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Research Article

Development of single point prediction model using artificial neural network and experimental validation for pump as turbine applications

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Article: 2316778 | Received 06 Mar 2023, Accepted 05 Feb 2024, Published online: 23 Feb 2024

References

  • Ali-Ou-Salah, Hamza, Benyounes Oukarfi, and Tlemcani Mouhaydine. 2022. “Short-Term Solar Radiation Forecasting Using a New Seasonal Clustering Technique and Artificial Neural Network.” International Journal of Green Energy 19 (4): 424–434. https://doi.org/10.1080/15435075.2021.1946819.
  • Anderson, James A. 1995. An Introduction to Neural Networks. 3rd printing. Cambridge, MA: MIT press.
  • Barbarelli, S., M. Amelio, and G. Florio. 2017a. “Experimental Activity at Test Rig Validating Correlations to Select Pumps Running as Turbines in Microhydro Plants.” Energy Conversion and Management 149: 781–797. https://doi.org/10.1016/j.enconman.2017.03.013.
  • Barbarelli, S., M. Amelio, G. Florio, and N. M. Scornaienchi. 2017b. “Procedure Selecting Pumps Running as Turbines in Micro Hydro Plants.” Energy Procedia 126: 549–556. https://doi.org/10.1016/j.egypro.2017.08.282.
  • Binama, Maxime, Wen Tao Su, Xiao bin Li, Feng Chen Li, Xian Zhu Wei, and Shi An. 2017. “Investigation on Pump as Turbine (PAT) Technical Aspects for Micro Hydropower Schemes: A State-of-the-Art Review.” Renewable and Sustainable Energy Reviews 79: 148–179. https://doi.org/10.1016/j.rser.2017.04.071.
  • Biswas, A., S. Sarkar, and R. Gupta. 2016. “Application of Artificial Neural Network for Performance Evaluation of Vertical Axis Wind Turbine Rotor.” International Journal of Ambient Energy 37 (2): 209–218. https://doi.org/10.1080/01430750.2014.915889.
  • Chauhan, Rishika, Pankaj Dumka, and Dhananjay R. Mishra. 2022. “Modelling Conventional and Solar Earth Still by Using the LM Algorithm-Based Artificial Neural Network.” International Journal of Ambient Energy 43 (1): 1389–1396. https://doi.org/10.1080/01430750.2019.1707113.
  • Derakhshan, Shahram, and Ahmad Nourbakhsh. 2008. “Experimental Study of Characteristic Curves of Centrifugal Pumps Working as Turbines in Different Specific Speeds.” Experimental Thermal and Fluid Science 32 (3): 800–807. https://doi.org/10.1016/j.expthermflusci.2007.10.004.
  • Doshi, Ashish. 2016. “Influence of Inlet Impeller Rounding and the Shape of Non-Flow Zones on the Performance of Centrifugal Pump As Turbine.” PhD Thesis, Sardar Vallabhbhai National Institute of Technology Surat.
  • Doshi, Ashish, Salim Channiwala, and Punit Singh. 2017. “Inlet Impeller Rounding in Pumps as Turbines: An Experimental Study to Investigate the Relative Effects of Blade and Shroud Rounding.” Experimental Thermal and Fluid Science 82: 333–348. https://doi.org/10.1016/j.expthermflusci.2016.11.024.
  • Frosina, Emma, Dario Buono, and Adolfo Senatore. 2017. “A Performance Prediction Method for Pumps as Turbines (PAT) Using a Computational Fluid Dynamics (CFD) Modeling Approach.” Energies 10 (1): 1–19. https://doi.org/10.3390/en10010103.
  • Ganesan, P., S. Jenifer Rathna, and R. Saidur. 2021. “Application of Artificial Neural Network to Map the Performance Characteristics of Boiler Using Different Algorithms.” International Journal of Green Energy 18 (11): 1091–1103. https://doi.org/10.1080/15435075.2021.1891908.
