저밀 집합 주거단지의 실측자료에 기반한 용도별 에너지 사용량 분석 연구
Analysis of Energy Consumption By End-Use Based on Measurement Data of Low-Density Multi-Family Housing Complex
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초록
Although building energy analysis tools, such as ECO2, are essential for architects and building engineers for energy performance analysis, these tools do not consider various load patterns, including plug loads, for determining the certification level for domestic zero energy. However, in reality, various load patterns can occur, and significant plug loads can be used in buildings. Therefore, in this study, we conducted a detailed analysis of the annual energy consumption of 60 households based on their end-use energy consumption to capture various demand trends in a low-density, multi-family housing complex. While all residential buildings in the complex were of the same size, they showed different occupancy patterns. Based on the actual measurement data, the energy consumed by each energy component through activities such as heating, cooling, hot water supply, ventilation, lighting, and plug load, was analyzed in detail, and threerepresentative load patterns were investigated by calculating the maximum, heavy, and lightloads. Furthermore, the estimated energy independence rate was calculated based on theexistence of the plug loads of the three representative load patterns.
Abstract
Although building energy analysis tools, such as ECO2, are essential for architects and building engineers for energy performance analysis, these tools do not consider various load patterns, including plug loads, for determining the certification level for domestic zero energy. However, in reality, various load patterns can occur, and significant plug loads can be used in buildings. Therefore, in this study, we conducted a detailed analysis of the annual energy consumption of 60 households based on their end-use energy consumption to capture various demand trends in a low-density, multi-family housing complex. While all residential buildings in the complex were of the same size, they showed different occupancy patterns. Based on the actual measurement data, the energy consumed by each energy component through activities such as heating, cooling, hot water supply, ventilation, lighting, and plug load, was analyzed in detail, and threerepresentative load patterns were investigated by calculating the maximum, heavy, and lightloads. Furthermore, the estimated energy independence rate was calculated based on theexistence of the plug loads of the three representative load patterns.
참고문헌 (12)
- Kwak, Y. H., "An Analysis of the Effectiveness of Greenhouse Gas Reduction Policy for Office Building Design in South Korea", Sustainability, 11(24), pp.1~25 (2019)
- The 2nd Green Building Basic Plan (2020-2024), "MOLIT", ~ (2019)
- Wu, W., "A Novel Mobility-based Approach to Derive Urban-scale Building Occupant Profiles and Analyze Impacts on Building Energy Consumption", Appl. Energy, 278, pp.115656~ (2020)
- Ahn, K. U., "Predictability of Occupant Presence and Performance Gap in Building Energy Simulation", Appl. Energy, 208, pp.1639~1652 (2017)
- Gucyeter, B., "Evaluating Diverse Patterns of Occupant Behavior Regarding Control-based Activities in Energy Performance Simulation", Front. Archit. Res., 7(2), pp.167~179 (2018)
- Blight T. S., "Sensitivity Analysis of the Effect of Occupant Behaviour on the Energy Consumption of Passive House Dwellings", Energy Build, 66, pp.183~192 (2013)
- Li, X., "A Machine-learning-based Approach to Predict Residential Annual Space Heating and Cooling Loads Considering Occupant Behaviour", Energy, 212, pp.118676~ (2020)
- Mokhtari, R., "The Effect of Occupant Distribution on Energy Consumption and COVID-19 Infection in Buildings: A Case Study of University Building", Build. Environ., 190, pp.107561~ (2021)
- Doherty, B., "Device-level Plug Load Disaggregation in a Zero Energy Office Building and Opportunities for Energy Savings", Energy Build, 204, pp.109480~ (2019)
- Jenkins, C., "Effective Management of Plug Loads in Commercial Buildings with Occupant Engagement and Centralized Controls", Energy Build, 201, pp.194~201 (2019)
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