount between actual operation versus EnergyPlus simulation to the object building during summer season.

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BEPAT: A platform for building energy assessment in energy smart homes and design optimization

  • Kamel, Ehsan;Memari, Ali M.
    • Advances in Energy Research
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    • v.5 no.4
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    • pp.321-339
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    • 2017
  • Energy simulation tools can provide information on the amount of heat transfer through building envelope components, which are considered the main sources of heat loss in buildings. Therefore, it is important to improve the quality of outputs from energy simulation tools and also the process of obtaining them. In this paper, a new Building Energy Performance Assessment Tool (BEPAT) is introduced, which provides users with granular data related to heat transfer through every single wall, window, door, roof, and floor in a building and automatically saves all the related data in text files. This information can be used to identify the envelope components for thermal improvement through energy retrofit or during the design phase. The generated data can also be adopted in the design of energy smart homes, building design tools, and energy retrofit tools as a supplementary dataset. BEPAT is developed by modifying EnergyPlus source code as the energy simulation engine using C++, which only requires Input Data File (IDF) and weather file to perform the energy simulation and automatically provide detailed output. To validate the BEPAT results, a computer model is developed in Revit for use in BEPAT. Validating BEPAT's output with EnergyPlus "advanced output" shows a difference of less than 2% and thus establishing the capability of this tool to facilitate the provision of detailed output on the quantity of heat transfer through walls, fenestrations, roofs, and floors.

Analysis of Building Energy using Automated Weather System Data (자동 기상관측 자료를 이용한 건축물 에너지 분석)

  • Lee, Kwi-Ok;Kang, Dong-Bae;Lee, Kang-Yoel;Jung, Woo-Sik;Sim, Je-Hean;Yoon, Seong-Hwan
    • Journal of Environmental Science International
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    • v.23 no.3
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    • pp.493-502
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    • 2014
  • EnergyPlus is a whole building energy simulation program that engineers, architects, and researchers use to model energy and water use in buildings. Modeling the performance of a building with EnergyPlus enables building professionals to optimize the building design to use less energy and water. This program provides energy analysis of building and needs weather data for simulation. Weather data is available for over 2,000 locations in a file format that can be read by EnergyPlus. However, only five locations are avaliable in Korea. This study intends to use AWS data for having high spatial resolution to simulate building energy. The result of this study shows the possibility of using AWS data for energy simulation of building.

Evaluation and Analysis of The Building Energy Saving Performance by Component of Wood Products Using EnergyPlus (EnergyPlus를 이용한 건물 부위별 목질제품 적용에 따른 건축물 에너지 절감 기여도 평가)

  • Seo, Jungki;Wi, Seunghwan;Kim, Sumin
    • Journal of the Korean Wood Science and Technology
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    • v.44 no.5
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    • pp.655-663
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    • 2016
  • Increasing green house gas and it consequent climate change problems are discussed as a global issue. Accordingly, future local green house gas emission will increase up to 40% of the entire local green house gas emission and therefore, efforts to reduce the emission in construction industry is urgently required. Therefore, in this study, heating energy demand was analyzed by using the EnergyPlus simulation according to wood material finishes configuration. EnergyPlus has the entry for a variety of buildings and heating, ventilation, air conditioning (HAVC) system components, in particular buildings, air conditioning systems, and performs simultaneous integrated calculated through the feedback between the heat source unit, a verification program according to the ASHRAE Standard 140-2007 to be. The climate data for the simulation we used the data IWEC in Incheon and Gwangju provided by EnergyPlus. The analysis of simulation model was farm and fishing house standard design drawings: 2012, presented at the Korea Rural Community Corporation. The results of simulation of central region and southern region were effected by wood products of simulation model into the interior finish, exterior finish, windows, wooden structure. Also, it was confirmed that the reduced heating energy demand.

