AI and Digital Twin for Carbon Neutrality

Abstract

This study investigates the trends of AI and digital twin technologies in achieving carbon neutrality and explores the future challenges. Since GHG emission sources are diverse, the role of AI and digital twin technologies is significant in areas such as measurement and evaluation of emission factors or activity level, data integration, and optimization. In the infrastructure sector, research and development on emission calculation and optimization based on BIM/CIM will be required. Moreover, civil engineering structures have a substantial impact on the overall emissions of cities. Therefore, it is necessary to consider emission reductions not only from the perspective of individual structures but also from the urban scale. In the future, complex optimization problems will need to be solved, and the introduction of advanced computer science technologies, such as quantum computing and large-scale databases, will be essential.