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A Performance Prediction Model for Pumps as Turbines (PATs)

doi: 10.3390/w12041175
handle: 11588/818036 , 11367/83268 , 11695/92323
A Performance Prediction Model for Pumps as Turbines (PATs)
In recent years, the interest towards the use of pumps operating as turbines (PATs) for the generation of electrical energy has increased, due to the low cost of implementation and maintenance. The main issue that inhibits a wider use of PATs is the lack of corresponding characteristic curves, because manufacturers usually provide only the pump-mode performance characteristics. In the PAT selection phase, the lack of turbine-mode characteristic curves forces users to expend expensive and time-consuming efforts in laboratory testing. In the technical literature, numerous methods are available for the prediction of PAT turbine-mode performance based on the pump-mode characteristics, but these models are usually calibrated making use of few devices. To overcome this limit, a performance database called Redawn is presented and the data collected are used to calibrate novel PAT performance models.
- University Federico II of Naples Italy
- Parthenope University of Naples Italy
- University of Molise Italy
- University of Molise Italy
Water supply for domestic and industrial purposes, energy recovery, Pumps as Turbine, Hydraulic engineering, performance prediction, best efficiency performances, hydropower, Pumps as Turbine, energy recovery, performance prediction, best efficiency performances, experimental database, water distribution network, hydropower, experimental database, water distribution network, European Regional Development Fund, TC1-978, TD201-500
Water supply for domestic and industrial purposes, energy recovery, Pumps as Turbine, Hydraulic engineering, performance prediction, best efficiency performances, hydropower, Pumps as Turbine, energy recovery, performance prediction, best efficiency performances, experimental database, water distribution network, hydropower, experimental database, water distribution network, European Regional Development Fund, TC1-978, TD201-500
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