Research on Establishing Carbon Emission Models with Uncertainty and Optimizing the Robustness of Schemes During Engineering Construction
The carbon emissions generated during the construction phase are considerable,and the real-world scenario is replete with uncertainty,which can influence the measurement of carbon emissions and the formulation of a low-carbon construction plan.Considering the influence of uncertain factors,this paper proposes a method for uncertain measurement of construction carbon emission based on discrete event simulation,carbon emission measurement,machine learning,and robustness optimization.The objective is to provide decision-makers with decision support by carrying out construction carbon emission measurement and offering insights into the potential impact of uncertain factors on the measurement process.A method for optimizing the robustness of carbon emissions in construction schemes is also established.To verify the effectiveness of the method,a model for uncertain measurement of carbon emissions is constructed using a practical construction project as an example,and the low-carbon construction scheme is optimized on this basis.The results demonstrate that this method can enhance the resilience of carbon emissions associated with construction projects,maintaining a low-carbon emission profile in the face of uncertainty.This method serves as a significant theoretical reference for guiding the construction of low-carbon projects.
uncertainty factorscarbon emissionsrobustnessoptimization of construction plan
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