Harnessing artificial intelligence for sustainable office building design in Baghdad: A comparative analysis of traditional vs generative environmental approaches

Hot-arid regions such as Baghdad have building typologies with high knowledge to the combination of mechanical cooling systems as well as low dependency on the environment. This study aims at countering such energy consumption in office buildings with the use of generative design AI tools. A comparative energy model was implemented and run between a standard design model (A) and a model optimized with AIs (B) through Galapagos, Ladybug, Honeybee and EnergyPlus modules in Rhino-Grasshopper. The models were assessed based on the same criteria, such as Energy Use Intensity (EUI), thermal comfort (PMV), ventilation (ACH), and solar radiation. The findings are that Model B has realized an energy saving of 25.9 %, a 177 percent better ventilation efficiency and acceptable comfort level. The findings underscore the worth of incorporating AI and generative design earlier on in the architect.