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An integrated multi-objective optimization model for establishing the low-carbon scenario 2020 to achieve the national carbon emissions reduction target for residential buildings

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  • Koo, Choongwan
  • Hong, Taehoon
  • Kim, Jimin
  • Kim, Hyunjoong

Abstract

This study aimed to develop an integrated multi-objective optimization (iMOO) model for establishing the low-carbon scenario 2020 to achieve the national carbon emissions reduction target (CERT) (27.0%) for South Korea׳s residential building sector. This study was conducted in six steps: (i) analysis on the energy consumption patterns of the multi-family housing complexes (MFHCs) by cluster; (ii) establishment of the energy retrofit models for the target MFHC through energy simulation; (iii) scale conversion from the target MFHC to the standard MFHCs by cluster; (iv) life-cycle economic and environmental assessment on the energy retrofit models of the standard MFHCs by cluster; (v) trend analysis of the energy saving effects for the energy retrofit models of the standard MFHCs by cluster; and (vi) establishment of the low-carbon scenario 2020 for achieving the national CERT by using an iMOO model. The results showed that if the optimal low-carbon scenario 2020 is to be implemented as of 2012, the energy-saving effect as of 2020 would be 27.20%. This was determined as follows: (i) the initial investment cost was $1,410,252, 102.5% of the optimized value (optimization goal A); (ii) NPV40 (net present value at year 40) was $18,954,210, 71.9% of the optimized value (optimization goal B); and (iii) SIR40 (saving to investment ratio at year 40) was 5.03, 74.2% of the optimized value (optimization goal C). The proposed model may be useful for policymakers in determining the optimal low-carbon scenario 2020 for achieving the national CERT under the budget limits, from the macro perspective.

Suggested Citation

  • Koo, Choongwan & Hong, Taehoon & Kim, Jimin & Kim, Hyunjoong, 2015. "An integrated multi-objective optimization model for establishing the low-carbon scenario 2020 to achieve the national carbon emissions reduction target for residential buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 410-425.
    • Handle: RePEc:eee:rensus:v:49:y:2015:i:c:p:410-425
    DOI: 10.1016/j.rser.2015.04.120
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    References listed on IDEAS

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    1. Hong, Taehoon & Koo, Choongwan & Kim, Hyunjoong & Seon Park, Hyo, 2014. "Decision support model for establishing the optimal energy retrofit strategy for existing multi-family housing complexes," Energy Policy, Elsevier, vol. 66(C), pages 157-169.
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    15. Koo, Choongwan & Hong, Taehoon & Lee, Minhyun & Seon Park, Hyo, 2014. "Development of a new energy efficiency rating system for existing residential buildings," Energy Policy, Elsevier, vol. 68(C), pages 218-231.
    16. Hong, Taehoon & Koo, Choongwan & Jeong, Kwangbok, 2012. "A decision support model for reducing electric energy consumption in elementary school facilities," Applied Energy, Elsevier, vol. 95(C), pages 253-266.
    17. Hong, Taehoon & Koo, Choongwan & Kwak, Taehyun & Park, Hyo Seon, 2014. "An economic and environmental assessment for selecting the optimum new renewable energy system for educational facility," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 286-300.
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    19. Daeho Kim & Jimin Kim & Choongwan Koo & Taehoon Hong, 2014. "An Economic and Environmental Assessment Model for Selecting the Optimal Implementation Strategy of Fuel Cell Systems—A Focus on Building Energy Policy," Energies, MDPI, vol. 7(8), pages 1-22, August.
    20. Hong, Taehoon & Koo, Choongwan & Kim, Daeho & Lee, Minhyun & Kim, Jimin, 2015. "An estimation methodology for the dynamic operational rating of a new residential building using the advanced case-based reasoning and stochastic approaches," Applied Energy, Elsevier, vol. 150(C), pages 308-322.
    21. Taehoon Hong & Jimin Kim & Juyoung Lee & Choongwan Koo & Hyo Seon Park, 2013. "Assessment of Seasonal Energy Efficiency Strategies of a Double Skin Façade in a Monsoon Climate Region," Energies, MDPI, vol. 6(9), pages 1-25, August.
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    3. David Pálenský & Antonín Lupíšek, 2019. "Carbon Benchmark for Czech Residential Buildings Based on Climate Goals Set by the Paris Agreement for 2030," Sustainability, MDPI, vol. 11(21), pages 1-13, November.
    4. Gert van Wyk & Vinessa Naidoo & E. Innocents Edoun, 2021. "Guiding Principles for Establishing Energy Consumption Reduction and Increase Production Performance in Manufacturing," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 502-515.
    5. Li, Guohao & Chen, Xue & You, Xue-yi, 2023. "System dynamics prediction and development path optimization of regional carbon emissions: A case study of Tianjin," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    6. Seo-Hoon Kim & SungJin Lee & Seol-Yee Han & Jong-Hun Kim, 2020. "Scenario Analysis for GHG Emission Reduction Potential of the Building Sector for New City in South Korea," Energies, MDPI, vol. 13(20), pages 1-19, October.
    7. Minjeong Sim & Dongjun Suh & Marc-Oliver Otto, 2021. "Multi-Objective Particle Swarm Optimization-Based Decision Support Model for Integrating Renewable Energy Systems in a Korean Campus Building," Sustainability, MDPI, vol. 13(15), pages 1-18, August.
    8. Kim, Hakpyeong & Hong, Taehoon, 2020. "Determining the optimal set-point temperature considering both labor productivity and energy saving in an office building," Applied Energy, Elsevier, vol. 276(C).
    9. Jeong, Jaewook & Hong, Taehoon & Ji, Changyoon & Kim, Jimin & Lee, Minhyun & Jeong, Kwangbok & Koo, Choongwan, 2017. "Development of a prediction model for the cost saving potentials in implementing the building energy efficiency rating certification," Applied Energy, Elsevier, vol. 189(C), pages 257-270.
    10. Kim, Jimin & Hong, Taehoon & Jeong, Jaemin & Lee, Myeonghwi & Lee, Minhyun & Jeong, Kwangbok & Koo, Choongwan & Jeong, Jaewook, 2017. "Establishment of an optimal occupant behavior considering the energy consumption and indoor environmental quality by region," Applied Energy, Elsevier, vol. 204(C), pages 1431-1443.
    11. Hong, Taehoon & Kim, Jimin & Lee, Myeonghwi, 2018. "Integrated task performance score for the building occupants based on the CO2 concentration and indoor climate factors changes," Applied Energy, Elsevier, vol. 228(C), pages 1707-1713.
    12. Ferrara, Maria & Rolfo, Andrea & Prunotto, Federico & Fabrizio, Enrico, 2019. "EDeSSOpt – Energy Demand and Supply Simultaneous Optimization for cost-optimized design: Application to a multi-family building," Applied Energy, Elsevier, vol. 236(C), pages 1231-1248.
    13. Hong, Taehoon & Kim, Jimin & Lee, Minhyun, 2019. "A multi-objective optimization model for determining the building design and occupant behaviors based on energy, economic, and environmental performance," Energy, Elsevier, vol. 174(C), pages 823-834.
    14. Yoo, Hyunji & Hong, Taehoon & Jeong, Kwangbok & Ji, Changyoon, 2018. "Estimation of the optimal government rebate for promoting the photovoltaic system in multi-family housing complexes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 720-728.

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