Abstract
In this paper, a 2.5-D multilayer model was used to optimise an industrial switchgear busbar system using electromagnetic (EMAG) solutions. Moreover, the optimised design was verified by the two-way coupled CFD-EMAG model which included 3-D geometry. The 2.5-D multilayer approach allowed the robustness of the whole optimisation process to be increased, whereas the coupled EMAG-CFD computation provided the necessary information regarding the temperature field. The genetic algorithm was employed in the optimisation procedure to simultaneously minimise the conductors' cross-section area and the power losses. Therefore, to obtain the unique solution, two objective functions (OFs) with different weights were used. Then the optimised cross-sections from the 2.5-D model were translated into a 3-D busbar system to verify the final temperature for the new design. As a result of the study the new busbar system was proposed. In comparison to the initial design, the copper weight was reduced by 4.5%, whereas the average busbar temperature increase was only 2 to 3 K.
| Original language | English |
|---|---|
| Pages (from-to) | 147-155 |
| Number of pages | 9 |
| Journal | Applied Thermal Engineering |
| Volume | 101 |
| DOIs | |
| Publication status | Published - 25 May 2016 |
Keywords
- Busbar system
- Coupled model
- Genetic algorithm
- Multilayer model
- Optimisation
- Switchgear
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Mechanical Engineering
- Fluid Flow and Transfer Processes
- Industrial and Manufacturing Engineering
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