• Title, Summary, Keyword: EnergyPlus

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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.

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.

A Comparative Study on Heating Energy Consumption of Multi-Family Apartment using EnergyPlus and eQUEST (EnergyPlus와 eQUEST를 이용한 공동주택의 난방에너지소비량 비교분석에 관한 연구)

  • Park, Doo-Yong;Yoon, Kap-Chun;Kim, Kang-So
    • Journal of the Korean Solar Energy Society
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    • v.33 no.1
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    • pp.48-56
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    • 2013
  • Energy consumption analysis of multi-family apartment is an important area of research for the design of energy-saving housing. In this study, we selected a universal type of Flat-type apartments and analyzed the heating energy consumption of variables such as U-value, G-value, infiltration rate, heating setpoint and boiler efficiency with EnergyPlus and eQUEST. With these results, we identify the characteristics of EnergyPlus and eQUEST and provided base data for the design of energy-saving housing. The results indicate that infiltration rate is the most important factors to consider. And eQUEST heating energy consumption is approximately 10% higher compared to the EnergyPlus under same condition.

Design and Energy Performance Evaluation of Plus Energy House (플러스에너지하우스 설계 및 에너지 성능 평가)

  • Kim, Min-Hwi;Lim, Hee-Won;Shin, U-Cheul;Kim, Hyo-Jung;Kim, Hyun-Ki;Kim, Jong-Kyu
    • Journal of the Korean Solar Energy Society
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    • v.38 no.2
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    • pp.55-66
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    • 2018
  • South Korea aims to shift the 20 percent of electricity supplement from the fossil fuel including the nuclear to renewable energy systems by 2030. In order to realize this agenda in the buildings, the plus energy house is necessary to increase the renewable energy supplement beyond the zero energy house. This paper suggested KePSH (KIER Energy-Plus Solar House) and energy performance of house and renewable energy systems was investigated. The KePSH has the target of generating 40% surplus energy than the conventional house energy consumption. The plus energy house is the house that generates surplus energy from the renewable energy sources than that consumes. In order to minimize the cooling and heating load of the house, the shape design and passive parameters design were conducted. Based on the experimental data of the plug load in the typical house, the total energy consumption of the house was estimated. This paper also suggested renewable energy sources integrated HVAC system using air-source heat pump system. Two cases of renewable energy system integration methods were suggested, and energy performance of the cases was investigated using TRNSYS 17 program. The results showed that the BIPV (building integrated photovoltaic) system (i.e., CASE 1) and BIPV and BIST system (i.e., CASE 2) shows 42% and 29% of plus energy rate, respectivey. Also, CASE 1 can generate 59% more surplus energy compared with the CASE 2 under the same installation area.

Capacity and Power Input Performance Curves Creation of Water-cooled VRF Heat Pump for EnergyPlus (EnergyPlus 해석용 수랭식 VRF 히트펌프의 냉·난방 능력 및 소비전력 예측식 산출 기법)

  • Kim, Min-Ji;Kwon, Hyuk-Joo;Lee, Kwang Ho
    • Transactions of the Korea Society of Geothermal Energy Engineers
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    • v.13 no.3
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    • pp.1-8
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    • 2017
  • Variable refrigerant flow (VRF) systems have recently attracted attention in many countries due to a variety of advantages over conventional system. Especially, the water-cooled VRF heat pump, including geothermal heat pump, is a system that accurately controls the flow rate of refrigerant for the improved efficiency under part load operation. This paper describe the process of generating the cooling and heating energy performance curve coefficients and performance expressions for modeling water cooled VRF system using EnergyPlus. Through this study, the process for generating performance curves can be implemented into EnergyPlus or other comparable building energy analysis tools for the long-term evaluation of heat pump under dynamic conditions.

Mass-Based Metabolomic Analysis of Lactobacillus sakei and Its Growth Media at Different Growth Phases

  • Lee, Sang Bong;Rhee, Young Kyoung;Gu, Eun-Ji;Kim, Dong-Wook;Jang, Gwang-Ju;Song, Seong-Hwa;Lee, Jae-In;Kim, Bo-Min;Lee, Hyeon-Jeong;Hong, Hee-Do;Cho, Chang-Won;Kim, Hyun-Jin
    • Journal of Microbiology and Biotechnology
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    • v.27 no.5
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    • pp.925-932
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    • 2017
  • Changes in the metabolite profiles of Lactobacillus sakei and its growth media, based on different culture times (0, 6, 12, and 24 h), were investigated using gas chromatography-mass spectrometry (MS) and liquid chromatography-MS with partial least squares discriminant analysis, in order to understand the growth characteristics of this organism. Cell and media samples of L. sakei were significantly separated on PLS-DA score plots. Cell and media metabolites, including sugars, amino acids, and organic acids, were identified as major metabolites contributing to the difference among samples. The alteration of cell and media metabolites during cell growth was strongly associated with energy production. Glucose, fructose, carnitine, tryptophan, and malic acid in the growth media were used as primary energy sources during the initial growth stage, but after the exhaustion of these energy sources, L. sakei could utilize other sources such as trehalose, citric acid, and lysine in the cell. The change in the levels of these energy sources was inversely similar to the energy production, especially ATP. Based on these identified metabolites, the metabolomic pathway associated with energy production through lactic acid fermentation was proposed. Although further studies are required, these results suggest that MS-based metabolomic analysis might be a useful tool for understanding the growth characteristics of L. sakei, the most important bacterium associated with meat and vegetable fermentation, during growth.

Energy Plus 부하 해석 프로그램

  • 공성훈
    • The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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    • v.29 no.7
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    • pp.56-59
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    • 2000
  • Energy Plus의 첫 작업버전인 알파 버전은, 작업 팀에 의한 내부 테스트가 1998년 12월에 이루어 졌으며, 외부 사용자들이 1999년 말에 테스트를 하여 2001년 초에는 Energy Plus 버전 1.0을 개발할 예정이며 향후에도 지속적인 개발을 계획 하고 있다. Energy Plus는 BLAST와 DOE-2의 장점과 많은 새로운 시뮬레이션 성능을 지닌 에너지 시뮬레이션 프로그램이 될 것으로 기대한다 Energy Plus 프로그램의 주요기능은 다음과 같다. · 열평형 부하 계산 · 동일 시간대에서 통합된 부하, 시스템, 플랜트 계산 · 사용자 위주의 HVAC 시스템 해석 · 다른 개발자가 새로운 시뮬레이션 모듈을 첨가하기 용이 한 모듈구조 · 그래픽 작업이 용이한 간단한 입력과 출력데이터 양식

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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.

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.

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.