A Hybrid Data-Driven and Model-Based Approach for Leak Reduction in Water Distribution Systems Using LQR and Genetic Algorithms
This paper presents a pressure management technique for the reduction of leaks considering as a case study a branched water distribution system. The proposed technique is based on the detection and location of the leak using a genetic algorithm (GA) and pressure control using a Linear Quadratic Regulator (LQR). The validation of the proposed method uses measured pressure and flow data from a laboratory-scale water distribution system and its dynamic model.
Authors
- Leonardo Gómez-Coronel (ORCID: https://orcid.org/0000-0003-1194-2135)
- Gildas Besançon (ORCID: https://orcid.org/0000-0001-5701-6255)
- Francisco‐Ronay López‐Estrada (ORCID: https://orcid.org/0000-0002-8724-335X)
- José-Roberto Bermúdez (ORCID: https://orcid.org/0000-0002-5364-8949)
- Ildeberto Santos‐Ruiz (ORCID: https://orcid.org/0000-0003-3995-8091)
Institutions
- Institut polytechnique de Grenoble (FR)
- Centre National de la Recherche Scientifique (FR)
- Tuxtla Gutierrez Institute of Technology (MX)
- Tecnológico Nacional de México (MX)
- Université Grenoble Alpes (FR)
Publication Details
- Journal
- Processes
- Published
- 2024-08-25
- DOI
- https://doi.org/10.3390/pr12091805
- Citations
- 1
- Primary Topic
- Water Systems and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.26
Funders
- Tecnológico Nacional de México