SUMMARY

The increasing demand for more electricity have brought about the need for improved rotor ventilation performances of the large industrial turbo-generators. Overheating in the rotor endturn region under the expected operating conditions is one of the major ventilation concern for the air-cooled machines, but a fast and accurate temperature monitoring method is not yet available. The rotor endturn coil temperature evaluations are currently heavily relied on the time-consuming computational fluid dynamics simulations, which posses difficulties in the rotor ventilation design. This presented work develops a fast-solving analytical predictor, which can estimate the rotor end-arc coil temperatures at the expected operating conditions. The developed analytical predictor is aimed to be able to estimate end-arc coil temperature within ±5 degrees of Celsius error.