Abstract

CO2 emissions account for 80% of greenhouse gases, which lead to the largest contributions to climate change. As the problem of CO2 emission becomes more and more prominent, research on sustainable technologies to reduce CO2 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 CO2 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-CO2 in CO2 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.

Highlights

  • IntroductionProblems such as droughts, heatwaves, and rising sea levels are globally occurring [1]

  • Due to climate change, problems such as droughts, heatwaves, and rising sea levels are globally occurring [1]

  • This paper presented a dynamic optimization model that can dynamically predict, control, monitor, and manage five major influencing factors that affect environmental loads during in-situ production

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Summary

Introduction

Problems such as droughts, heatwaves, and rising sea levels are globally occurring [1]. One of the biggest causes of climate change is greenhouse gas [2], and international regulations on greenhouse gas emissions are being strengthened [3]. The construction industry is recognized as a major cause of environmental pollution [10], and it is important to quantify and evaluate the environmental load. In studies related to the calculation of environmental loads of construction, Tae et al evaluated the CO2 generated during the life cycle of a building and its economic efficiency to assess the environmental loads and costs of buildings that use plaster board drywall [11]. Park et al studied correlation analysis between the environmental load computed through life cycle assessment (LCA) using the database of national highway construction cases and the inventory of available information that can be extracted in the road planning stage [13]. Lee et al developed and validated an environmental load estimating model for the New Austrian Tunneling Method (NATM)

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