IMPLEMENTATION OF NATURAL COOLING IN INDUSTRIAL MACHINERY TO SUPPORT GREEN INDUSTRY THROUGH ENERGY CONSERVATION
Abstract
Overheating is a critical factor that can reduce the reliability and operational performance of industrial machinery, leading to increased wear, maintenance costs, and potential downtime. Therefore, effective thermal management is essential to maintain system performance and extend equipment lifespan. This study aims to analyze the characteristics of heat transfer through natural and forced convection on a flat aluminum plate and evaluate their effectiveness in heat dissipation. The research employs a quantitative experimental approach by comparing temperature changes under two conditions: natural convection and forced convection using airflow from a fan.
The experiment was conducted by heating an aluminum plate and measuring its surface temperature at one-minute intervals over a period of five minutes. The collected data were used to determine the convection heat transfer coefficient (h) and the rate of heat transfer (q) based on Newton’s Law of Cooling. The results show that forced convection provides a higher heat transfer coefficient (50 W/m²·K) compared to natural convection (20 W/m²·K), resulting in a faster temperature decrease. The maximum heat transfer rate was observed at the initial time, reaching 0.95 W for forced convection and 0.40 W for natural convection, with both values decreasing over time as the temperature difference diminished.
These findings confirm that airflow significantly enhances heat transfer performance by increasing the convection coefficient. However, natural convection remains a viable passive cooling method due to its energy efficiency, as it does not require additional energy input. The study highlights the potential application of natural cooling in industrial machinery to support green industry initiatives by reducing energy consumption. With proper design optimization, natural cooling systems can contribute to sustainable and energy-efficient thermal management solutions
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