IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i9p1626-d226861.html
   My bibliography  Save this article

Development of an Energy Saving Strategy Model for Retrofitting Existing Buildings: A Korean Case Study

Author

Listed:
  • Kwonsik Song

    (Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI 48109, USA)

  • Yonghan Ahn

    (Department of Architectural Engineering, Hanyang University, Ansan 15588, Korea)

  • Joseph Ahn

    (Division of Architecture, Civil and Environmental Engineering, Hoseo University, Asan 31499, Korea)

  • Nahyun Kwon

    (Department of Architectural Engineering, Hanyang University, Ansan 15588, Korea)

Abstract

The building sector accounts for approximately 40% of national energy consumption, contributing to the environmental crisis of global warming. Using energy saving measures (e.g., improved thermal insulation, highly energy-efficient electrical and mechanical systems) provides opportunities to reduce energy consumption in existing buildings. Furthermore, if the life cycle cost (i.e., installation, operation and maintenance cost) of the measures is considered with their energy saving potential, it is possible to establish a cost-effective energy retrofit plan. Therefore, this research develops an energy saving strategy model considering its saving potential and life cycle cost of the measures for reducing energy consumption in existing buildings. To test the validity of the proposed model, a case study is carried out on an educational facility in South Korea, in response to its overconsumption of energy. The results demonstrate that in terms of energy saving and life cycle cost, the optimal energy retrofit plan is more cost-effective than the existing plan. Also, the break-even point for the optimal energy retrofit plan is within five years, and then revenue from energy saving continually occurs until 2052. For energy retrofit of existing buildings, using the proposed model would enable building owners to maximize energy savings while minimizing the life cycle cost.

Suggested Citation

  • Kwonsik Song & Yonghan Ahn & Joseph Ahn & Nahyun Kwon, 2019. "Development of an Energy Saving Strategy Model for Retrofitting Existing Buildings: A Korean Case Study," Energies, MDPI, vol. 12(9), pages 1-17, April.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:9:p:1626-:d:226861
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/9/1626/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/9/1626/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Oldewurtel, Frauke & Sturzenegger, David & Morari, Manfred, 2013. "Importance of occupancy information for building climate control," Applied Energy, Elsevier, vol. 101(C), pages 521-532.
    2. Sanghyo Lee & Yonghan Ahn, 2018. "Analyzing the Long-Term Service Life of MEP Using the Probabilistic Approach in Residential Buildings," Sustainability, MDPI, vol. 10(10), pages 1-15, October.
    3. Yang, Liu & Yan, Haiyan & Lam, Joseph C., 2014. "Thermal comfort and building energy consumption implications – A review," Applied Energy, Elsevier, vol. 115(C), pages 164-173.
    4. Soyeon Park & Yonghan Ahn & Sanghyo Lee, 2018. "Analyzing the Finishing Works Service Life Pattern of Public Housing in South Korea by Probabilistic Approach," Sustainability, MDPI, vol. 10(12), pages 1-15, November.
    5. Liane Thuvander & Paula Femenías & Kristina Mjörnell & Pär Meiling, 2012. "Unveiling the Process of Sustainable Renovation," Sustainability, MDPI, vol. 4(6), pages 1-26, June.
    6. Song, Kwonsik & Kim, Sooyoung & Park, Moonseo & Lee, Hyun-Soo, 2017. "Energy efficiency-based course timetabling for university buildings," Energy, Elsevier, vol. 139(C), pages 394-405.
    7. Lu Aye & Nick Bamford & Bill Charters & Jon Robinson, 2000. "Environmentally sustainable development: a life-cycle costing approach for a commercial office building in Melbourne, Australia," Construction Management and Economics, Taylor & Francis Journals, vol. 18(8), pages 927-934.
    8. Helena Nydahl & Staffan Andersson & Anders P. Åstrand & Thomas Olofsson, 2019. "Environmental Performance Measures to Assess Building Refurbishment from a Life Cycle Perspective," Energies, MDPI, vol. 12(2), pages 1-16, January.
    9. Ricardo Ramírez-Villegas & Ola Eriksson & Thomas Olofsson, 2019. "Life Cycle Assessment of Building Renovation Measures–Trade-off between Building Materials and Energy," Energies, MDPI, vol. 12(3), pages 1-15, January.
    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 M. Amoruso & Min-Hee Sonn & Soyeon Chu & Thorsten Schuetze, 2021. "Sustainable Building Legislation and Incentives in Korea: A Case-Study-Based Comparison of Building New and Renovation," Sustainability, MDPI, vol. 13(9), pages 1-41, April.
    2. Souleymane Daniel & Christian Ghiaus, 2023. "Multi-Criteria Decision Analysis for Energy Retrofit of Residential Buildings: Methodology and Feedback from Real Application," Energies, MDPI, vol. 16(2), pages 1-31, January.

