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

Jeeyoung Lim and Joseph J. Kim
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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

Sustainability, 2020, vol. 12, issue 19, 1-20

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.

Keywords: in-situ production; environmental loads; CO 2 emission reduction; life cycle assessment; optimization model; system dynamics (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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