INTEGRATED USE OF LIFE CYCLE ASSESSMENT AND UNCERTAINTY ANALYSIS TECHNIQUES IN A BRAZILIAN HIGHWAY PROJECT
Life cycle assessment; Uncertainty; Highway project; Brazil
The transport sector is one of the main factors responsible for the socioeconomic growth of a country, but it is also responsible for a significant portion of the negative impacts on the environment, which can be observed from the production of raw materials to the construction, maintenance, use, and end of life of infrastructure. In this context, Brazil faces the challenge of reconciling the significant investments aimed at the maintenance and expansion of the federal highway network with the national strategy of climate neutrality. However, the National Department of Transport Infrastructure (DNIT), which is responsible for the direct administration of federal highways and the development of the main technical specifications for transport infrastructure projects in Brazil, lacks a tool to assess and mitigate the environmental impacts associated with the engineering solutions of its road projects, which can be achieved through the Life Cycle Assessment (LCA) methodology. In addition, Brazil faces difficulties regarding the availability and quality of environmental data from the main road inputs, bringing uncertainty to the results of LCA studies. The main objective of this research is to use life cycle assessment and uncertainty analysis techniques to evaluate the greenhouse gas emissions and primary energy consumption of a road project developed by DNIT for BR-080/DF, considering the raw material, transportation, and construction phases. The study should also investigate the influence of major design disciplines on LCA results, as well as the differences in results arising from the use of local Portland cement compared to the equivalents in the United States of America and Europe. It is expected that the research will provide sufficient elements to evaluate the environmental impacts of the selected project, as well as other strategies to reduce these impacts based on the quality and origin of the environmental data of its inputs and the engineering solutions of its main disciplines.