Multi-objective green design model based on costs, CO2 emissions and serviceability for high-rise buildings with a mega-structure system
Abstract
In light of growing environmental concerns, the reduction of CO2 emissions is increasingly vital. Particularly in the construction industry, a major contributor to global carbon emissions, addressing this issue is critical for environmental sustainability and mitigating the accelerating impacts of climate change. This study proposes the Optimal Green Design Model for Mega Structures (OGDMM) to optimise CO2 emissions, cost-effectiveness, and serviceability in highrise buildings with mega structures. The OGDMM examines the impact of each material and structural design of main members on these three critical aspects. Analytical results for high-rise buildings (120–200 m, slenderness ratio: 2.0–8.0) demonstrate that OGDMM can reduce CO2 emissions and costs by an average of 4.67% and 3.97%, respectively, without compromising serviceability. To ensure comprehensive evaluation, this study introduces five new evaluation indicators encompassing environmental, economic, and serviceability performances of high-rise buildings. Based on these criteria, optimised structural designs for high-rise buildings are classified into four categories according to slenderness ratio, leading to the formulation of corresponding design guidelines. The model’s applicability is further validated through its application to a 270-m-tall high-rise building in Korea, showing reductions in CO2 emissions and costs by 8.99% and 18.50%, respectively, while maintaining structural serviceability.
Keyword : structural optimisation, green design, high-rise building, mega-structure system, serviceability
How to Cite
Choi, J., Lee, S. H., Hong, T., Lee, D.-E., & Park, H. S. (2024). Multi-objective green design model based on costs, CO2 emissions and serviceability for high-rise buildings with a mega-structure system. Journal of Civil Engineering and Management, 30(4), 354–372. https://doi.org/10.3846/jcem.2024.21357
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Chung, K., & Yoo, S. (2019) Structural design and construction of mega braced frame system for tall buildings. International Journal of High-Rise Buildings, 8(3) 169–175. https://doi.org/10.21022/IJHRB.2019.8.3.169
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Du, G., & Karoumi, R. (2014). Life cycle assessment framework for railway bridges: Literature survey and critical issues. Structure and Infrastructure Engineering, 10(3), 277–294. https://doi.org/10.1080/15732479.2012.749289
Eleftheriadis, S., Duffour, P., Greening, P., James, J., Stephenson, B., & Mumovic, D. (2018). Investigating relationships between cost and CO2 emissions in reinforced concrete structures using a BIM-based design optimisation approach. Energy and Buildings, 166, 330–346. https://doi.org/10.1016/j.enbuild.2018.01.059
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Kaveh, A., Izadifard, R. A., & Mottaghi, L. (2020). Optimal design of planar RC frames considering CO2 emissions using ECBO, EVPS and PSO metaheuristic algorithms. Journal of Building Engineering, 28, Article 101014. https://doi.org/10.1016/j.jobe.2019.101014
Kim, J., Koo, C., Kim, C. J., Hong, T., & Park, H. S. (2015). Integrated CO2, cost, and schedule management system for building construction projects using the earned value management theory. Journal of Cleaner Production, 103, 275–285. https://doi.org/10.1016/j.jclepro.2014.05.031
Kim, B., Tse, K.T, Chen, Z., & Park, H.S. (2020) Multi-objective optimization of a structural link for a linked tall building system. Journal of Building Engineering, 31, Article 101382. https://doi.org/10.1016/j.jobe.2020.101382
Koo, C., Hong, T., & Kim, S. (2015). An integrated multi-objective optimization model for solving the construction time-cost trade-off problem. Journal of Civil Engineering and Management, 21(3), 323–333. https://doi.org/10.3846/13923730.2013.802733
Korea Concrete Institute. (2012). Concrete design guide.
Korea Price Information. (2019). https://www.kpi.or.kr/www/
Lee, J., Kim, S. M., Park, H. S., & Woo, B. H. (2005). Optimum design of cold-formed steel channel beams using micro Genetic Algorithm. Engineering Structures, 27(1) 17–24. https://doi.org/10.1016/j.engstruct.2004.08.008
Lee, M. G., An, J. H., Bae, S. G., Oh, H. S., Choi, J., Yun, D. Y, Hong, T., Lee, D.-E., & Park, H. S. (2020). Multi-objective sustainable design model for integrating CO2 emissions and costs for slabs in office buildings. Structural and Infrastructure Engineering, 16(8), 1096–1105. https://doi.org/10.1080/15732479.2019.1683590
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Mavrokapnidis, D., Mitropoulou, C. C., & Lagaros, N. D. (2019). Environmental assessment of cost optimized structural systems in tall buildings. Journal of Building Engineering, 24, Article 100730. https://doi.org/10.1016/j.jobe.2019.100730
Migilinskas, D., Balionis, E., Dziugaite-Tumeniene, R., & Siupsinskas, G. (2016). An advanced multi-criteria evaluation model of the rational building energy performance. Journal of Civil Engineering and Management, 22(6), 844–851. https://doi.org/10.3846/13923730.2016.1194316
Ministry of Construction and Transportation. (2016). Building code requirements for structural concrete (KBC 2016). Korean Building Code.
National Oceanic and Atmospheric Administration. (2019). Climate change: Global sea level. https://www.climate.gov/news-features/understanding-climate/climate-change-global-sea-level
National Oceanic and Atmospheric Administration. (2020). Climate change: Global temperature. https://www.climate.gov/news-features/understanding-climate/climate-change-global-temperature
Oh, B. K., Choi, S. W., & Park, H. S. (2017). Influence of variations in CO2 emission data upon environmental impact of building construction. Journal of Cleaner Production, 140, 1194–1203. https://doi.org/10.1016/j.jclepro.2016.10.041
Park, H. S., Kwon, Y. H., Seo, J. H., & Woo, B. H. (2006). Distributed hybrid genetic algorithms for structural optimization on a PC cluster. Journal of Structural Engineering, 132(12), 1890–1897. https://doi.org/10.1061/(ASCE)0733-9445(2006)132:12(1890)
Park, H. S., Kwon, B., Shin, Y., Kim, Y., Hong, T., & Choi, S. W. (2013). Cost and CO2 emission optimization of steel reinforced concrete columns in high-rise buildings. Energies 6(11), 5609–5624. https://doi.org/10.3390/en6115609
Park, H. S., Lee, H., Kim, Y., Hong, T., & Choi, S. W. (2014). Evaluation of the influence of design factors on the CO2 emissions and costs of reinforced concrete columns. Energy and Buildings, 82, 378–384. https://doi.org/10.1016/j.enbuild.2014.07.038
Park, H. S., Lee, E., Choi, S. W., Oh, B. K., Cho, T., & Kim, Y. (2016). Genetic-algorithm-based minimum weight design of an outrigger system for high-rise buildings. Engineering Structures, 117, 496–505. https://doi.org/10.1016/j.engstruct.2016.02.027
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