  • Giosio, D. R., A. D. Henderson, J. M. Walker, P. A. Brandner, J. E. Sargison, and P. Gautam. 2015. “Design and Performance Evaluation of a Pump-as-Turbine Micro-Hydro Test Facility with Incorporated Inlet Flow Control.” Renewable Energy 78: 1–6. https://doi.org/10.1016/j.renene.2014.12.027.
  • Han, Wei, Lingbo Nan, Min Su, Yu Chen, Rennian Li, and Xuejing Zhang. 2019. “Research on the Prediction Method of Centrifugal Pump Performance Based on a Double Hidden Layer BP Neural Network.” Energies 12 (14): 1–14. https://doi.org/10.3390/en12142710.
  • Huang, Si, Guangqi Qiu, Xianghui Su, Junrong Chen, and Wenlang Zou. 2017. “Performance Prediction of a Centrifugal Pump as Turbine Using Rotor-Volute Matching Principle.” Renewable Energy 108: 64–71. https://doi.org/10.1016/j.renene.2017.02.045.
  • Jain, Sanjay V., Abhishek Swarnkar, Karan H. Motwani, and Rajesh N. Patel. 2015. “Effects of Impeller Diameter and Rotational Speed on Performance of Pump Running in Turbine Mode.” Energy Conversion and Management 89: 808–824. https://doi.org/10.1016/j.enconman.2014.10.036.
  • Kline, S. J., and F. A. McClintock. 1953. “Describing Uncertainties in Single-Sample Experiments.” Mechanical Engineering 75: 3–8.
  • Li, Wen Guang. 2017. “Optimising Prediction Model of Centrifugal Pump as Turbine with Viscosity Effects.” Applied Mathematical Modelling 41: 375–398. https://doi.org/10.1016/j.apm.2016.09.002.
  • Liu, Ming, Lei Tan, and Shuliang Cao. 2019. “Theoretical Model of Energy Performance Prediction and BEP Determination for Centrifugal Pump as Turbine.” Energy 172: 712–732. https://doi.org/10.1016/j.energy.2019.01.162.
  • Nash, J. E., and J. V. Sutcliffe. 1970. “River Flow Forecasting Through Conceptual Models Part I - A Discussion of Principles.” Journal of Hydrology 10 (3): 282–290. https://doi.org/10.1016/0022-1694(70)90255-6
  • Nautiyal, Himanshu, Varun Goel, and Anoop Kumar. 2010. “Reverse Running Pumps Analytical, Experimental and Computational Study: A Review.” Renewable and Sustainable Energy Reviews 14 (7): 2059–2067. https://doi.org/10.1016/j.rser.2010.04.006.
  • Nautiyal, Himanshu, Varun Goel, Anoop Kumar, and Sanjay Yadav. 2011. “Experimental Investigation of Centrifugal Pump Working as Turbine for Small Hydropower Systems.” Energy Science and Technology 1 (1): 79–86. https://doi.org/10.3968/j.est.1923847920110101.006.
  • Ogueke, N. V., I. I. Ikpamezie, and E. E. Anyanwu. 2016. “The Potential of a Small Hydro/Photovoltaic Hybrid System for Electricity Generation in FUTO, Nigeria.” International Journal of Ambient Energy 37 (3): 256–265. https://doi.org/10.1080/01430750.2014.952841.
  • Ojha, Ashish. 2015. “Effect of Speed Variation on Performance of Pump in Forward and Reverse Mode.” M. Tech Thesis, Sardar Vallabhbhai National Institute of Technology.
  • Pugliese, Francesco, Francesco de Paola, Nicola Fontana, Maurizio Giugni, and Gustavo Marini. 2016. “Experimental Characterization of Two Pumps As Turbines for Hydropower Generation.” Renewable Energy 99: 180–187. https://doi.org/10.1016/j.renene.2016.06.051.
  • Pugliese, Francesco, Francesco de Paola, Nicola Fontana, Maurizio Giugni, and Gustavo Marini. 2018. “Performance of Vertical-Axis Pumps as Turbines.” Journal of Hydraulic Research 56 (4): 482–493. https://doi.org/10.1080/00221686.2017.1399932.
  • Renzi, Massimiliano, Alessandra Nigro, and Mosè Rossi. 2020. “A Methodology to Forecast the Main Non-Dimensional Performance Parameters of Pumps-as-Turbines (PaTs) Operating at Best Efficiency Point (BEP).” Renewable Energy 160: 16–25. https://doi.org/10.1016/j.renene.2020.05.165.
