Modeling and Control of Drinking Water Supply Infrastructures Through Multi-Agent Systems for Sustainability

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Título: Modeling and Control of Drinking Water Supply Infrastructures Through Multi-Agent Systems for Sustainability
Autor/es: Calatayud Asensi, Carlos | Berna-Martinez, Jose Vicente | Arnau Muñoz, Lucía | Maciá Pérez, Francisco
Grupo/s de investigación o GITE: GrupoM. Redes y Middleware
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Palabras clave: Intelligent control | Infrastructure modeling | Multi-agent system | Intentions | Behaviors
Fecha de publicación: 19-mar-2024
Editor: World Scientific Publishing
Cita bibliográfica: International Journal of Software Engineering and Knowledge Engineering. 2024. https://doi.org/10.1142/S0218194024500025
Resumen: Traditionally, drinking water supply infrastructures have been designed to store as much water as possible and to do so during the energy cheap hours. This approach is unsustainable today. The use of digital systems capable of modeling the behavior of infrastructures and the creation of intelligent control systems can help to make drinking water supply systems more efficient and effective, while still meeting minimum service requirements. This work proposes the development of a control system, based on multi-agent systems (MAS), capable of generating an intelligent control over a drinking water infrastructure, based on the use of local interests of the agents and with an emergent behavior coherent with the needs. To validate the proposal, a simulator based on the infrastructures of a medium-sized Spanish city of 5000 inhabitants has been built and the control has been simulated using the MAS. The results show how the system can maintain the objectives set, handling unknown situations, and facilitating the development of future physical systems based on a just-in-time paradigm that guarantees sustainability, as it allows the generation of virtualizations of the infrastructures and their behavior, thus being able to study the best option for an infrastructure to resolve a supply situation.
Patrocinador/es: This work was supported by the UAIND22-01B Project “Adaptive Control of Urban Supply Systems” by the Office of the Vice President of Research of the University of Alicante, and the INNTA3/2022/3 project “Adaptive Control of Urban Supply Systems”, by Agencia Valenciana de la Innovación.
URI: http://hdl.handle.net/10045/142201
ISSN: 0218-1940 (Print) | 1793-6403 (Online)
DOI: 10.1142/S0218194024500025
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © The Author(s). This is an Open Access article published by World Scientific Publishing Company. It is distributed under the terms of the Creative Commons Attribution 4.0 (CC BY) License which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Revisión científica: si
Versión del editor: https://doi.org/10.1142/S0218194024500025
Aparece en las colecciones:INV - GrupoM - Artículos de Revistas

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