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Framework for the analysis of the low-carbon scenario 2020 to achieve the national carbon Emissions reduction target: Focused on educational facilities

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

Abstract

Since the increase in greenhouse gas emissions has increased the global warming potential, an international agreement on carbon emissions reduction target (CERT) has been formulated in Kyoto Protocol (1997). This study aimed to develop a framework for the analysis of the low-carbon scenario 2020 to achieve the national CERT. To verify the feasibility of the proposed framework, educational facilities were used for a case study. This study was conducted in six steps: (i) selection of the target school; (ii) establishment of the reference model for the target school; (iii) energy consumption pattern analysis by target school; (iv) establishment of the energy retrofit model for the target school; (v) economic and environmental assessment through the life cycle cost and life cycle CO2 analysis; and (vi) establishment of the low-carbon scenario in 2020 to achieve the national CERT. This study can help facility managers or policymakers establish the optimal retrofit strategy within the limited budget from a short-term perspective and the low-carbon scenario 2020 to achieve the national CERT from the long-term perspective. The proposed framework could be also applied to any other building type or country in the global environment.

Suggested Citation

  • Koo, Choongwan & Kim, Hyunjoong & Hong, Taehoon, 2014. "Framework for the analysis of the low-carbon scenario 2020 to achieve the national carbon Emissions reduction target: Focused on educational facilities," Energy Policy, Elsevier, vol. 73(C), pages 356-367.
    • Handle: RePEc:eee:enepol:v:73:y:2014:i:c:p:356-367
    DOI: 10.1016/j.enpol.2014.05.009
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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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    Cited by:

    1. Xiaoyu Luo & Cong Ma & Jian Ge, 2020. "Evaluation Model and Strategy for Selecting Carbon Reduction Technology for Campus Buildings in Primary and Middle Schools in the Yangtze River Delta Region, China," Sustainability, MDPI, vol. 12(2), pages 1-16, January.
    2. Guo, Jian-Xin & Zhu, Kaiwei & Tan, Xianchun & Gu, Baihe, 2021. "Low-carbon technology development under multiple adoption risks," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    3. Hong, Taehoon & Jeong, Kwangbok & Koo, Choongwan, 2018. "An optimized gene expression programming model for forecasting the national CO2 emissions in 2030 using the metaheuristic algorithms," Applied Energy, Elsevier, vol. 228(C), pages 808-820.
    4. Koo, Choongwan & Hong, Taehoon & Jeong, Kwangbok & Ban, Cheolwoo & Oh, Jeongyoon, 2017. "Development of the smart photovoltaic system blind and its impact on net-zero energy solar buildings using technical-economic-political analyses," Energy, Elsevier, vol. 124(C), pages 382-396.
    5. Koo, Choongwan & Hong, Taehoon, 2015. "Development of a dynamic operational rating system in energy performance certificates for existing buildings: Geostatistical approach and data-mining technique," Applied Energy, Elsevier, vol. 154(C), pages 254-270.
    6. 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.
    7. Portia Odell & Vanessa Rauland & Karen Murcia, 2020. "Schools: An Untapped Opportunity for a Carbon Neutral Future," Sustainability, MDPI, vol. 13(1), pages 1-24, December.
    8. Park, Hyo Seon & Koo, Choongwan & Hong, Taehoon & Oh, Jeongyoon & Jeong, Kwangbok, 2016. "A finite element model for estimating the techno-economic performance of the building-integrated photovoltaic blind," Applied Energy, Elsevier, vol. 179(C), pages 211-227.
    9. Jeong, Jaewook & Hong, Taehoon & Ji, Changyoon & Kim, Jimin & Lee, Minhyun & Jeong, Kwangbok, 2016. "Development of an integrated energy benchmark for a multi-family housing complex using district heating," Applied Energy, Elsevier, vol. 179(C), pages 1048-1061.

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