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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
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    References listed on IDEAS

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    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Liane Thuvander & Paula Femenías & Kristina Mjörnell & Pär Meiling, 2012. "Unveiling the Process of Sustainable Renovation," Sustainability, MDPI, vol. 4(6), pages 1-26, June.
    9. 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.
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    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.

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