Comparison of Energy Performance between Ground-Source Heat Pump System and Variable Refrigerant Flow(VRF) Systems using Simulation (시뮬레이션을 통한 지열 히트펌프 시스템과 VRF 시스템의 에너지 성능비교)

  • Sohn, Byonghu;Lim, Hyojae;Kang, Seongjae
    • Journal of the Korean Society for Geothermal and Hydrothermal Energy
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    • v.17 no.3
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    • pp.30-40
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    • 2021
  • This paper compares the annual energy performance of four different types of air-conditioning systems in a medium-sized office building. Chiller and boiler, air-cooled VRF, ground-source VRF, and ground-source heat pump systems were selected as the systems to be compared. Specifically, the energy performance of the GSHP system and the ground-source VRF system were compared with each other and also with conventional HVAC systems including the chiller and boiler system and air-cooled VRF system. In order to evaluate and compare the energy performances of four systems for the office building, EnergyPlus, a whole-building energy simulation program, was used. The EnergyPlus simulation results show that both the GSHP and the ground-source VRF systems not only save more energy than the other two systems but also significantly reduce the electric peak demand. These make the GSHP and the VRF systems more desirable energy-efficient HVAC technologies for the utility companies and their clients. It is necessary to analyze the impact of partial load performance of ground-source heat pump and ground-source VRF on the long-term (more than 20 years) performance of ground heat exchangers and entire systems.

Analysis on the Impact of Load Factors in Building Energy Simulation Affecting Building Energy Consumption (에너지시뮬레이션에서의 부하요소가 건물에너지사용량에 미치는 영향 분석)

  • Yoon, Kap-Chun;Jeon, Jong-Ug;Kim, Kang-Soo
    • KIEAE Journal
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    • v.11 no.4
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    • pp.71-78
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    • 2011
  • The goal of this study is to analyze the impact of load factors on building energy consumption by using EnergyPlus program. We selected a campus building and monitored energy consumption from January 2009 to November 2010. First, we simulated energy consumption basically with weather data, building heat gain and EHP performance data. And then we simulated energy consumption with three additional parameter(infiltration, OA control and schedule). Simulation results are verified by MBE and Cv(RMSE) proposed by M&V guideline 3.0. Simulated total energy consumption was 104.3% of measurements, 4.33% of MBE, and 13.62% of Cv(RMSE). Results show infiltration and schedule were revealed as the most dominant factor of heating energy consumption and of cooling energy consumption, respectively.

An Application Analysis of Renewable Energy for Public Building and an Analysis of Building Energy Substitution Rate (공공건축물의 신재생에너지 적용분석 및 건물에너지 분담률 분석)

  • Kang, Su-Hyun;Yu, Si-Wan;Hwang, Jung-Ha;Cho, Young-Hum
    • 한국태양에너지학회:학술대회논문집
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    • 2011.11a
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    • pp.348-353
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    • 2011
  • Recently the renewable energy has been used widely and the importance of renewable sources is bigger than before. So the government enforced a law to the public buildings to install the renewable energy facilities. The capacity of facilities is 5% of total construction cost until April 13, 2011. Since then, the government changed the law from 5% of total construction cost to 10% of predicted energy usage because of the practical use of the renewable energy facilities. So, in this study, the comparative analysis is conducted according to the law to the building installed PV system through the EnergyPlus simulation.

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An Approach to Model Ground-Coupled Building Foundation for Energy Simulation (Ground-Coupled 바닥구조체의 열전달 모델링)

  • 임병찬
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.16 no.7
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    • pp.658-666
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    • 2004
  • In this paper, a two-dimensional transient ground-coupled numerical model for slab-on-grade foundation is developed and integrated into EnergyPlus. A validation analysis is first presented to ensure that for the developed building foundation heat transfer module is properly implemented within EnergyPlus. Then, the predictions from the developed model are compared to those obtained from the simplified building foundation model currently used in EnergyPlus. The results show that the developed foundation heat transfer module accounts better for the effects of the ground thermal mass attributed to the ground than the simplified foundation model currently used in EnergyPlus.