2022
DOI: 10.1002/tee.23568
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Structure Parameters Optimization of the Rain Cover and Ventilation Duct of Dry Air Core Reactor under the Forced Air Cooling Condition

Abstract: In this paper, the three-dimensional fluid field-temperature field coupled model of air core reactor is established, the detailed temperature field distributions of reactor can be obtained, and the reason about the temperature rise of reactor is significant increased when adding the rain cover is given by analyzing the flow velocity of fluid in the air ducts. Considering the natural air cooling no longer meets the temperature rise requirement of the reactor, the forced air cooling is performed by installing ve… Show more

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Cited by 3 publications
(1 citation statement)
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“…A thermal load optimization technique based on the heat dissipation characteristics of the encapsulations of the air-core reactor is introduced in [18] to enhance metal conductor utilization, whereby a fluid-thermal coupled FEM model is built to obtain detailed temperature field distribution results. The structure parameters of rain cover and the ventilation duct of the air-core reactor under forced air cooling are optimized based on a quantum genetic algorithm, with a fluid field-temperature coupled FEM model established to estimate the temperature distribution in [19]. A thermal efficiency optimization method using a dry-type core reactor based on the particle swarm optimization algorithm is proposed in [20].…”
Section: Introductionmentioning
confidence: 99%
“…A thermal load optimization technique based on the heat dissipation characteristics of the encapsulations of the air-core reactor is introduced in [18] to enhance metal conductor utilization, whereby a fluid-thermal coupled FEM model is built to obtain detailed temperature field distribution results. The structure parameters of rain cover and the ventilation duct of the air-core reactor under forced air cooling are optimized based on a quantum genetic algorithm, with a fluid field-temperature coupled FEM model established to estimate the temperature distribution in [19]. A thermal efficiency optimization method using a dry-type core reactor based on the particle swarm optimization algorithm is proposed in [20].…”
Section: Introductionmentioning
confidence: 99%