The Role of Computational Fluid Dynamics within City Digital Twins: Opportunities and Challenges
Paper in proceeding, 2024

The rapid urbanization trend has led to complex challenges in managing urban environments, ranging from energy consumption to environmental quality and public health. In response, the concept of city digital twins has emerged, offering a promising approach to understanding and managing urban complexity. City digital twins utilize real-time data and simulations to create virtual replicas of urban environments, enabling stakeholders to analyze, optimize, and make informed decisions about various aspects of city life. Computational Fluid Dynamics (CFD) plays a crucial role within city digital twins, offering capabilities to simulate wind flow dynamics, air quality, and pollutant dispersion within urban environments. This paper explores the opportunities and challenges of integrating CFD within city digital twins. Opportunities include optimizing urban planning and design processes, enhancing environmental quality, and improving public health outcomes. However, challenges such as data integration and quality, implementation constraints, computational complexity, and communication of results must be addressed to realize the full application potential of CFD in urban environments. Despite these challenges, the integration of CFD within city digital twins holds promise for creating more livable, sustainable, and resilient cities in the face of urbanization and climate change.

Urban Complexity

City Digital Twins

Visualization

Computational Fluid Dynamics (CFD)

Wind Flow

Author

Radostin Mitkov

Sofia University

Mariya Pantusheva

Sofia University

Dessislava Petrova-Antonova

Sofia University

Vasilis Naserentin

Aristotle University of Thessaloniki

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Anders Logg

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

21949042 (ISSN) 21949050 (eISSN)

Vol. 10 4/W4-2024 131-136

8th International Conference on Smart Data and Smart Cities, SDSC 2024
Athens, Greece,

Digital Twin Cities Centre

VINNOVA (2019-00041), 2020-02-29 -- 2024-12-31.

Subject Categories

Fluid Mechanics and Acoustics

DOI

10.5194/isprs-annals-X-4-W4-2024-131-2024

More information

Latest update

7/3/2024 1