A new Digital Harmony Search algorithm for optimizing Pump Scheduling in Water Distribution Networks
Pumps in Water Distribution Networks (WDNs) adequately provide effective pressure where low elevation or high head losses are detected within the system. One of the most effective strategies to ensure economic sustainability is Pump Scheduling (PS), assuring the optimization of pump management and e...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-05-01
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| Series: | Water Research X |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589914724000896 |
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| author | Francesco De Paola Francesco Pugliese Nicola Fontana Maurizio Giugni |
| author_facet | Francesco De Paola Francesco Pugliese Nicola Fontana Maurizio Giugni |
| author_sort | Francesco De Paola |
| collection | DOAJ |
| description | Pumps in Water Distribution Networks (WDNs) adequately provide effective pressure where low elevation or high head losses are detected within the system. One of the most effective strategies to ensure economic sustainability is Pump Scheduling (PS), assuring the optimization of pump management and enabling significant energy cost saving. Meta-heuristic algorithms can be applied to Pump Scheduling, given their ability to provide reliable global solutions, further complemented by limited computational efforts. Nevertheless, they do not assure the achievement of the optimal global solution.In this paper, the Pump Scheduling optimization was solved by applying a modified Harmony Search (HS) algorithm, aimed at optimizing the energy consumption and the maintenance costs of pumps, by limiting the number of daily switches. The EPANET 2.0 solver was employed for hydraulic simulations and novel setting equations and penalties were included to limit the number of feasible solutions. The model was tested on two benchmark water networks, showing its capability to return near-optimal solutions within a short computational time. |
| format | Article |
| id | doaj-art-ec0fb1693e4e4664b527f71eb3e3036f |
| institution | Kabale University |
| issn | 2589-9147 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Water Research X |
| spelling | doaj-art-ec0fb1693e4e4664b527f71eb3e3036f2025-01-06T04:08:53ZengElsevierWater Research X2589-91472025-05-0127100300A new Digital Harmony Search algorithm for optimizing Pump Scheduling in Water Distribution NetworksFrancesco De Paola0Francesco Pugliese1Nicola Fontana2Maurizio Giugni3Department of Civil, Architectural and Environmental Engineering, University of Naples Federico II, Via Claudio 21, 80125 Naples, ItalyDepartment of Civil, Architectural and Environmental Engineering, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy; Corresponding author.Department of Engineering, University of Sannio, Piazza Roma 21, 82100 Benevento, ItalyDepartment of Civil, Architectural and Environmental Engineering, University of Naples Federico II, Via Claudio 21, 80125 Naples, ItalyPumps in Water Distribution Networks (WDNs) adequately provide effective pressure where low elevation or high head losses are detected within the system. One of the most effective strategies to ensure economic sustainability is Pump Scheduling (PS), assuring the optimization of pump management and enabling significant energy cost saving. Meta-heuristic algorithms can be applied to Pump Scheduling, given their ability to provide reliable global solutions, further complemented by limited computational efforts. Nevertheless, they do not assure the achievement of the optimal global solution.In this paper, the Pump Scheduling optimization was solved by applying a modified Harmony Search (HS) algorithm, aimed at optimizing the energy consumption and the maintenance costs of pumps, by limiting the number of daily switches. The EPANET 2.0 solver was employed for hydraulic simulations and novel setting equations and penalties were included to limit the number of feasible solutions. The model was tested on two benchmark water networks, showing its capability to return near-optimal solutions within a short computational time.http://www.sciencedirect.com/science/article/pii/S2589914724000896Pump SchedulingMeta-heuristic algorithmHarmony SearchNumber of switchesCost optimization |
| spellingShingle | Francesco De Paola Francesco Pugliese Nicola Fontana Maurizio Giugni A new Digital Harmony Search algorithm for optimizing Pump Scheduling in Water Distribution Networks Water Research X Pump Scheduling Meta-heuristic algorithm Harmony Search Number of switches Cost optimization |
| title | A new Digital Harmony Search algorithm for optimizing Pump Scheduling in Water Distribution Networks |
| title_full | A new Digital Harmony Search algorithm for optimizing Pump Scheduling in Water Distribution Networks |
| title_fullStr | A new Digital Harmony Search algorithm for optimizing Pump Scheduling in Water Distribution Networks |
| title_full_unstemmed | A new Digital Harmony Search algorithm for optimizing Pump Scheduling in Water Distribution Networks |
| title_short | A new Digital Harmony Search algorithm for optimizing Pump Scheduling in Water Distribution Networks |
| title_sort | new digital harmony search algorithm for optimizing pump scheduling in water distribution networks |
| topic | Pump Scheduling Meta-heuristic algorithm Harmony Search Number of switches Cost optimization |
| url | http://www.sciencedirect.com/science/article/pii/S2589914724000896 |
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