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Researchers at the City Intelligence Lab (CIL) of the AIT Energy Center developed an artificial intelligence (AI) simulation for wind currents. This enables planning wind factors to be determined in seconds, which means that drafts can be analyzed and optimized in real time in each planning phase, taking wind factors into account. In times of extreme weather conditions, wind currents are of great importance with respect to dangerous speeds during storms, but also to adjust the microclimatic conditions of a quarter. Despite measures for COVID-19 on CIL’s interactive online platform, this app could be developed across national borders with Giraffe Technologies partners.
“The cities of the future must not only be equipped with smart technologies, but must also be digitally planned in a consistent way, from the neighborhood to the building. With the new simulation, we can already consider the influence of wind currents on the microclimate, but also the effects of storms on planning and adjust numerous parameters in a very short time. Working in real working hours greatly simplifies the planning processes for our partners in architecture and urban development projects. We can adjust these complex plans in a matter of seconds. The platform’s innovation performance is the use of artificial intelligence (AI) and large amounts of data to create various planning scenarios in the shortest possible time, “explains Nikolas Neubert, Head of the Digital Resilient Cities Competition Unit at the Energy Center of the Austrian Institute of Technology AIT.
Significant wind currents for the microclimate in cities.
Understanding urban wind currents is becoming increasingly important for urban planning, in particular due to increasingly extreme weather conditions due to climate change. “First, current development can locate those areas with potentially dangerous wind speeds during storms and weaken the influence. Second, the results can be used to adjust the microclimatic conditions of a neighborhood, either to cool or maintain heat, “said Angelos Chronis, Head of the City Intelligence Laboratory at the AIT Energy Center. The platform at CIL’s line for collaborative design coupled with real-time analysis enables previously impossible workflows. “Getting feedback in seconds instead of hours or days is a key factor in planning. Now designs can be analyzed and optimized in time real in each phase, taking into account wind factors, “says Chronis.
City Intelligence Lab: Corona crisis shows potential of online platform for cooperative cooperation
CIL as a working environment is a platform for cooperation in which the effects of changes in planning are immediately visible. In times of increased physical distance, researchers and developers can access the platform online and work together regardless of where they work. With the help of artificial intelligence, projects and possible planning scenarios can be solved more quickly. For example, the effects of a district’s development, such as the height of buildings and their effects on the microclimate, can be shown in a short time, a few minutes.
3D models and project results are available 24 hours a day and can be exchanged with project partners worldwide using a browser, regardless of the location of the city’s intelligence lab. “This allows us to have a radically new way of seamless collaboration with our clients. The possibilities for digital collaboration beyond the office and national borders were already a reality before the crown crisis, but now they are gaining special attention and importance ”, Neubert is convinced. “Because the current situation now shows the enormous potential for global and cooperative cooperation and that it works,” says Neubert.
City Intelligence Lab: an international flagship laboratory
The laboratory is an interactive platform to research new forms and technologies for the practice of urban planning of the future and pursues the focus of co-creative development, the joint creation of new knowledge. The platform is compatible with the latest digital planning tools that use Big Data and Artificial Intelligence (AI).
