Wooden Structures in Sustainable Design: AI-Based Energy Efficiency and Environmental Impact

This study aims to analyze the integration of wooden structures into green building designs and the effects of this integration on sustainable architecture. Wood, as a renewable building material, offers advantages such as low carbon footprint, energy efficiency and environmental sustainability. The study examines the thermal performance, energy efficiency and acoustic properties of wooden structures and evaluates the potential of these structures as a sustainable solution in future green building projects. In the study, select wooden structures such as Brock Commons Tallwood House (Canada), Mjøstårnet (Norway), Treet (Norway), Forté Building (Australia) and The Edge (Netherlands) were analyzed. Artificial intelligence-supported simulations were performed on these structures and evaluations were made in terms of thermal performance, energy efficiency and carbon storage capacity. Artificial intelligence methods were used to optimize energy efficiency and reduce environmental impacts. For example, EnergyPlus software and artificial intelligence techniques such as genetic algorithms were used for energy modeling to optimize the performance of buildings in different climatic conditions. Life Cycle Analysis (LCA) has determined that the carbon storage capacity of wooden structures is superior to traditional materials such as steel and concrete. The results show that wooden structures reduce energy consumption, minimize heating and cooling needs, increase acoustic comfort and contribute to environmental sustainability. In particular, structures such as Mjøstårnet and The Edge are exemplary in both reducing carbon emissions and saving energy.