EGU24-22023, updated on 11 Mar 2024
https://doi.org/10.5194/egusphere-egu24-22023
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Mitigating Urban Heat Island Intensity in Urban Environments by optimal control method

Waleed Mouhali1, Nacer Sellila2, Mohammed Louaked3, and Houari Mechkour1
Waleed Mouhali et al.
  • 1ECE-Paris Engineering School, LyRIDS, Paris, France
  • 2IFSTTAR Marne la Vallée, Université Gustave Eiffel, Marne-la-Vallée Cedex 2, France
  • 3Laboratoire de Mathématiques Nicolas Oresme, Université de Caen, Caen, France

Climate in urban areas differs from that in neighboring rural areas, as a result of urban development. It can create issues. Among these disturbances, Urban Heat Island (UHI) is a huge risk with many negative consequences (health, comfort...). It concerns urbanized area where temperatures are higher than in surrounding areas. To reduce this effect, the implantation (and design) of green spaces in dense cities is a pertinent solution.

In this study, we use optimal control method to find the optimal shape of green space. We consider city as a porous media system. Therefore, a three-dimensional model is established for numerical studies of the effects of urban anthropogenic heat and wind velocity in urban and rural regions. The transport mechanism of fluid in the cities is governed by the Navier–Stokes–Forchheimer porous media system. It is actually based on non-stationary turbulent fluid dynamics coupled with heat equation considering building/soil radiation effects.

We compute two-dimensional direct numerical simulation. We show the results for temperature and velocity fields. This work presents the governing equations, the control optimal algorithm and discusses the results of the predictions of the flow problems constituting the initial validation space of the model.

How to cite: Mouhali, W., Sellila, N., Louaked, M., and Mechkour, H.: Mitigating Urban Heat Island Intensity in Urban Environments by optimal control method, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-22023, https://doi.org/10.5194/egusphere-egu24-22023, 2024.