The hydropower sector is moving to the small-scale generation due to the exploitation of the majority water reservoirs with the aim of providing electrical energy in rural zones. Pump-as-Turbines (PaTs) is one of the most interesting technology due to their use for recovering energy in different industrial applications. Several studies aimed to study the performance of the tested PaTs and to describe their performance curves. The efficiency of these machines at their Best Efficiency Point (BEP) is comparable as much as the pump mode. In this work, a general analytical method for forecasting PaTs performance in turbine mode was investigated.
Analytical Prediction Models for Evaluating Pumps-As-Turbines (PaTs) Performance / Rossi, M.; Renzi, M.. - In: ENERGY PROCEDIA. - ISSN 1876-6102. - 118:(2017), pp. 238-242. (Intervento presentato al convegno 2nd International Conference on Advances on Clean Energy Research, ICACER 2017 tenutosi a deu nel 2017) [10.1016/j.egypro.2017.07.011].
Analytical Prediction Models for Evaluating Pumps-As-Turbines (PaTs) Performance
Rossi M.
;
2017-01-01
Abstract
The hydropower sector is moving to the small-scale generation due to the exploitation of the majority water reservoirs with the aim of providing electrical energy in rural zones. Pump-as-Turbines (PaTs) is one of the most interesting technology due to their use for recovering energy in different industrial applications. Several studies aimed to study the performance of the tested PaTs and to describe their performance curves. The efficiency of these machines at their Best Efficiency Point (BEP) is comparable as much as the pump mode. In this work, a general analytical method for forecasting PaTs performance in turbine mode was investigated.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
