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 de...
This paper presents the development of a physics-based simulation model, aimed at predicting the per...
Small and micro hydropower systems represent an attractive solution for generating electricity at lo...
Artificial Neural Networks (ANNs) are used in this work as a computational methodology to forecast b...
In recent years, the interest towards the use of pumps operating as turbines (PATs) for the generati...
The hydropower sector is moving to the small-scale generation due to the exploitation of the majorit...
In this work, an extensive assessment of a predicting model used to evaluate Pumps-as-Turbines’ (PaT...
The aim of this work is to propose a predicting model for evaluating Pump-as-Turbines' (PaTs) perfor...
This paper presents the development of a physics-based simulation model, aimed at predicting the per...
This work presents a model based on analytical equations to identify the Best Efficiency Point (BEP)...
This paper deals with the comparison of different methods which can be used for the prediction of th...
Pumps as turbines (PaTs) are becoming more and more attractive in Small Hydropower. PaTs are conside...
This paper compares different approaches aimed at predicting the performance curves of pumps as turb...
This paper presents the development of a physics-based simulation model, aimed at predicting the per...
Small and micro hydropower systems represent an attractive solution for generating electricity at lo...
Artificial Neural Networks (ANNs) are used in this work as a computational methodology to forecast b...
In recent years, the interest towards the use of pumps operating as turbines (PATs) for the generati...
The hydropower sector is moving to the small-scale generation due to the exploitation of the majorit...
In this work, an extensive assessment of a predicting model used to evaluate Pumps-as-Turbines’ (PaT...
The aim of this work is to propose a predicting model for evaluating Pump-as-Turbines' (PaTs) perfor...
This paper presents the development of a physics-based simulation model, aimed at predicting the per...
This work presents a model based on analytical equations to identify the Best Efficiency Point (BEP)...
This paper deals with the comparison of different methods which can be used for the prediction of th...
Pumps as turbines (PaTs) are becoming more and more attractive in Small Hydropower. PaTs are conside...
This paper compares different approaches aimed at predicting the performance curves of pumps as turb...
This paper presents the development of a physics-based simulation model, aimed at predicting the per...
Small and micro hydropower systems represent an attractive solution for generating electricity at lo...
Artificial Neural Networks (ANNs) are used in this work as a computational methodology to forecast b...