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EnglishThis work presents a multi-criteria-based approach to automatically select specific non-dominated solutions from a Pareto front previously obtained using multi-objective optimization to find optimal solutions for pump control in a water supply system. Optimal operation of pumps in these utilities is paramount to enable water companies to achieve energy efficiency in their systems. The Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) is used to rank the Pareto solutions found by the Non-Dominated Sorting Genetic Algorithm (NSGA-II) employed to solve the multi-objective problem. Various scenarios are evaluated under leakage uncertainty conditions, resulting in fuzzy solutions for the Pareto front. This paper shows the suitability of the approach for quasi real-world problems. In our case-study, the obtained solutions for scenarios including leakage represent the best trade-off among the optimal solutions, under some considered criteria, namely, operational cost, operational lack of service, pressure uniformity and network resilience. Potential future developments could include the use of clustering alternatives to evaluate the goodness of each solution under the considered evaluation criteria.
Carpitella Silvia, B.B. (2019). Multi-criteria analysis applied to multi-objective optimal pump scheduling in water systems. WATER SCIENCE AND TECHNOLOGY: WATER SUPPLY, 19(8), 2338-2346.
| Data di pubblicazione: | 2019 | |
| Titolo: | Multi-criteria analysis applied to multi-objective optimal pump scheduling in water systems | |
| Autori: | ||
| Citazione: | Carpitella Silvia, B.B. (2019). Multi-criteria analysis applied to multi-objective optimal pump scheduling in water systems. WATER SCIENCE AND TECHNOLOGY: WATER SUPPLY, 19(8), 2338-2346. | |
| Rivista: | ||
| Digital Object Identifier (DOI): | http://dx.doi.org/10.2166/ws.2019.115 | |
| Abstract: | This work presents a multi-criteria-based approach to automatically select specific non-dominated solutions from a Pareto front previously obtained using multi-objective optimization to find optimal solutions for pump control in a water supply system. Optimal operation of pumps in these utilities is paramount to enable water companies to achieve energy efficiency in their systems. The Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) is used to rank the Pareto solutions found by the Non-Dominated Sorting Genetic Algorithm (NSGA-II) employed to solve the multi-objective problem. Various scenarios are evaluated under leakage uncertainty conditions, resulting in fuzzy solutions for the Pareto front. This paper shows the suitability of the approach for quasi real-world problems. In our case-study, the obtained solutions for scenarios including leakage represent the best trade-off among the optimal solutions, under some considered criteria, namely, operational cost, operational lack of service, pressure uniformity and network resilience. Potential future developments could include the use of clustering alternatives to evaluate the goodness of each solution under the considered evaluation criteria. | |
| Settore Scientifico Disciplinare: | Settore ING-IND/17 - Impianti Industriali Meccanici | |
| Appare nelle tipologie: | 1.01 Articolo in rivista |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| optimal pump scheduling.pdf | Pre-print | Open Access Visualizza/Apri | ||
| Multi-criteria analysis applied to multi-objective optimalpump scheduling in water system.pdf | Articolo principale | Versione Editoriale | Administrator Richiedi una copia |
http://hdl.handle.net/10447/392374
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