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Cost and CO 2 Emission Optimization of Steel Reinforced Concrete Columns in High-Rise Buildings

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  • Hyo Seon Park

    (Department of Architectural Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Korea
    Center for Structural Health Care Technology in Buildings, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Korea)

  • Bongkeun Kwon

    (Library, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Korea)

  • Yunah Shin

    (Department of Architectural Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Korea
    Center for Structural Health Care Technology in Buildings, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Korea)

  • Yousok Kim

    (Center for Structural Health Care Technology in Buildings, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Korea)

  • Taehoon Hong

    (Department of Architectural Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Korea)

  • Se Woon Choi

    (Center for Structural Health Care Technology in Buildings, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Korea)

Abstract

The construction industry is a representative industry that consumes large amounts of energy and produces substantial pollution. The operation of a building accounts for a large portion of its total CO 2 emissions. Most efforts are focused on improving the energy efficiency related to the operation of a building. The relative importance of the energy and CO 2 emissions from the construction materials increases with the increasing number of low-energy buildings. To minimize the life-cycle energy use of a building, the energy consumed from both materials in the construction phase as well as the energy consumed from the operation of the building must be reduced. In this study, an optimal design method for composite columns in high-rise buildings using a genetic algorithm is proposed to reduce cost and CO 2 emissions from the structural materials in the construction phase. The proposed optimal method minimizes the total cost, including the additional cost calculated based on CO 2 emissions from composite columns, while satisfying the structural design criteria and constructability conditions. The proposed optimal method is applied to an actual 35-story building, and the effective use of structural materials for the sustainable design of composite columns is investigated. It is shown that using more concrete than steel section and using high-strength materials are economically and environmentally effective methods.

Suggested Citation

  • Hyo Seon Park & Bongkeun Kwon & Yunah Shin & Yousok Kim & Taehoon Hong & Se Woon Choi, 2013. "Cost and CO 2 Emission Optimization of Steel Reinforced Concrete Columns in High-Rise Buildings," Energies, MDPI, vol. 6(11), pages 1-16, October.
  • Handle: RePEc:gam:jeners:v:6:y:2013:i:11:p:5609-5624:d:29903
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    References listed on IDEAS

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    Cited by:

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    2. Gebrail Bekdaş & Sinan Melih Nigdeli & Sanghun Kim & Zong Woo Geem, 2022. "Modified Harmony Search Algorithm-Based Optimization for Eco-Friendly Reinforced Concrete Frames," Sustainability, MDPI, vol. 14(6), pages 1-13, March.
    3. Václav Kočí & Lenka Scheinherrová & Jiří Maděra & Martin Keppert & Zbigniew Suchorab & Grzegorz Łagód & Robert Černý, 2020. "Experimental and Computational Study of Thermal Processes in Red Clays Exposed to High Temperatures," Energies, MDPI, vol. 13(9), pages 1-15, May.
    4. Kim, Jimin & Hong, Taehoon & Jeong, Jaemin & Koo, Choongwan & Jeong, Kwangbok, 2016. "An optimization model for selecting the optimal green systems by considering the thermal comfort and energy consumption," Applied Energy, Elsevier, vol. 169(C), pages 682-695.
    5. Xiao-Yong Wang, 2019. "Effect of Carbon Pricing on Optimal Mix Design of Sustainable High-Strength Concrete," Sustainability, MDPI, vol. 11(20), pages 1-17, October.
    6. 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.
    7. Iman Faridmehr & Moncef L. Nehdi & Mehdi Nikoo & Kiyanets A. Valerievich, 2021. "Predicting Embodied Carbon and Cost Effectiveness of Post-Tensioned Slabs Using Novel Hybrid Firefly ANN," Sustainability, MDPI, vol. 13(21), pages 1-30, November.
    8. Seungho Cho & Seunguk Na, 2017. "The Reduction of CO 2 Emissions by Application of High-Strength Reinforcing Bars to Three Different Structural Systems in South Korea," Sustainability, MDPI, vol. 9(9), pages 1-24, September.

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