  • Renzi, Massimiliano, and Mosè Rossi. 2019. “A Generalized Theoretical Methodology to Forecast Flow Coefficient, Head Coefficient and Efficiency of Pumps-as-Turbines (PaTs).” Energy Procedia 158: 129–134. https://doi.org/10.1016/j.egypro.2019.01.057.
  • Rossi, Mosè, and Massimiliano Renzi. 2018. “A General Methodology for Performance Prediction of Pumps-as-Turbines Using Artificial Neural Networks.” Renewable Energy 128: 265–274. https://doi.org/10.1016/j.renene.2018.05.060.
  • Singh, Punit. 2005. “Optimization of Internal Hydraulics and of System Design for Pumps as Turbines with Field Implementation and Evaluation.” PhD Thesis, University of Fridericiana.
  • Singh, Punit, and Franz Nestmann. 2010. “An Optimization Routine on a Prediction and Selection Model for the Turbine Operation of Centrifugal Pumps.” Experimental Thermal and Fluid Science 34 (2): 152–164. https://doi.org/10.1016/j.expthermflusci.2009.10.004.
  • Singh, Punit, and Franz Nestmann. 2011. “Internal Hydraulic Analysis of Impeller Rounding in Centrifugal Pumps as Turbines.” Experimental Thermal and Fluid Science 35 (1): 121–134. https://doi.org/10.1016/j.expthermflusci.2010.08.013.
  • Sivanandam, S. N., and S. N. Deepa. 2007. Principles of Soft Computing (with CD). 1st ed. New Delhi: John Wiley & Sons.
  • Stefanizzi, M., M. Torresi, B. Fortunato, and S. M. Camporeale. 2017. “Experimental Investigation and Performance Prediction Modeling of a Single Stage Centrifugal Pump Operating as Turbine.” Energy Procedia 126: 589–596. https://doi.org/10.1016/j.egypro.2017.08.218.
  • Su, Xianghui, Si Huang, Yi Li, Zuchao Zhu, and Zhigang Li. 2017. “Numerical and Experimental Research on Multi-Stage Pump as Turbine System.” International Journal of Green Energy 14 (12): 996–1004. https://doi.org/10.1080/15435075.2017.1350961.
  • Tan, Xu, and Abraham Engeda. 2016. “Performance of Centrifugal Pumps Running in Reverse as Turbine: Part Ⅱ- Systematic Specific Speed and Specific Diameter Based Performance Prediction.” Renewable Energy 99: 188–197. https://doi.org/10.1016/j.renene.2016.06.052.
  • Telikani, Akbar, Mosé Rossi, Naghmeh Khajehali, and Massimiliano Renzi. 2023. “Pumps-as-Turbines’ (PaTs) Performance Prediction Improvement Using Evolutionary Artificial Neural Networks.” Applied Energy 330: 120316. https://doi.org/10.1016/j.apenergy.2022.120316.
  • Venturini, Mauro, Lucrezia Manservigi, Stefano Alvisi, and Silvio Simani. 2018. “Development of a Physics-Based Model to Predict the Performance of Pumps as Turbines.” Applied Energy 231: 343–354. https://doi.org/10.1016/j.apenergy.2018.09.054.
  • Wang, Tao, Chuan Wang, Fanyu Kong, Qiuqin Gou, and Sunsheng Yang. 2017. “Theoretical, Experimental, and Numerical Study of Special Impeller Used in Turbine Mode of Centrifugal Pump as Turbine.” Energy 130: 473–485. https://doi.org/10.1016/j.energy.2017.04.156.
  • Yang, Sun Sheng, Shahram Derakhshan, and Fan Yu Kong. 2012. “Theoretical, Numerical and Experimental Prediction of Pump as Turbine Performance.” Renewable Energy 48: 507–513. https://doi.org/10.1016/j.renene.2012.06.002.
  • Yang, Sun Sheng, Fan Yu Kong, Wan Ming Jiang, and Xiao Yun Qu. 2012a. “Effects of Impeller Trimming Influencing Pump as Turbine.” Computers and Fluids 67: 72–78. https://doi.org/10.1016/j.compfluid.2012.07.009.
  • Yang, S., F. Kong, W. Jiang, and X. Qu. 2012b. “Research on Rotational Speed to the Influence of Pump as Turbine.” IOP Conference Series: Earth and Environmental Science 15: 042023. https://doi.org/10.1088/1755-1315/15/4/042023.

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