Data-Driven Building Design is a method of designing buildings using data analysis techniques to inform decision making. It involves collecting and analyzing data about a building's performance, occupant behavior, and environmental conditions to optimize the design. This approach allows architects and engineers to gain insights into how a building might perform before construction, which can result in improved energy efficiency, reduced operational costs, and improved occupant comfort. Data may be collected through sensors, energy modeling software, building management systems, and other sources to inform the design process. The goal of Data-Driven Building Design is to create buildings that are more sustainable, efficient, and comfortable for their occupants.
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