CFD-Based Assessment of Indoor Air Quality and Ventilation Optimization in a Printing and Dyeing Industry

Gaurav Arvind Shukla; Namrata D. Jariwala

CFD-Based Assessment of Indoor Air Quality and Ventilation Optimization in a Printing and Dyeing Industry

Author(s)	Gaurav Arvind Shukla, Namrata D. Jariwala
Country	India
Abstract	The dyeing or printing industry in surat is largely established before the Factories Act, 1948; hence, there is limited provision of safe and healthy working environments, proper indoor environment quality. Additionally, these industries are often constrained by budgets, so they rarely look for betterment of the work environment. Existing ventilation systems do not allow for proper air flow, resulting in poor thermal comfort for workers and a physically harsh conditions, This leads to lower work efficiency, productivity and ultimately economic and social inequality. This study is on dispersion of indoor air with the current ventilation strategy, and possible system improvements with mechanical ventilation enhancement methods. The numerical method is used to study pollutant diffusion in printing and dyeing industry. The CFD allow the simulation of two different scenarios to obtain a quantitative assessment of the effects of the proposed improvement measures. Numerical modelling with CFD is performed using ANSYS FLUENT in order to analyze the air flow in a printing industry facility, specifically monitoring the mass fraction of Carbon dioxide, Sulphur dioxide, Nitrogen monoxide, and variations in temperature. The simulation results were analysed with both scenarios one with naturally existing ventilation system and other with proposed forced ventilation (mechanical exhaust). The best case scenario in terms of indoor air quality with improved air dispersion, minimum mass fraction of pollutants and the lowest temperature gradient, consisted in when mechanical exhaust are considered for ventilation which cause an inlet velocity of 1.75 m/sec from emission source, and a temperature of 400oK with one window and door only thus improved better thermal comfort employing better work efficiency and production.
Keywords	ANSYS Fluent, Computational Fluid Dynamics (CFD), Indoor air quality, Modelling, Numerical assessment, dyeing & printing industry.
Field	Engineering
Published In	Volume 7, Issue 5, September-October 2026
Published On	2026-10-16

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CFD-Based Assessment of Indoor Air Quality and Ventilation Optimization in a Printing and Dyeing Industry

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