A predicting model of PaTs' performance in off-design operating conditions. (February 2019)
- Record Type:
- Journal Article
- Title:
- A predicting model of PaTs' performance in off-design operating conditions. (February 2019)
- Main Title:
- A predicting model of PaTs' performance in off-design operating conditions
- Authors:
- Rossi, Mosè
Nigro, Alessandra
Renzi, Massimiliano - Abstract:
- Abstract: The aim of this work is to propose a predicting model for evaluating Pump-as-Turbines' (PaTs) performance in off-design operating conditions. The predicting model has been derived from an elaboration of experimental test data available in literature on a set of several pumps operating in reverse mode. The performance prediction capability of the model has been compared with the results of the Computational Fluid Dynamics (CFD) analysis of a centrifugal pump running in turbine mode for several operating conditions. The comparison of the performance predicted by the model and the ones obtained with the numerical analysis has allowed to evaluate the effectiveness of the proposed model, highlighting its pros and cons and possible improvements. In general, it is possible to conclude that the proposed model is able to correctly assess the work and the efficiency of the studied PaT within errors in the range of few percentage points, especially for operating conditions not so far from the designed one.
- Is Part Of:
- Energy procedia. Volume 158(2019)
- Journal:
- Energy procedia
- Issue:
- Volume 158(2019)
- Issue Display:
- Volume 158, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 158
- Issue:
- 2019
- Issue Sort Value:
- 2019-0158-2019-0000
- Page Start:
- 123
- Page End:
- 128
- Publication Date:
- 2019-02
- Subjects:
- Centrifugal pump -- Pump-as-Turbine -- Best Efficiency Point -- Performance prediction -- Computational Fluid Dynamics
Power resources -- Congresses
Power resources -- Periodicals
Power resources
Conference proceedings
Periodicals
333.7905 - Journal URLs:
- http://www.sciencedirect.com/science/journal/18766102 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.egypro.2019.01.056 ↗
- Languages:
- English
- ISSNs:
- 1876-6102
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.729700
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British Library HMNTS - ELD Digital store - Ingest File:
- 12395.xml