Modelado y simulación de confort higrotérmico en instalaciones industriales mediante el uso de la dinámica de fluidos computacional

Abstract

The present study investigates the application of Computational Fluid Dynamics (CFD) to optimize hygrothermal comfort in industrial facilities. This comfort, related to temperature and humidity, is crucial for workers' productivity and the efficiency of industrial processes. The study faces challenges such as accurately modeling the interactions between airflow, human occupancy, and heat transfer. It highlights the importance of CFD in simulating and predicting the effects of airflow and temperature distributions in indoor environments, which is vital for the design of heating, air conditioning, and ventilation systems. By evaluating environmental control strategies through simulations, the aim is to avoid costly errors and reduce operational expenses. Maintaining optimal hygrothermal conditions can improve workers' concentration, reduce errors and accidents, and promote energy efficiency, aligning with sustainability goals. The research incorporates data on the unique climatic conditions of Quito and emphasizes the incorporation of renewable energy sources to enhance energy efficiency in industrial climate control systems. The recommendations of this study contribute to improving industrial environments, increasing workers' well-being, and supporting sustainable practices. The use of CFD models is an indispensable tool for achieving these objectives through detailed and precise simulations.