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Water
Other literature type . 2023
License: CC BY
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Water
Article . 2023 . Peer-reviewed
License: CC BY
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Water
Article . 2023
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A Novel Approach to Avoiding Technically Unfeasible Solutions in the Pump Scheduling Problem

Authors: Gustavo Marini; Nicola Fontana; Marco Maio; Francesco Di Menna; Maurizio Giugni;

A Novel Approach to Avoiding Technically Unfeasible Solutions in the Pump Scheduling Problem

Abstract

Optimizing pump operation in water networks can effectively reduce the cost of energy. To this end, the literature provides many methodologies, generally based on an optimization problem, that provide the optimal operation of the pumps. However, a persistent shortcoming in the literature is the lack of further analysis to assess if the obtained solutions are feasible from the technical point of view. This paper first showed that some of these available methodologies identify solutions that are technically unfeasible because they induce tank overflow or continuous pump switching, and consequently, proposed a novel approach to avoiding such unfeasible solutions. This consisted in comparing the number of time-steps performed by the hydraulic simulator with the predicted value, calculated as the ratio between the simulation duration and the hydraulic time-step. Finally, we developed a new model which couples Epanet 2.0 with Pikaia Genetic Algorithm using the energy cost as an objective function. The proposed method, being easily exportable into existing methodologies to overcome the limitations thereof, thus represents a substantial contribution to the field of pump scheduling for optimal operation of water distribution networks. The new method, tested on two case studies in the literature, proved its reliability in both cases, returning technically feasible solutions.

Keywords

water resources management, Water supply for domestic and industrial purposes, Hydraulic engineering, pump scheduling, efficiency of water systems, TC1-978, efficiency of water systems; water resources management; energy efficiency; pump scheduling, TD201-500, energy efficiency

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold