IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i6p1114-d216227.html
   My bibliography  Save this article

Energy Analysis of 4625 Office Buildings in South Korea

Author

Listed:
  • Ki Uhn Ahn

    (Institute of Engineering Research, Seoul National University, Seoul 08826, South Korea)

  • Han Sol Shin

    (Department of Architecture and Architectural Engineering, College of Engineering, Seoul National University, Seoul 08826, South Korea)

  • Cheol Soo Park

    (Department of Architecture and Architectural Engineering, Institute of Construction and Environmental Engineering, Institute of Engineering Research, College of Engineering, Seoul National University, Seoul 08826, South Korea)

Abstract

The purpose of the present study was to investigate the relevance of building thermal performance and characteristics to building energy consumption. This paper reports an energy analysis of 4625 office buildings in Seoul, South Korea, using data from the Korean national building energy database and architectural database. The following four research questions were investigated: (1) Do old buildings consume more energy than new ones? (2) Have strict prescriptive building energy codes contributed to the reduction in energy use intensity (EUI, kWh/m 2 ·year) over the past several decades? (3) What are the characteristics of building energy consumption in terms of season, age, and cooling system (electric chiller vs absorption chiller)? (4) Which factors in the Korean building energy database are relevant to building energy consumption? The analyses revealed that, contrary to common assumptions, new buildings did not always consume less energy than old buildings, and it may be wrong to attribute intensification of prescriptive building energy codes directly to building energy efficiency improvements. In addition, the building characteristics (i.e., district, year built, number of floors, number of elevators, and total floor area) available in the Korean building energy database do not adequately explain building energy consumption, and the existing data collection method needs further improvement.

