To support decision-making aimed at construction site decarbonization it is necessary to calculate the environmental impacts of construction activities. However, due to the complexity of construction projects, carbon emission calculations of the construction phase are not widely performed. Hence, this thesis aims to develop a methodology that estimates the environmental impact precisely, using different datasets. Therefore, the methodology is developed with the findings as follows: (i) The methodology proposes the use of the BIM-based construction schedule as the primary data source containing information about the construction activities, required resource quantities, and characteristics, making it possible to estimate as-planned emissions. (ii) The methodology estimates as-performed emissions, considering energy sources' consumption rates. (iii) The environmental impact of the construction phase is estimated based on data stored in the tables, and thus, the Relational Database Management System is applied to manipulate it. (iv) The generated results are allocated to building elements related to the construction activities and stored in the BIM model. The validation procedure shows that the results are meaningful and do not deviate significantly from similar studies. As part of further research, it is recommended to enhance the methodology by considering the application of real-time information streaming.
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To support decision-making aimed at construction site decarbonization it is necessary to calculate the environmental impacts of construction activities. However, due to the complexity of construction projects, carbon emission calculations of the construction phase are not widely performed. Hence, this thesis aims to develop a methodology that estimates the environmental impact precisely, using different datasets. Therefore, the methodology is developed with the findings as follows: (i) The metho...
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