IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i4p1089-d139752.html
   My bibliography  Save this article

Study on the Improvement of Expected Energy Savings and Actual Energy Savings in Apartments

Author

Listed:
  • Won-Jun Park

    (Department of Architectural Engineering, Kangwon National University, Jungang-ro, Samcheok-si, Kangwon-do 24341, Korea)

  • Hye-Mi Kim

    (Department of Architectural Engineering, Kangwon National University, Jungang-ro, Samcheok-si, Kangwon-do 24341, Korea)

Abstract

Regulating energy consumption can reduce both greenhouse gas emissions and expenditures. In order to maximize efficiency, appropriate energy protocols for buildings must be devised and implemented. This study examines predicted and real energy savings, the differences between them, and the methods which might reduce these discrepancies. Analyses for 195 high-efficiency apartment units (certified based on the energy efficiency rating system in use in Korea) indicated an average difference of 23% between predicted and real energy savings. This was found to be due to the fact that predictions failed to take variables such as Heating Type, Corridor Type, and Climate into account. By accounting for these factors, an appropriate calculation formula may be established. Using the revised calculation formula to reevaluate the predicted energy savings of 13 apartment units resulted in a reduction of 7% in the aforementioned discrepancy between predicted and real energy savings. Using the proposed formula to predict energy savings in buildings could improve accuracy, thus facilitating the setting of appropriate standards for restrictions on greenhouse gas emissions of buildings.

Suggested Citation

  • Won-Jun Park & Hye-Mi Kim, 2018. "Study on the Improvement of Expected Energy Savings and Actual Energy Savings in Apartments," Sustainability, MDPI, vol. 10(4), pages 1-15, April.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:4:p:1089-:d:139752
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/4/1089/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/4/1089/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Giacomo Salvadori & Fabio Fantozzi & Michele Rocca & Francesco Leccese, 2016. "The Energy Audit Activity Focused on the Lighting Systems in Historical Buildings," Energies, MDPI, vol. 9(12), pages 1-13, November.
    2. Kontokosta, Constantine E. & Tull, Christopher, 2017. "A data-driven predictive model of city-scale energy use in buildings," Applied Energy, Elsevier, vol. 197(C), pages 303-317.
    3. Francesca Pagliaro & Lucia Cellucci & Chiara Burattini & Fabio Bisegna & Franco Gugliermetti & Andrea De Lieto Vollaro & Ferdinando Salata & Iacopo Golasi, 2015. "A Methodological Comparison between Energy and Environmental Performance Evaluation," Sustainability, MDPI, vol. 7(8), pages 1-19, July.
    4. Abu Bakar, Nur Najihah & Hassan, Mohammad Yusri & Abdullah, Hayati & Rahman, Hasimah Abdul & Abdullah, Md Pauzi & Hussin, Faridah & Bandi, Masilah, 2015. "Energy efficiency index as an indicator for measuring building energy performance: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 1-11.
    5. Lin, Jianyi & Cao, Bin & Cui, Shenghui & Wang, Wei & Bai, Xuemei, 2010. "Evaluating the effectiveness of urban energy conservation and GHG mitigation measures: The case of Xiamen city, China," Energy Policy, Elsevier, vol. 38(9), pages 5123-5132, September.
    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. Fabrizio Maria Amoruso & Udo Dietrich & Thorsten Schuetze, 2018. "Development of a Building Information Modeling-Parametric Workflow Based Renovation Strategy for an Exemplary Apartment Building in Seoul, Korea," Sustainability, MDPI, vol. 10(12), pages 1-30, November.