Suggested Citation

  • Ki Uhn Ahn & Han Sol Shin & Cheol Soo Park, 2019. "Energy Analysis of 4625 Office Buildings in South Korea," Energies, MDPI, vol. 12(6), pages 1-16, March.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:6:p:1114-:d:216227
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/6/1114/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/6/1114/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liu, Wenling & Zhang, Jinyun & Bluemling, Bettina & Mol, Arthur P.J. & Wang, Can, 2015. "Public participation in energy saving retrofitting of residential buildings in China," Applied Energy, Elsevier, vol. 147(C), pages 287-296.
    2. Wu, Zhou & Wang, Bo & Xia, Xiaohua, 2016. "Large-scale building energy efficiency retrofit: Concept, model and control," Energy, Elsevier, vol. 109(C), pages 456-465.
    3. Duk Joon Park & Ki Hyung Yu & Yong Sang Yoon & Kee Han Kim & Sun Sook Kim, 2015. "Analysis of a Building Energy Efficiency Certification System in Korea," Sustainability, MDPI, vol. 7(12), pages 1-22, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ji, Changyoon & Hong, Taehoon & Kim, Hakpyeong, 2022. "Statistical analysis of greenhouse gas emissions of South Korean residential buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    2. Job Taminiau & John Byrne & Jongkyu Kim & Min‐Hwi Kim & Jeongseok Seo, 2022. "Inferential‐ and measurement‐based methods to estimate rooftop “solar city” potential in megacity Seoul, South Korea," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 11(5), September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Handing Guo & Wanzhen Qiao & Jiren Liu, 2019. "Dynamic Feedback Analysis of Influencing Factors of Existing Building Energy-Saving Renovation Market Based on System Dynamics in China," Sustainability, MDPI, vol. 11(1), pages 1-16, January.
    2. Mustaffa, Nur Kamaliah & Kudus, Sakhiah Abdul, 2022. "Challenges and way forward towards best practices of energy efficient building in Malaysia," Energy, Elsevier, vol. 259(C).
    3. Alexander Adeyemi Fakere & Clement Oluwole Folorunso & Olatunde Arayela & Felix Kayode Omole, 2020. "Strategic framework for resident’s participation in housing provision in Akure, Southwest Nigeria," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 6(2), pages 137-160, October.
    4. Shengyuan Guo & Wanjiang Wang & Yihuan Zhou, 2022. "Research on Energy Saving and Economy of Old Buildings Based on Parametric Design: A Case Study of a Hospital in Linyi City, Shandong Province," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    5. Dodoo, Ambrose & Gustavsson, Leif & Tettey, Uniben Y.A., 2017. "Final energy savings and cost-effectiveness of deep energy renovation of a multi-storey residential building," Energy, Elsevier, vol. 135(C), pages 563-576.
    6. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    7. Thrampoulidis, Emmanouil & Mavromatidis, Georgios & Lucchi, Aurelien & Orehounig, Kristina, 2021. "A machine learning-based surrogate model to approximate optimal building retrofit solutions," Applied Energy, Elsevier, vol. 281(C).
    8. Ayikoe Tettey, Uniben Yao & Gustavsson, Leif, 2020. "Energy savings and overheating risk of deep energy renovation of a multi-storey residential building in a cold climate under climate change," Energy, Elsevier, vol. 202(C).
    9. Min-Suk Jo & Jang-Hoon Shin & Won-Jun Kim & Jae-Weon Jeong, 2017. "Energy-Saving Benefits of Adiabatic Humidification in the Air Conditioning Systems of Semiconductor Cleanrooms," Energies, MDPI, vol. 10(11), pages 1-23, November.
    10. Jia, Jun-Jun & Xu, Jin-Hua & Fan, Ying, 2018. "Public acceptance of household energy-saving measures in Beijing: Heterogeneous preferences and policy implications," Energy Policy, Elsevier, vol. 113(C), pages 487-499.
    11. Yeweon Kim & Ki-Hyung Yu, 2018. "Study on Policy Marking of Passive Level Insulation Standards for Non-Residential Buildings in South Korea," Sustainability, MDPI, vol. 10(7), pages 1-16, July.
    12. Francesco Mancini & Gianluigi Lo Basso & Livio de Santoli, 2019. "Energy Use in Residential Buildings: Impact of Building Automation Control Systems on Energy Performance and Flexibility," Energies, MDPI, vol. 12(15), pages 1-21, July.
    13. Yupei Lai & Yutong Li & Xinyi Feng & Tao Ma, 2022. "Green retrofit of existing residential buildings in China: An investigation on residents’ perceptions," Energy & Environment, , vol. 33(2), pages 332-353, March.
    14. Yinan Li & Neng Zhu & Beibei Qin, 2019. "Target Setting Outlook for New Residential Building Energy Efficiency Promotion in China: A Frontline Perspective Using Delphi," Energies, MDPI, vol. 12(9), pages 1-29, April.
    15. Weihao Huang & Qifan Xu, 2024. "Sustainable-Driven Renovation of Existing Residential Buildings in China: A Systematic Exploration Based on Review and Solution Approaches," Sustainability, MDPI, vol. 16(10), pages 1-35, May.
    16. Craig, Christopher A., 2016. "Energy consumption, energy efficiency, and consumer perceptions: A case study for the Southeast United States," Applied Energy, Elsevier, vol. 165(C), pages 660-669.
    17. Wenqing Zhang & Biao Luo, 2023. "Predicting consumer intention toward eco-friendly smart home services: extending the theory of planned behavior," Economic Change and Restructuring, Springer, vol. 56(5), pages 3335-3352, October.
    18. Lešnik, Maja & Premrov, Miroslav & Žegarac Leskovar, Vesna, 2018. "Design parameters of the timber-glass upgrade module and the existing building: Impact on the energy-efficient refurbishment process," Energy, Elsevier, vol. 162(C), pages 1125-1138.
    19. Jiefang Ma & Queena Kun Qian & Henk Visscher & Kun Song, 2021. "Homeowners’ Participation in Energy Efficient Renovation Projects in China’s Northern Heating Region," Sustainability, MDPI, vol. 13(16), pages 1-37, August.
    20. Ceballos-Fuentealba, Irlanda & Álvarez-Miranda, Eduardo & Torres-Fuchslocher, Carlos & del Campo-Hitschfeld, María Luisa & Díaz-Guerrero, John, 2019. "A simulation and optimisation methodology for choosing energy efficiency measures in non-residential buildings," Applied Energy, Elsevier, vol. 256(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:6:p:1114-:d:216227. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.