The paper is focused on the optimal scheduling of a drainage pumping station, complying with variations in the pump rotational speed and a recurrent pattern for the inflow discharge. The paper is structured in several consecutive steps. In the first step, the experimental set-up is described and results of calibration tests on different pumping machines are presented to obtain equations linking significant variables (discharge, head, power, efficiency). Then, those equations are utilized to build a mixed-integer optimization model able to find the scheduling solution that minimizes required pumping energy. The model is solved with respect to a case study referred to a urban drainage system in Naples (Italy) and optimization results are analysed to provide insights on the algorithm computational performance and on the influence of pumping machine characteristics on the overall efficiency savings. With reference to the simulated scenarios, an average value of 32% energy can be saved with an optimized control. Its actual value depends on the hydraulic characteristics of the system.

Optimal pump scheduling for urban drainage under variable flow conditions / Fecarotta, Oreste; Carravetta, Armando; Morani, Maria Cristina; Padulano, Roberta. - In: RESOURCES. - ISSN 2079-9276. - 7:4(2018), p. 73. [10.3390/resources7040073]

Optimal pump scheduling for urban drainage under variable flow conditions

Fecarotta, Oreste
;
Carravetta, Armando;Morani, Maria Cristina;Padulano, Roberta
2018

Abstract

The paper is focused on the optimal scheduling of a drainage pumping station, complying with variations in the pump rotational speed and a recurrent pattern for the inflow discharge. The paper is structured in several consecutive steps. In the first step, the experimental set-up is described and results of calibration tests on different pumping machines are presented to obtain equations linking significant variables (discharge, head, power, efficiency). Then, those equations are utilized to build a mixed-integer optimization model able to find the scheduling solution that minimizes required pumping energy. The model is solved with respect to a case study referred to a urban drainage system in Naples (Italy) and optimization results are analysed to provide insights on the algorithm computational performance and on the influence of pumping machine characteristics on the overall efficiency savings. With reference to the simulated scenarios, an average value of 32% energy can be saved with an optimized control. Its actual value depends on the hydraulic characteristics of the system.
2018
Optimal pump scheduling for urban drainage under variable flow conditions / Fecarotta, Oreste; Carravetta, Armando; Morani, Maria Cristina; Padulano, Roberta. - In: RESOURCES. - ISSN 2079-9276. - 7:4(2018), p. 73. [10.3390/resources7040073]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/741889
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