A Hybrid Data-Driven and Model-Based Approach for Leak Reduction in Water Distribution Systems Using LQR and Genetic Algorithms
Abstract
:1. Introduction
2. Materials and Methods
2.1. Case Study and Problem Formulation
2.2. Diagnosis and Control of Leaks
- Leak Location with Genetic Algorithms
- Controller Design
3. Results
4. Discussion and Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Parameter | Value |
---|---|
Density of water, | 995.736 kg/m3 |
Kinematic viscosity, | 0.803 × 10−6 m2/s |
Gravity acceleration, g | 9.81 m/s2 |
Valve coefficient, | 1.156 |
Relative roughness, | 0.347 × 10−4 |
Pipe diameter, d | 0.048 m |
Pressure wave velocity, c | 422.754 m/s |
Lenghts and | 38.94 m |
Lenght | 31.056 m |
Lenghts and | 38.94 m |
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Bermúdez, J.-R.; Gómez-Coronel, L.; López-Estrada, F.-R.; Besançon, G.; Santos-Ruiz, I. A Hybrid Data-Driven and Model-Based Approach for Leak Reduction in Water Distribution Systems Using LQR and Genetic Algorithms. Processes 2024, 12, 1805. https://doi.org/10.3390/pr12091805
Bermúdez J-R, Gómez-Coronel L, López-Estrada F-R, Besançon G, Santos-Ruiz I. A Hybrid Data-Driven and Model-Based Approach for Leak Reduction in Water Distribution Systems Using LQR and Genetic Algorithms. Processes. 2024; 12(9):1805. https://doi.org/10.3390/pr12091805
Chicago/Turabian StyleBermúdez, José-Roberto, Leonardo Gómez-Coronel, Francisco-Ronay López-Estrada, Gildas Besançon, and Ildeberto Santos-Ruiz. 2024. "A Hybrid Data-Driven and Model-Based Approach for Leak Reduction in Water Distribution Systems Using LQR and Genetic Algorithms" Processes 12, no. 9: 1805. https://doi.org/10.3390/pr12091805