Data-Driven Architecture: Delving into 4 Building Information Tools
Architecture is a multifaceted discipline influenced by diverse sources of data and information, which play a fundamental role in shaping architectural production. In the past, horological instruments like the sundial were used to obtain data, such as time, and gain knowledge of solar incidence at different times of the year and geographical locations. This made it possible to determine the optimal orientation of buildings, resulting in benefits such as better use of sunlight and greater thermal comfort.
Image created using AI under the prompt: A futuristic architectural landscape exemplifying data-driven architecture. Image via DALL.E 2
Architecture is a multifaceted discipline influenced by diverse sources of data and information, which play a fundamental role in shaping architectural production. In the past, horological instruments like the sundial were used to obtain data, such as time, and gain knowledge of solar incidence at different times of the year and geographical locations. This made it possible to determine the optimal orientation of buildings, resulting in benefits such as better use of sunlight and greater thermal comfort.
Although cultural, social, and even religious factors can influence architectural design, quantitative factors are especially relevant when making decisions in the early stages of the creative process, during construction, and throughout the life cycle of a building. Therefore, it is important to collect and process relevant information, such as location, solar incidence, occupancy capacity, occupant interactions, energy performance, and carbon emissions, among other aspects.
