Abstract
The lifetime and reliability of power transformers
are primarily dependent on the hot-spot temperature in the
windings, as temperature is the most important factor
determining the insulation degradation rate. Key to removing
the heat from the transformer is the radiator which must be
carefully designed to keep the temperatures within limits under
all operating conditions whilst minimizing the transformer size,
weight and cost. This paper compares the analytical method
used to predict the radiator performance with computational
fluid dynamics (CFD) models in terms of heat dissipation. It is
found that the analytical method and CFD models give similar
results in the air natural (AN) cooling modes, whereas the
analytical method overestimates the heat dissipation in the air
forced (AF) cooling modes. Moreover, the thermal conduction
effect in the radiator wall is investigated under different
operating conditions and for different radiator sizes using the
CFD models. The simulation results indicate that the radiator
wall contributes to 6%-10% of the total heat dissipation under
some circumstances and therefore should not be simply ignored
in radiator models.
are primarily dependent on the hot-spot temperature in the
windings, as temperature is the most important factor
determining the insulation degradation rate. Key to removing
the heat from the transformer is the radiator which must be
carefully designed to keep the temperatures within limits under
all operating conditions whilst minimizing the transformer size,
weight and cost. This paper compares the analytical method
used to predict the radiator performance with computational
fluid dynamics (CFD) models in terms of heat dissipation. It is
found that the analytical method and CFD models give similar
results in the air natural (AN) cooling modes, whereas the
analytical method overestimates the heat dissipation in the air
forced (AF) cooling modes. Moreover, the thermal conduction
effect in the radiator wall is investigated under different
operating conditions and for different radiator sizes using the
CFD models. The simulation results indicate that the radiator
wall contributes to 6%-10% of the total heat dissipation under
some circumstances and therefore should not be simply ignored
in radiator models.
| Original language | English |
|---|---|
| Title of host publication | 8th International Conference on Condition Monitoring and Diagnosis (CMD 2020) |
| Publication status | Accepted/In press - 31 Jul 2020 |
| Event | 8th International Conference on Condition Monitoring and Diagnosis - , Thailand Duration: 25 Oct 2020 → 28 Oct 2020 |
Conference
| Conference | 8th International Conference on Condition Monitoring and Diagnosis |
|---|---|
| Abbreviated title | CMD 2020 |
| Country/Territory | Thailand |
| Period | 25/10/20 → 28/10/20 |