title: ÐÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ°Ð·Ð³Ð¾Ð½Ð½ÑÑ Ñ Ð°ÑÐ°ÐºÑÐµÑÐ¸ÑÑÐ¸Ðº Ð¿Ð¾Ð²Ð¾ÑÐ¾ÑÐ½Ð¾-Ð»Ð¾Ð¿Ð°ÑÑÐ½Ð¾Ð¹ Ð³Ð¸Ð´ÑÐ¾ÑÑÑÐ±Ð¸Ð½Ñ Ð¼ÐµÑÐ¾Ð´Ð°Ð¼Ð¸ CDF Ð°Ð½Ð°Ð»Ð¸Ð·Ð°
title: Prediction of runaway characteristics of kaplan turbines using methods of CFD analysis
Creators: name: Ð¡ÐµÐ¼ÐµÐ½Ð¾Ð²Ð°, ÐÐ»ÐµÐºÑÐ°Ð½Ð´ÑÐ°
name: Ð§Ð¸ÑÐºÐ¾Ð², ÐÐµÐ½Ð¸Ñ
name: Ð£ÑÑÐ¸Ð¼ÐµÐ½ÐºÐ¾, ÐÐ»ÐµÐºÑÐ°Ð½Ð´Ñ
name: "ÐÐ¸Ð´ÑÐ°Ð²Ð»Ð¸ÑÐµÑÐºÐ¸Ðµ Ð¼Ð°ÑÐ¸Ð½Ñ, Ð³Ð¸Ð´ÑÐ¾Ð¿ÑÐ¸Ð²Ð¾Ð´Ñ Ð¸ Ð³Ð¸Ð´ÑÐ¾Ð¿Ð½ÐµÐ²Ð¼Ð¾Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÐºÐ°. Ð¡Ð¾Ð²ÑÐµÐ¼ÐµÐ½Ð½Ð¾Ðµ ÑÐ¾ÑÑÐ¾ÑÐ½Ð¸Ðµ Ð¸ Ð¿ÐµÑÑÐ¿ÐµÐºÑÐ¸Ð²Ñ ÑÐ°Ð·Ð²Ð¸ÑÐ¸Ñ", Ð¼ÐµÐ¶Ð´ÑÐ½Ð°ÑÐ¾Ð´Ð½Ð°Ñ Ð½Ð°ÑÑÐ½Ð¾-ÑÐµÑ Ð½Ð¸ÑÐµÑÐºÐ°Ñ ÐºÐ¾Ð½ÑÐµÑÐµÐ½ÑÐ¸Ñ (2020; Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³)
Publisher: name: ÐÐÐÐÐ¢ÐÐ¥-ÐÐ ÐÐ¡Ð¡
Year: 2020
Subjects: ÐÐ¸Ð´ÑÐ¾ÑÑÑÐ±Ð¸Ð½Ñ

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description: In case of disconnection of generator from the network and failure of the governor, the rotational speed of the rotor rapidly increases and achieves maximum value, called the runaway speed. Knowledge of this value is required for stress analysis of the components of the runner, other rotating parts connected with the shaft and stress analysis of the generator rotor. At the present moment the runaway characteristics, i.e. runaway speed vs. turbine operating condition is obtained at the stage of model tests. Prediction of the runaway speed at the stage of runner design would allow to select a runner considering this characteristic and to guarantee fulfilment of the contract requirements. Given in this paper is the numerical computation of the runaway speed for a Kaplan turbine. Two approaches for numerical simulation were compared. In the first one, the flow in the turbine was simulated using 3D RANS equations of incompressible fluid. In the second approach, cavitation phenomena were taken into account using two-phase Zwart-Gerber-Belamri cavitation model. The computed runaway speed is compared to that obtained in the model tests. It is shown that the numerical prediction of the runaway speed using the cavitation model achieves better matching with the experimental data.