Abstract
This study investigates thermal conditions optimization in a commercial laundry facility through Computational Fluid Dynamics (CFD) analysis using ANSYS Fluent. The research was conducted at Commercial Laundry X in Batu Pahat, Johor, Malaysia, employing a methodology that integrated experimental measurements with computational modelling. Using advanced instrumentation including Temp Sensor T310, Temp Data Logger H100, Thermal Camera T640, and The VelociCalc Multi-Function Ventilation Meter (Model 9565), the study collected empirical data across strategically positioned sampling locations. The data collected from the equipment and instrumentation were compared with the temperature contours and velocity streamlines generated by the computational model. The validated computational model, exhibiting relative errors consistently below 10%, with lowest relative error of 2.17%, successfully simulated complex airflow patterns and temperature distributions throughout the facility. The thermal analysis revealed that of the facility's operational areas exceeded recommended comfort temperatures (23°C - 27°C), with the most significant hotspot reaching 37.81°C near dryer units. This thermal concentration was primarily attributed to the combined effect of equipment heat generation and insufficient thermal dissipation, resulting in localized high-temperature zones that significantly impact the working environment. These findings highlight the critical influence of heat-intensive operations on the thermal environment, indicating poor temperature uniformity and inadequate dissipation of heat in these areas. This research focuses on developing a 3D model of a commercial laundry facility, incorporating geometric and operational characteristics. The model is validated by comparing computational results with experimental measurements of temperature contours and velocity profiles. The study provides valuable insights for optimizing ventilation strategies and equipment placement in commercial laundry facilities, contributing to the enhancement of worker comfort and operational efficiency.
Published Version
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