    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. Song, Kwonsik & Jang, Youjin & Park, Moonseo & Lee, Hyun-Soo & Ahn, Joseph, 2020. "Energy efficiency of end-user groups for personalized HVAC control in multi-zone buildings," Energy, Elsevier, vol. 206(C).
    2. Amin, Amin & Mourshed, Monjur, 2024. "Community stochastic domestic electricity forecasting," Applied Energy, Elsevier, vol. 355(C).
    3. Amin, Amin & Mourshed, Monjur, 2024. "Weather and climate data for energy applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    4. Baldi, Simone & Korkas, Christos D. & Lv, Maolong & Kosmatopoulos, Elias B., 2018. "Automating occupant-building interaction via smart zoning of thermostatic loads: A switched self-tuning approach," Applied Energy, Elsevier, vol. 231(C), pages 1246-1258.
    5. Moonsun Park & Nahyun Kwon & Joosung Lee & Sanghyo Lee & Yonghan Ahn, 2019. "Probabilistic Maintenance Cost Analysis for Aged Multi-Family Housing," Sustainability, MDPI, vol. 11(7), pages 1-13, March.
    6. Sojin Park & Nahyun Kwon & Yonghan Ahn, 2019. "Forecasting Repair Schedule for Building Components Based on Case-Based Reasoning and Fuzzy-AHP," Sustainability, MDPI, vol. 11(24), pages 1-17, December.
    7. Baldi, Simone & Yuan, Shuai & Endel, Petr & Holub, Ondrej, 2016. "Dual estimation: Constructing building energy models from data sampled at low rate," Applied Energy, Elsevier, vol. 169(C), pages 81-92.
    8. Paulína Šujanová & Monika Rychtáriková & Tiago Sotto Mayor & Affan Hyder, 2019. "A Healthy, Energy-Efficient and Comfortable Indoor Environment, a Review," Energies, MDPI, vol. 12(8), pages 1-37, April.
    9. Yong-Sik Yoon & Yong-Han Ahn & Xiao-Yong Wang & Seung-Jun Kwon, 2021. "Total Repair Cost Simulation Considering Multiple Probabilistic Measures and Service Life," Sustainability, MDPI, vol. 13(4), pages 1-15, February.
    10. Nahyun Kwon & Kwonsik Song & Moonseo Park & Youjin Jang & Inseok Yoon & Yonghan Ahn, 2019. "Preliminary Service Life Estimation Model for MEP Components Using Case-Based Reasoning and Genetic Algorithm," Sustainability, MDPI, vol. 11(11), pages 1-17, May.
    11. Gencel, Osman & Danish, Aamar & Yilmaz, Mukremin & Erdogmus, Ertugrul & Sutcu, Mucahit & Sadak, Ferhat & Ozbakkaloglu, Togay, 2024. "Performance evaluation of phosphor-based luminescent bricks using different coating methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    12. Korkas, Christos D. & Baldi, Simone & Michailidis, Iakovos & Kosmatopoulos, Elias B., 2016. "Occupancy-based demand response and thermal comfort optimization in microgrids with renewable energy sources and energy storage," Applied Energy, Elsevier, vol. 163(C), pages 93-104.
    13. Carolina Rodriguez & María Coronado & Marta D’Alessandro & Juan Medina, 2019. "The Importance of Standardised Data-Collection Methods in the Improvement of Thermal Comfort Assessment Models for Developing Countries in the Tropics," Sustainability, MDPI, vol. 11(15), pages 1-22, August.
    14. Yang, Haiyue & Wang, Yazhou & Yu, Qianqian & Cao, Guoliang & Yang, Rue & Ke, Jiaona & Di, Xin & Liu, Feng & Zhang, Wenbo & Wang, Chengyu, 2018. "Composite phase change materials with good reversible thermochromic ability in delignified wood substrate for thermal energy storage," Applied Energy, Elsevier, vol. 212(C), pages 455-464.
    15. Anna Życzyńska & Dariusz Majerek & Zbigniew Suchorab & Agnieszka Żelazna & Václav Kočí & Robert Černý, 2021. "Improving the Energy Performance of Public Buildings Equipped with Individual Gas Boilers Due to Thermal Retrofitting," Energies, MDPI, vol. 14(6), pages 1-19, March.
    16. Ebrahim Morady & Madjid Soltani & Farshad Moradi Kashkooli & Masoud Ziabasharhagh & Armughan Al-Haq & Jatin Nathwani, 2022. "Improving Energy Efficiency by Utilizing Wetted Cellulose Pads in Passive Cooling Systems," Energies, MDPI, vol. 15(1), pages 1-17, January.
    17. Hinker, Jonas & Hemkendreis, Christian & Drewing, Emily & März, Steven & Hidalgo Rodríguez, Diego I. & Myrzik, Johanna M.A., 2017. "A novel conceptual model facilitating the derivation of agent-based models for analyzing socio-technical optimality gaps in the energy domain," Energy, Elsevier, vol. 137(C), pages 1219-1230.
    18. Yan, Huaxia & Pan, Yan & Li, Zhao & Deng, Shiming, 2018. "Further development of a thermal comfort based fuzzy logic controller for a direct expansion air conditioning system," Applied Energy, Elsevier, vol. 219(C), pages 312-324.
    19. Zhao, Jing & Yang, Zilan & Shi, Linyu & Liu, Dehan & Li, Haonan & Mi, Yumiao & Wang, Hongbin & Feng, Meili & Hutagaol, Timothy Joseph, 2024. "Photovoltaic capacity dynamic tracking model predictive control strategy of air-conditioning systems with consideration of flexible loads," Applied Energy, Elsevier, vol. 356(C).
    20. Cui, Can & Zhang, Xin & Cai, Wenjian, 2020. "An energy-saving oriented air balancing method for demand controlled ventilation systems with branch and black-box model," Applied Energy, Elsevier, vol. 264(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:9:p:1626-:d:226861. 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.