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Benchmarks as a tool for free allocation through comparison with similar projects: Focused on multi-family housing complex

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  • Hong, Taehoon
  • Koo, Choongwan
  • Lee, Sungug

Abstract

A multilateral effort to reduce greenhouse gas (GHG) emissions has been implemented around the world. In particular, the Emissions Trading Scheme (ETS) emerged as a market-based approach used to control GHG emissions by providing carbon credits (or allowances). One of the most controversial issues in the ETS is the question of how the allowances will be distributed. Therefore, this research aimed to develop a decision support model for establishing benchmarks as a tool for free allocation in the construction industry. It can be used in the pre-design phase to estimate the amount of allowances in a given construction site. In this study, a total of 147 types of data on the reinforced concrete frame in multi-family housing projects in South Korea were collected and used to develop the advanced Case-Based Reasoning (CBR), which can be used to establish benchmarks as a tool for free allocation.

Suggested Citation

  • Hong, Taehoon & Koo, Choongwan & Lee, Sungug, 2014. "Benchmarks as a tool for free allocation through comparison with similar projects: Focused on multi-family housing complex," Applied Energy, Elsevier, vol. 114(C), pages 663-675.
    • Handle: RePEc:eee:appene:v:114:y:2014:i:c:p:663-675
    DOI: 10.1016/j.apenergy.2013.10.035
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    9. Huang, Hai & Roland-Holst, David & Springer, Cecilia & Lin, Jiang & Cai, Wenjia & Wang, Can, 2019. "Emissions trading systems and social equity: A CGE assessment for China," Applied Energy, Elsevier, vol. 235(C), pages 1254-1265.
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    12. Li, Guannan & Hu, Yunpeng & Chen, Huanxin & Li, Haorong & Hu, Min & Guo, Yabin & Liu, Jiangyan & Sun, Shaobo & Sun, Miao, 2017. "Data partitioning and association mining for identifying VRF energy consumption patterns under various part loads and refrigerant charge conditions," Applied Energy, Elsevier, vol. 185(P1), pages 846-861.
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    14. Kim, Jimin & Hong, Taehoon & Jeong, Jaemin & Lee, Myeonghwi & Koo, Choongwan & Lee, Minhyun & Ji, Changyoon & Jeong, Jaewook, 2016. "An integrated multi-objective optimization model for determining the optimal solution in the solar thermal energy system," Energy, Elsevier, vol. 102(C), pages 416-426.
    15. Prysmakova, Palina, 2020. "Generation learning framework: Applying Margaret Mead's typology to agenda-setting stage of policy diffusion," Studia z Polityki Publicznej / Public Policy Studies, Warsaw School of Economics, vol. 7(2), pages 1-25, July.
    16. Baek, Seoin & Park, Eunil & Kim, Min-Gil & Kwon, Sang Jib & Kim, Ki Joon & Ohm, Jay Y. & del Pobil, Angel P., 2016. "Optimal renewable power generation systems for Busan metropolitan city in South Korea," Renewable Energy, Elsevier, vol. 88(C), pages 517-525.
    17. Baochen Yang & Chuanze Liu & Yunpeng Su & Xin Jing, 2017. "The Allocation of Carbon Intensity Reduction Target by 2020 among Industrial Sectors in China," Sustainability, MDPI, vol. 9(1), pages 1-19, January.
    18. 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.
    19. Xiong, Ling & Shen, Bo & Qi, Shaozhou & Price, Lynn & Ye, Bin, 2017. "The allowance mechanism of China’s carbon trading pilots: A comparative analysis with schemes in EU and California," Applied Energy, Elsevier, vol. 185(P2), pages 1849-1859.
    20. Jiangnan Li & Tian Mao & Guanglei Huang & Wenmeng Zhao & Tao Wang, 2023. "Research on Day-Ahead Optimal Scheduling Considering Carbon Emission Allowance and Carbon Trading," Sustainability, MDPI, vol. 15(7), pages 1-23, April.
    21. 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.
    22. Feijoo, Felipe & Das, Tapas K., 2014. "Design of Pareto optimal CO2 cap-and-trade policies for deregulated electricity networks," Applied Energy, Elsevier, vol. 119(C), pages 371-383.

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