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Team 01

Team Members

Faculty Advisor

Julian Pojano
Moera Kamimura
Adam Skarre

Georges Pavlidis

Sponsor

ABB

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Electrical Enclosure Temperature Prediction Project

The objective of this project is to develop a reliable temperature prediction model for ABB’s electrical enclosures. The model aims to evaluate how internal heat generation, ambient conditions, and the presence or absence of louvers influence overall thermal performance and component reliability. Electrical enclosures protect sensitive components from environmental exposure but can accumulate heat during operation. Louvers are often used to promote natural convection and reduce internal temperatures. However, their impact depends on placement, geometry, and external conditions, and accurately predicting thermal behavior – with and without louvres – has become increasingly important for safe and efficient operation. While ABB has effective design methods for electrical enclosures, the detailed influence of louver configurations on internal airflow and temperature distribution is not yet fully characterized. The combined effects of conduction, radiation, and natural convection within louvered enclosures are complex, and further analysis is needed to refine predictive accuracy for various operating conditions. A computational model will be created to simulate thermal behavior of enclosures with varying louver designs and working environments. The predictions will then be verified through experiments in ABB’s lab to ensure accuracy and inform future design improvements.