Carlos Torres-Aguilar^1,*, Pedro Moreno^2,*, Diego Rossit³, Sergio Nesmachnow⁴, Karla M. Aguilar-Castro¹, Edgar V. Macias-Melo¹, Luis Hernández-Callejo⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3859-3881, 2025, DOI:10.32604/cmes.2025.069996 - 23 December 2025

Abstract Solar chimneys are renewable energy systems designed to enhance natural ventilation, improving thermal comfort in buildings. As passive systems, solar chimneys contribute to energy efficiency in a sustainable and environmentally friendly way. The effectiveness of a solar chimney depends on its design and orientation relative to the cardinal directions, both of which are critical for optimal performance. This article presents a supervised learning approach using artificial neural networks to forecast the performance indicators of solar chimneys. The dataset includes information from 2784 solar chimney configurations, which encompasses various factors such as chimney height, channel thickness, More > Graphic Abstract

H. Benzzine, H. Labrim, Aouatif Saad^*, Y. Achour, D. Zejli, R. El Bouayadi

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.8, pp. 1903-1913, 2024, DOI:10.32604/fdmp.2024.050557 - 06 August 2024

Abstract This study addresses the pressing need for energy-efficient greenhouse management by focusing on the innovative application of natural ventilation. The primary objective of this study is to evaluate various ventilation strategies to enhance energy efficiency and optimize crop production in agricultural greenhouses. Employing advanced numerical simulation tools, the study conducts a comprehensive assessment of natural ventilation’s effectiveness under real-world conditions. The results underscore the crucial role of the stack effect and strategic window positioning in greenhouse cooling, providing valuable insights for greenhouse designers. Our findings shed light on the significant benefits of optimized ventilation and More > Graphic Abstract

El Hadji I Cisse^1,*, Baye Alioune Ndiogou^1,2, Soumaïla Tigampo¹, Ababacar Thiam^1,3, Dorothé Azilinon¹

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.4, pp. 901-910, 2023, DOI:10.32604/fdmp.2022.021973 - 02 November 2022

Abstract A study is conducted to optimize the geometry of a solar chimney equipped with a horizontal absorber in order to improve its performances in relation to the provision of ventilation. The problem is tackled through numerical solution of the governing equations for mass, momentum and energy in their complete three-dimensional and unsteady formulation. The numerical framework also includes a turbulence model (k-ε) and a radiant heat transfer (DO) model. Moreover, a Multi-Objective Genetic Algorithm (MOGA) is employed to derive the optimal configuration of the considered solar chimney. It is shown that an air velocity of More >

Siqi Liu^1,2,3, Guanqi Huang^3,4,*

FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.1, pp. 141-157, 2021, DOI:10.32604/fdmp.2021.011990 - 09 February 2021

Abstract Many countries in the world have experienced extremely rapid urbanization during recent decades. The rapid development of densely populated areas has produced many urban environmental problems. This research explores the relationship between urban morphology and ventilation conditions. Through 3D modeling and Computational Fluid Dynamics (CFD) simulation, we focus on the large scale ventilation of an extended area with several buildings. As a testbed, in particular, the core part of Kwun Tong industrial park in Hong Kong is examined, and in order to validate the approach, 10 measurement points are used to get experimental values to More >