Improvement of performance prediction methods for selecting pump as turbine in micro hydropower systems

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Date
2019
Journal Title
Journal ISSN
Volume Title
Publisher
University of Dar es Salaam
Abstract
Even though pumprunning in a reverse direction as a turbine to generate mechanical rotational energy is a more than 50-year-old concept, the technology development is still growing and more pumps are being installed on the micro hydropower scales. This study assessed four technological developments, which included pump component modification, internal flow characteristics, control mechanism, and conversion methods. The constructed open-circuit test rig indicated the first pump of specific 57.7 rpmhas a head of 5.9 m and flow rate of 34.14 l/s with the maximum efficiency of 60%. The second pump of specific speed of 27.6 rpm indicated the performance characteristic ratios in turbine mode over pump mode in terms of head, flow rate and efficiency are 2.106, 1.448 and 0.941; respectively. Both the experimental result and literature data indicated the pump designed point is easier to change when running in turbine mode that makes the difficulties during off-the-shelf pump selection. However, the use of conversion methods to select the off-the-shelf pumps contains numerous inaccuracies and do not provide an acceptable prediction coefficient of head and flow rate. This study used the velocity relations of pump geometrical shape and site conditions related to head and flow rate to develop the Analytical Model Equation (AME). The improvement of performance prediction method was obtained by applying differential calculus technique to AME and it resulted inanalytical head ratio and flow rate ratio equations. The derivative results of AME indicated the coefficient of determination (R2) of greater than 0.9 when compared together conversion method sat the 95% confidence level. Also, the prediction coefficient equation was developed when combined with the derivative results of AME and tested with pumps of specific speed ranging from 9.08 to 94.4 rpm. The AME coefficient is equal to 1 when deduced from the minimum head ratio and flow rate ratio of one and extended between -4 and +4 as varying the head ratio and flow rate ratio. Therefore, the prediction coefficient equation would be used to define the acceptable prediction range of head and flow rate that has been predicted by conversion methods.
Description
Available in print form, East Africana Collection, Dr. Wilbert Chagula Library, Class mark (THS EAF TJ 870.T34M433)
Keywords
Hydrautic turbines, Pump turbines, Hydropower Systems, Performance
Citation
Mdee, Ombeni John (2019) Improvement of performance prediction methods for selecting pump as turbine in micro hydropower systems, Doctoral dissertation, University of Dar es Salaam
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