Experimental and numerical assessment of a methodology for performance prediction of Pumps-as-Turbines (PaTs) operating in off-design conditions

Nigro, Alessandra; Rossi, Mosé

doi:10.1016/j.apenergy.2019.04.123

Cited by 61 publications

(52 citation statements)

References 30 publications

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“…where D is the impeller diameter in m, g is the gravity constant in m/s 2 , P t is the shaft power in the PAT, η t is the efficiency of the PAT and n is the rotational speed in rps. Different authors proposed empirical expressions using different numbers of experimental data, and therefore, they got different accuracy degrees in their proposals [12,31,35,36]. The expression considers the ratios H t /H t,BEP , Q t /Q t,BEP and P t /P t,BEP .…”

Section: Estimation Of the Head-discharge And Efficiency Curves Consimentioning

confidence: 99%

Improved Planning of Energy Recovery in Water Systems Using a New Analytic Approach to PAT Performance Curves

Sánchez

Sánchez‐Romero

Ramos

et al. 2020

Water

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The use of pumps working as turbines (PATs) to improve the energy efficiency of water networks has been studied in the last years. This recovery system is justified due to a low investment contrasting with the capacity to take advantage in certain points with low and medium recoverable heads. Analyses of water systems using simulation software and/or optimization algorithms need the characteristic curves (head and efficiency) of the machines, which should be known with minor error by the water managers. The knowledge of the best efficiency point (BEP) as a turbine is one of the major limitations when the user wants to choose PATs. In this sense, the present research defines new approach equations to estimate the BEP of the PAT, as well as to predict the characteristic curves, comparing the results with the rest of the published methods. The comparison demonstrated that the new proposal reduced the error indexes, improved the R 2 and increased the accuracy of the error ellipse using an experimental database of 181 different PATs.Water 2020, 12, 468 2 of 18 enable to quantify the recovered energy, and therefore, the improvement of the sustainability in the water systems [10][11][12].Although there are different methods to approach tasks (ii) and (iii) described in the previous paragraph, the majority of them use a low number of experimental data, and therefore, the committed error is high [13,14]. In this research line, the present research is focused on establishing a new analytical approach, to improve the prediction of the PAT parameters and on the simulation and energy analyses of the water systems. The research contains a deep review of experimental data of PATs that were already published (Figure 1). The database contains a high number of experimental uses; particularly, the research used 181 different PATs, 60% higher than previous studies [12]. The specific speed of the used machine was between 5.09 and 219.09 (m, kW).Water 2020, 12, 468 2 of 16Although there are different methods to approach tasks (ii) and (iii) described in the previous paragraph, the majority of them use a low number of experimental data, and therefore, the committed error is high [13,14]. In this research line, the present research is focused on establishing a new analytical approach, to improve the prediction of the PAT parameters and on the simulation and energy analyses of the water systems. The research contains a deep review of experimental data of PATs that were already published (Figure 1). The database contains a high number of experimental uses; particularly, the research used 181 different PATs, 60% higher than previous studies [12]. The specific speed of the used machine was between 5. 09 and 219.09 (m, kW)

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Section: Estimation Of the Head-discharge And Efficiency Curves Consimentioning

confidence: 99%

Improved Planning of Energy Recovery in Water Systems Using a New Analytic Approach to PAT Performance Curves

Sánchez

Sánchez‐Romero

Ramos

et al. 2020

Water

View full text Add to dashboard Cite

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“…The definition of the PaT BEP is not enough to characterize the behavior of this hydraulic machine when dealing with off-design operating conditions. For this reason, the model used to predict the characteristic curves of PaTs is based on previous work by Rossi et al [21], to which the reader is referred for further information.…”

Section: Characteristic Curves In Turbine Modementioning

confidence: 99%

“…Equation (9) represents the nondimensional characteristic curve (flow coefficient φ vs. head coefficient ψ), while Equation (10) describes the efficiency curve (flow coefficient φ vs. mechanical efficiency η). Both of them are extensively described in [21]. For clarity, flow coefficient φ, head coefficient ψ, and mechanical efficiency η were evaluated through Equations (6)…”

Section: Characteristic Curves In Turbine Modementioning

confidence: 99%

“…Nowadays, Computational Fluid Dynamics (CFD) simulations play a key role to predict and investigate both the performance and internal fluid behavior of PaTs. CFD models have been used to simulate the operation of PaTs in both pump and turbine modes, which were subsequently validated through experimental tests in order to prove their effectiveness [21,22]. However, one of the biggest issues related to CFD simulations of pumps and PaTs is the correct and reliable generation of a 3D CAD geometry.…”

Section: Introductionmentioning

confidence: 99%

“…Section 3 presents a model used to select a PaT suitable for the analyzed branch [36]. In addition, PaT performance was investigated through the model presented and validated by Rossi et al [21]. The MATLAB©-Simulink model is also described in detail in this section, focusing attention on the main blocks employed in its development.…”

Section: Introductionmentioning

confidence: 99%

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Speed and Pressure Controls of Pumps-as-Turbines Installed in Branch of Water-Distribution Network Subjected to Highly Variable Flow Rates

et al. 2019

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The use of Pumps-as-Turbines (PaTs) to replace hydraulic turbines as energy-recovery units in industrial and civil applications is widening the penetration of hydropower in small-scale plants. PaTs show advantages in terms of installation costs and the availability of solutions. Water Distribution Networks (WDNs) represent a potential application where PaTs can be installed to recover water-pressure energy. In this work, a MATLAB©-Simulink model of a WDN branch located in South-Tyrol (Italy) was developed. The flow rate of the WDN was assessed though a measurement campaign showing high daily variability, which negatively affect PaT performance. To let the machine operate close to the Best Efficiency Point (BEP), four different operating strategies were studied to meet the constraint of a fixed pressure equal to 4 bar downstream the WDN branch, required to supply water to users. A PaT speed control strategy was implemented, granting better exploitation of flow rates even in the presence of high daily fluctuations. Energy recovery was 23% higher than that of the reference thanks to an advanced strategy based on controlling PaT rotational speed when the flow rate is smaller than that of the design, and operating in off-design conditions when flow rate is higher than that of the BEP.

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Predicting Pumps-as-Turbine Characteristics with the Use of Machine Learning Applications

Brisbois

Dziedzic

2023

Lecture Notes in Civil Engineering

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Experimental and numerical assessment of a methodology for performance prediction of Pumps-as-Turbines (PaTs) operating in off-design conditions

Cited by 61 publications

References 30 publications

Improved Planning of Energy Recovery in Water Systems Using a New Analytic Approach to PAT Performance Curves

Improved Planning of Energy Recovery in Water Systems Using a New Analytic Approach to PAT Performance Curves

Speed and Pressure Controls of Pumps-as-Turbines Installed in Branch of Water-Distribution Network Subjected to Highly Variable Flow Rates

Predicting Pumps-as-Turbine Characteristics with the Use of Machine Learning Applications

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