Figure 5 - uploaded by Jonathan Fahlbeck
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Valve opening v (values at left axis) and loss coefficient k valve (values at right axis) as a function of time. Full operational sequence (left plot) and zoomed views of the smoothed parts of the operational sequence at 10 s (small upper right plot) and at 18 s (small lower right plot). The valve is fully open at 250 mm, and closed at 0 mm.

Valve opening v (values at left axis) and loss coefficient k valve (values at right axis) as a function of time. Full operational sequence (left plot) and zoomed views of the smoothed parts of the operational sequence at 10 s (small upper right plot) and at 18 s (small lower right plot). The valve is fully open at 250 mm, and closed at 0 mm.

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Article
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Despite the increase in computational power of HPC clusters, it is in most cases not possible to include the entire hydraulic system when doing detailed numerical studies of the flow in one of the components in the system. The numerical models are still most often constrained to a small part of the system and the boundary conditions may in many cas...

Contexts in source publication

Context 1
... a minimum valve opening of 2 mm is used in the simulation. This gives the largest value of the dynamic minor loss coefficient, k valve (2) ≈ 4.3 × 10 4 , as shown by the k valve in Figure 5. The valve opening curve in Figure 5 (left) has a smooth transition at times 10 s (small upper right plot) and at 18 s (small lower right plot) for numerical stability, which yields a corresponding smooth transition for the minor loss variation. ...
Context 2
... gives the largest value of the dynamic minor loss coefficient, k valve (2) ≈ 4.3 × 10 4 , as shown by the k valve in Figure 5. The valve opening curve in Figure 5 (left) has a smooth transition at times 10 s (small upper right plot) and at 18 s (small lower right plot) for numerical stability, which yields a corresponding smooth transition for the minor loss variation. The discharge into the upstream tank ( 2 O in Figure 3) remained constant at 50 l/s during the entire sequence. ...

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... The flow rate is thus part of the solution. The inlet and outlet boundary conditions for pressure is handled with the novel headLossPressure boundary condition developed by Fahlbeck et al. [21]. This special boundary condition allows the user to specify the head of the system and it also considers head losses up-and downstream of the computational domain. ...
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A larger part of the electricity is today from intermittent renewable sources of energy. However, the energy production from such sources varies in time. Energy storage is one solution to compensate for this variation. Today pumped hydro storage (PHS) is the most common form of energy storage. Usually, it requires a large head, which limits where it can be built. In the EU project ALPHEUS, PHS technologies for low- to ultra-low heads are explored. One of the concepts is a contra-rotating pump-turbine (CRPT). The behaviour of this design at time-varying load conditions is today scarce. In the present work, the impact of the startup time for a CRPT is analysed through computational fluid dynamics (CFD) simulations. The analysis includes a comparison between a coarse and a fine CFD model. The coarse model produces acceptable results and is 50 times cheaper, this model is thus used to assess the startup time. It is found that longer startup times generate lesser loads and peak values. A startup time of 10 s may be a sufficient alternative as the peak loads are heavily reduced compared to faster startups. Furthermore, there is not much difference between a startup time of 20–30 s.