Smart Cities World (2019-09-11)
Digital twins could form the "end game" for optimum smart city design
News
11 Sep 2019
by SmartCitiesWorld news team
Research finds that urban digital twinning and city modelling technology is having a transformative effect on how cities are designed, monitored, and managed.
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Digital twinning technology can transform how cities are designed, monitored and managed
Digital twinning technology can transform how cities are designed, monitored and managed
Urban modelling and digital twins, in particular, will form the “end game” of the smart cities journey to optimised design and the ultra-efficient operation of entire cities, according to ABI Research.
Its research findings reveal that the installed base of urban digital twin and city modelling deployments will rise from a handful to more than 500 by 2025.
The global tech market advisory firm said the technology is helping to transform how cities are designed, monitored, and managed and optimising the holistic performance of cities across verticals in terms of energy management, mobility, resilience, sustainability, and economic growth.
Combining technologies
Digital twins combine spatial modelling of the urban built environment, modelling of electrical and mechanical systems based on mathematical descriptions or deep learning informed training, and real-time sensor data derived from IoT platform solutions.
Cities having deployed digital twins to date include Newcastle, Rotterdam, Boston, New York, Singapore, Stockholm, Helsinki, Jaipur, and Amaravati. Amaravati, the new capital of the Indian state of Andhra Pradesh, is thought to be the first entire city born with a digital twin with a 3D prototype of the city having been built using Cityzenith’s Smart World Pro software.
“Originally developed for industrial systems, the digital twin concept is now spreading to the smart cities environment,” says Dominique Bonte, vice president end markets at ABI Research.
“However, it won’t be a single Uber-like digital twin for an entire city but rather an aggregation and integration of domain-specific digital twins for systems like smart buildings, traffic infrastructure, energy grids, and water management.”
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