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Fuzzy credibility-constrained quadratic optimization for booster chlorination of the water distribution system under uncertainty
To keep chlorine concentration at acceptable levels, chlorine is usually injected into the water distribution system (WDS). To protect the health of human beings, the chlorine concentration at consumers’ nodes should be kept at appropriate levels. However, these levels are difficult to determine due to the presence of fuzzy uncertainties. To deal with fuzziness at both sides of the constraints in the optimization model of booster chlorination, we propose a fuzzy credibility-constrained quadratic programming (FCCQP) model with a consideration of credibility levels and weight coefficients. The proposed model is applied to two WDSs to obtain the booster cost under uncertain conditions. The results indicate that the booster cost increases with the confidence level for lower chlorine concentration ζL. In addition, the booster cost decreases with the weight coefficient w. The booster cost function curves along with the variation of weight coefficients are concave and convex for scenario 1 and scenario 2, respectively. These results can help managers to make informed decisions on disinfection injection under conditions of fuzzy uncertainties. HIGHLIGHTS The study deals with fuzziness at both sides of the constraints.; The study integrates the generalized fuzzy credibility chance-constrained programming and quadratic programming.; The study obtains booster cost under various credibility levels and weight coefficients.; The study analyzes the proportion of the operation cost.; The study compares the booster costs of various cases.;
Fuzzy credibility-constrained quadratic optimization for booster chlorination of the water distribution system under uncertainty
To keep chlorine concentration at acceptable levels, chlorine is usually injected into the water distribution system (WDS). To protect the health of human beings, the chlorine concentration at consumers’ nodes should be kept at appropriate levels. However, these levels are difficult to determine due to the presence of fuzzy uncertainties. To deal with fuzziness at both sides of the constraints in the optimization model of booster chlorination, we propose a fuzzy credibility-constrained quadratic programming (FCCQP) model with a consideration of credibility levels and weight coefficients. The proposed model is applied to two WDSs to obtain the booster cost under uncertain conditions. The results indicate that the booster cost increases with the confidence level for lower chlorine concentration ζL. In addition, the booster cost decreases with the weight coefficient w. The booster cost function curves along with the variation of weight coefficients are concave and convex for scenario 1 and scenario 2, respectively. These results can help managers to make informed decisions on disinfection injection under conditions of fuzzy uncertainties. HIGHLIGHTS The study deals with fuzziness at both sides of the constraints.; The study integrates the generalized fuzzy credibility chance-constrained programming and quadratic programming.; The study obtains booster cost under various credibility levels and weight coefficients.; The study analyzes the proportion of the operation cost.; The study compares the booster costs of various cases.;
Fuzzy credibility-constrained quadratic optimization for booster chlorination of the water distribution system under uncertainty
Yumin Wang (author) / Guangcan Zhu (author)
2022
Article (Journal)
Electronic Resource
Unknown
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Optimization of booster chlorination for water distribution system under dual uncertainties
| Taylor & Francis Verlag | 2022
| British Library Conference Proceedings | 1996