AI-Driven Multi-City Optimization of Glazing and Shading Systems for Building Energy Use and Operational Carbon Reduction Across Global Climate Zones

An abstract submitted for approval to The 3rd International Online Conference on Energies. A standardized building prototype was simulated using DesignBuilder with EnergyPlus to ensure consistent comparison across climates, including hot-arid (Dubai, UAE), hot-humid (Singapore), Mediterranean (Barcelona, Spain), temperate (Milan, Italy), and cold (Toronto, Canada) conditions. An AI-driven optimization process was applied to vary glazing-to-wall ratios, external shading configurations, and orientation, assessing their impact on energy use and operational carbon emissions.