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Dynamic Optimization Model for Estimating In-Situ Production Quantity of PC Members to Minimize Environmental Loads

Author

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  • Jeeyoung Lim

    (Department of Civil Engineering and Construction Engineering Management, Green BIM Laboratory, California State University Long Beach, Long Beach, CA 90840, USA)

  • Joseph J. Kim

    (Department of Civil Engineering and Construction Engineering Management, Green BIM Laboratory, California State University Long Beach, Long Beach, CA 90840, USA)

Abstract

CO 2 emissions account for 80% of greenhouse gases, which lead to the largest contributions to climate change. As the problem of CO 2 emission becomes more and more prominent, research on sustainable technologies to reduce CO 2 emission among environmental loads is continuously being conducted. In-situ production of precast concrete members has advantages over in-plant production in reducing costs, securing equal or enhanced quality under equal conditions, and reducing CO 2 emission. When applying in-situ production to real projects, it is vital to calculate the optimal quantity. This paper presents a dynamic optimization model for estimating in-situ production quantity of precast concrete members subjected to environmental loads. After defining various factors and deriving the objective function, an optimization model is developed using system dynamics. As a result of optimizing the quantity by applying it to the case project, it was confirmed that the optimal case can save 7557 t-CO 2 in CO 2 emissions and 6,966,000 USD in cost, which resulted in 14.58% and 10.53% for environmental loads and cost, respectively. The model developed here can be used to calculate the quantity of in-situ production quickly and easily in consideration of dynamically changing field conditions.

Suggested Citation

  • Jeeyoung Lim & Joseph J. Kim, 2020. "Dynamic Optimization Model for Estimating In-Situ Production Quantity of PC Members to Minimize Environmental Loads," Sustainability, MDPI, vol. 12(19), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:8202-:d:423934
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    References listed on IDEAS

    as
    1. Taehyoung Kim & Chang U. Chae, 2016. "Evaluation Analysis of the CO 2 Emission and Absorption Life Cycle for Precast Concrete in Korea," Sustainability, MDPI, vol. 8(7), pages 1-13, July.
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    Cited by:

    1. Sunkuk Kim, 2021. "Technology and Management for Sustainable Buildings and Infrastructures," Sustainability, MDPI, vol. 13(16), pages 1-3, August.
    2. Wang, Zhaohua & Liu, Qiang & Zhang, Bin, 2022. "What kinds of building energy-saving retrofit projects should be preferred? Efficiency evaluation with three-stage data envelopment analysis (DEA)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    3. Jeeyoung Lim & Joseph J. Kim & Sunkuk Kim, 2021. "A Holistic Review of Building Energy Efficiency and Reduction Based on Big Data," Sustainability, MDPI, vol. 13(4), pages 1-18, February.

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