Smart City Innovations and Experiments using New Climate and Energy Simulations

Descripción del proyecto

El gemelo digital de una ciudad inteligente supera el calentamiento global

Las ciudades densamente pobladas contribuyen enormemente al cambio climático, ya que consumen la mayor parte de la energía mundial y producen grandes cantidades de emisiones de gases de efecto invernadero. Las repercusiones se dejan sentir no solo en el medio ambiente, sino también en la salud humana. En el camino hacia unas ciudades inteligentes climáticamente neutras, el equipo del proyecto financiado con fondos europeos SCIENCES está desarrollando una forma innovadora de integrar un modelo de base física en un gemelo digital de una ciudad inteligente. El modelo se configurará automáticamente a partir de un modelo tridimensional de una ciudad y una plataforma del internet de las cosas, y simulará las interacciones entre los edificios y el entorno exterior. El sistema integrado permitirá simular las condiciones del aire exterior y facilitará el estudio de los entornos urbanos, lo que dará lugar a soluciones que mejorarán el confort térmico exterior y reducirán las emisiones de gases de efecto invernadero.

Objetivo

As most of the world’s population lives in urban areas, cities play a key role in the use of energy resources and public well-being. The quality of life in cities, as well as the consumption of energy, is highly compromised by the heat they release and the Green House Gases (GHGs) they emit. For this reason, Horizon Europe and other international organizations are committed to supporting research and innovation for the development of climate-neutral and smart cities.
Solutions to improve outdoor thermal comfort and reduce GHGs in cities could be more comprehensively studied if physically-based models simulating interactions between buildings and the outdoor environment were integrated into Smart City Digital Twins (SCDTs). The integration of physically-based models into SCDTs is still encountering difficulties, however, and in my research, I propose to overcome these by: 1) automatically configuring a physically-based model from a 3D city model and an Internet of Things (IoT) platform; 2) using statistical models in concurrence with the physically-based model; and 3) simulating temperature, air flow, humidity, and GHGs in the outdoor air, using the physically-based model.
While conducting my research at Carnegie Mellon University and Technical University of Delft, I will diversify my skills and competencies through training activities and through the transfer of knowledge from my supervisors. Together, these will enable me to become a world leader in applying urban microclimate modelling to SCDTs. I will also gain experience in team management and teaching to achieve my career goals in academia. Finally, the collaboration with host organizations and one company in Europe will allow me to extend my professional network in the United States, Europe, and industry.