    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. 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).
    2. Azevedo, I. & Leal, V., 2021. "A new model for ex-post quantification of the effects of local actions for climate change mitigation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    3. Leccese, Francesco & Salvadori, Giacomo & Rocca, Michele, 2017. "Critical analysis of the energy performance indicators for road lighting systems in historical towns of central Italy," Energy, Elsevier, vol. 138(C), pages 616-628.
    4. Wu, X.D. & Guo, J.L. & Chen, G.Q., 2018. "The striking amount of carbon emissions by the construction stage of coal-fired power generation system in China," Energy Policy, Elsevier, vol. 117(C), pages 358-369.
    5. Langevin, J. & Reyna, J.L. & Ebrahimigharehbaghi, S. & Sandberg, N. & Fennell, P. & Nägeli, C. & Laverge, J. & Delghust, M. & Mata, É. & Van Hove, M. & Webster, J. & Federico, F. & Jakob, M. & Camaras, 2020. "Developing a common approach for classifying building stock energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    6. Nutkiewicz, Alex & Yang, Zheng & Jain, Rishee K., 2018. "Data-driven Urban Energy Simulation (DUE-S): A framework for integrating engineering simulation and machine learning methods in a multi-scale urban energy modeling workflow," Applied Energy, Elsevier, vol. 225(C), pages 1176-1189.
    7. Xiaofeng Lv & Kun Lin & Lingshan Chen & Yongzhong Zhang, 2022. "Does Retirement Affect Household Energy Consumption Structure? Evidence from a Regression Discontinuity Design," Sustainability, MDPI, vol. 14(19), pages 1-14, September.
    8. Laura Canale & Anna Rita Di Fazio & Mario Russo & Andrea Frattolillo & Marco Dell’Isola, 2021. "An Overview on Functional Integration of Hybrid Renewable Energy Systems in Multi-Energy Buildings," Energies, MDPI, vol. 14(4), pages 1-33, February.
    9. Roth, Jonathan & Martin, Amory & Miller, Clayton & Jain, Rishee K., 2020. "SynCity: Using open data to create a synthetic city of hourly building energy estimates by integrating data-driven and physics-based methods," Applied Energy, Elsevier, vol. 280(C).
    10. 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).
    11. Tao Lin & Yunjun Yu & Xuemei Bai & Ling Feng & Jin Wang, 2013. "Greenhouse Gas Emissions Accounting of Urban Residential Consumption: A Household Survey Based Approach," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-12, February.
    12. Maria Psillaki & Nikolaos Apostolopoulos & Ilias Makris & Panagiotis Liargovas & Sotiris Apostolopoulos & Panos Dimitrakopoulos & George Sklias, 2023. "Hospitals’ Energy Efficiency in the Perspective of Saving Resources and Providing Quality Services through Technological Options: A Systematic Literature Review," Energies, MDPI, vol. 16(2), pages 1-21, January.
    13. Gautham Krishnadas & Aristides Kiprakis, 2020. "A Machine Learning Pipeline for Demand Response Capacity Scheduling," Energies, MDPI, vol. 13(7), pages 1-25, April.
    14. Krzysztof Wąs & Jan Radoń & Agnieszka Sadłowska-Sałęga, 2020. "Maintenance of Passive House Standard in the Light of Long-Term Study on Energy Use in a Prefabricated Lightweight Passive House in Central Europe," Energies, MDPI, vol. 13(11), pages 1-22, June.
    15. Shamsi, Mohammad Haris & Ali, Usman & Mangina, Eleni & O’Donnell, James, 2021. "Feature assessment frameworks to evaluate reduced-order grey-box building energy models," Applied Energy, Elsevier, vol. 298(C).
    16. Monjurul Hasan, A S M & Trianni, Andrea & Shukla, Nagesh & Katic, Mile, 2022. "A novel characterization based framework to incorporate industrial energy management services," Applied Energy, Elsevier, vol. 313(C).
    17. Xi, Fengming & Geng, Yong & Chen, Xudong & Zhang, Yunsong & Wang, Xinbei & Xue, Bing & Dong, Huijuan & Liu, Zhu & Ren, Wanxia & Fujita, Tsuyoshi & Zhu, Qinghua, 2011. "Contributing to local policy making on GHG emission reduction through inventorying and attribution: A case study of Shenyang, China," Energy Policy, Elsevier, vol. 39(10), pages 5999-6010, October.
    18. AlSabbagh, Maha & Siu, Yim Ling & Guehnemann, Astrid & Barrett, John, 2017. "Integrated approach to the assessment of CO2e-mitigation measures for the road passenger transport sector in Bahrain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 203-215.
    19. Abbasabadi, Narjes & Ashayeri, Mehdi & Azari, Rahman & Stephens, Brent & Heidarinejad, Mohammad, 2019. "An integrated data-driven framework for urban energy use modeling (UEUM)," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    20. Ye, Zhongnan & Cheng, Kuangly & Hsu, Shu-Chien & Wei, Hsi-Hsien & Cheung, Clara Man, 2021. "Identifying critical building-oriented features in city-block-level building energy consumption: A data-driven machine learning approach," Applied Energy, Elsevier, vol. 301(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:jsusta:v:10:y:2018:i:4:p:1089-:d:139752. 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.