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Energy Performance Assessment According to Data Acquisition Levels of Existing Buildings

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  • Kyung Hwa Cho

    (Department of Architecture, Ajou University, Suwon 443-749, Korea)

  • Sun Sook Kim

    (Department of Architecture, Ajou University, Suwon 443-749, Korea)

Abstract

Existing buildings are likely to consume more energy and emit more greenhouse gases than new buildings because of inevitable deteriorations in physical performance. Accordingly, retrofitting of existing buildings is considered essential to reduce energy consumption and greenhouse gas emissions from the building sector. However, assessing the energy performance of existing buildings accurately has limitations because building materials undergo physical deterioration and the actual operational conditions differ from as-built documentation. There is also a difference in the level of data acquisition required for building energy performance assessment depending on the conditions of the building. The aim of this paper is to present types of methods for energy performance assessment of existing buildings considering this data acquisition level. We analyzed various assessment methods, which were classified into three prototypes of methods according to the required level of data acquisition. Type 1 assessed the target building based on literature sources. Type 2 conducted on-site audit and assessed the target building based on additional collected data. Type 3 assessed the target building by further estimating the building properties through analysis of the measured energy data. The applicability of the proposed methods were demonstrated using case studies of three buildings located in Seoul, South Korea.

Suggested Citation

  • Kyung Hwa Cho & Sun Sook Kim, 2019. "Energy Performance Assessment According to Data Acquisition Levels of Existing Buildings," Energies, MDPI, vol. 12(6), pages 1-17, March.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:6:p:1149-:d:216870
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    References listed on IDEAS

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    3. Hye Gi Kim & Sun Sook Kim, 2020. "Development of Energy Benchmarks for Office Buildings Using the National Energy Consumption Database," Energies, MDPI, vol. 13(4), pages 1-18, February.
    4. Anna Życzyńska & Zbigniew Suchorab & Jan Kočí & Robert Černý, 2020. "Energy Effects of Retrofitting the Educational Facilities Located in South-Eastern Poland," Energies, MDPI, vol. 13(10), pages 1-16, May.
    5. Stefano Converso & Paolo Civiero & Stefano Ciprigno & Ivana Veselinova & Saffa Riffat, 2023. "Toward a Fast but Reliable Energy Performance Evaluation Method for Existing Residential Building Stock," Energies, MDPI, vol. 16(9), pages 1-24, May.
    6. Miłosz Raczyński & Radosław Rutkowski, 2020. "How Pro-Environmental Legal Regulations Affect the Design Process and Management of Multi-Family Residential Buildings in Poland," Energies, MDPI, vol. 13(20), pages 1-23, October.

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