2016
DOI: 10.1016/j.applthermaleng.2016.05.101
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Numerical simulation and experimental study on ventilation system for powerhouses of deep underground hydropower stations

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Cited by 26 publications
(11 citation statements)
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“…(3), (4), (5) (Brum et al 2019). As for the turbulence model of airflow, the RNG k−E model was employed in this study for its clear advantage in predicting near-wall flow and low Reynolds number flows and excellent performance in both accuracy and efficiency (Liu et al 2016).…”
Section: Model Of Heat Transfer Between Airflow and Rock In Minementioning
confidence: 99%
“…(3), (4), (5) (Brum et al 2019). As for the turbulence model of airflow, the RNG k−E model was employed in this study for its clear advantage in predicting near-wall flow and low Reynolds number flows and excellent performance in both accuracy and efficiency (Liu et al 2016).…”
Section: Model Of Heat Transfer Between Airflow and Rock In Minementioning
confidence: 99%
“…(1) A non-slip stationary wall boundary is applied to the cavern surface, heading face and air duct surface, and the standard wall function method is used. The roughness constant (Cs) is set as 0.57 and the equivalent sand-grain roughness height (Ks) is used for roughness height, Ks = 0.07 m [29]. The distance from point P in the first near-wall cell to the wall (yp) is 0.52 m. (2) The outlet of the air duct is considered to be a velocity-inlet with an airflow velocity of 15 m/s in Figure 5a.…”
Section: Boundary Conditionsmentioning
confidence: 99%
“…According to the actual project situation, there are three types of boundary conditions in the simulations: wall, inlet and outlet [27][28][29]. (1) A non-slip stationary wall boundary is applied to the cavern surface, heading face and air duct surface, and the standard wall function method is used.…”
Section: Boundary Conditionsmentioning
confidence: 99%
“…By considering the daily measured parameters of the thermal comfort of the uphole environment, the value of the thermal comfort of the downhole environment is simulated during the day and in each optimization cycle [20]. Numerical simulations are conducted in Fluent to investigate the temperature field and wind speed field at different heights of the underground roadway and to implement the dynamic regulation of the dynamic control of the underground roadway [21][22][23][24].…”
Section: Introductionmentioning
confidence: 99%