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Published at December 9

Digital Transformation in the Water Distribution System based on the Digital Twins Concept

cs.CY

cs.AI

Released Date: December 9, 2024

Authors: MohammadHossein Homaei¹, Agustín Javier Di Bartolo, Mar Ávila, Óscar Mogollón-Gutiérrez, Andrés Caro

Aff.: ¹Universidad de Extremadura, School of Technology, Extremadura, Spain

Arxiv: http://arxiv.org/pdf/2412.06694v1

No	Focus Area	Contributions/Goals	Methods	Case Studies/Apps	Outcomes
[64] 2019	DTs in water treatment	Real-time optimization, sustainability	DTs, real-time data	North Carolina water treatment facility	10% reduction in chemical usage, 2% water quality improvement
[30] 2020	WDNs	Real-time monitoring, predictive maintenance	DTs, GIS, SCADA	Valencia, Spain	Improved operational efficiency, support for 1.6 million inhabitants
[47] 2020	Smart water grids	Energy efficiency, leakage control	DTs, CPS, blockchain	Various implementations	Enhanced sustainability, resilience of urban water systems
[48] 2020	Urban water cycles	Real-time control, subsystem interoperability	Cyber-physical systems, model predictive control	Barcelona, Badalona	Reduced combined sewer overflows, optimized water usage
[46] 2021	Water infrastructure	Operational decision support	DTs, real-time data	Global Omnium, Aarhus Vand, DC water	Versatility and effectiveness in different contexts
[52] 2021	Urban water systems	Real-time operational and control functionalities	Living and prototyping DTs	VCS Denmark	Improved system management, efficiency, resilience
[53] 2021	Wastewater Management	Inter-organisational collaboration	Autonomous, limited company, central service organisation, standardisation	Finnish water utilities	Enhanced ICT development, predictive maintenance
[54] 2021	Desalination plants	Membrane maintenance optimisation	DTs, decision support systems	Carlsbad desalination Plant	Reduced operational costs, enhanced membrane efficiency
[51] 2021	Bio-manufacturing	Process efficiency, resource utilisation	DTs, real-time data integration	Ethanol fermentation process	Enhanced monitoring and control capabilities
[50] 2021	Urban spaces and vehicles	Sustainable urban environments	DTs, sensing devices, edge computing, machine learning	Various urban applications	Improved urban planning and infrastructure
[7] 2022	WDNs	Asset management, pressure control	DTs, established algorithms	Lisbon, Portugal	28% water savings, reduced water and energy losses
[55] 2022	Water infrastructure	Impact assessment of COVID-19	DTs, AMI data, hydraulic modelling	Mid-sized utility serving 60,000 people	Altered water demand patterns, improved operational decision-making
[42] 2022	WDSs	State estimation methodology	DTs, graph conventional networks	Two benchmark networks	High predictive accuracy, improved WDS monitoring
[9] 2022	Smart water management	Water resource efficiency	DTs, multi-agent systems	Various implementations	Improved asset management, leak detection, system operation
[56] 2022	Wastewater treatment plants	Process efficiency, resource recovery	DTs, AI, CPS	Various implementations	Reduced operational costs, enhanced system reliability
[59] 2023	Potable water infrastructure	Real-time data collection, bench-marking	DTs, Levels of Service framework	Various implementations	Enhanced decision-making, operational efficiency
[60] 2023	WDNs	Water loss reduction, system performance	Smart water grids, DTs	Gaula WDN, Madeira, Portugal	80% water loss reduction, EUR 165,000 annual savings
[62] 2023	Digital transformation	Digital solutions integration	DTs, real-time optimisation	Various case studies	Enhanced operational efficiency, resource management
[63] 2023	Biomanufacturing	DT framework	DTs, human-machine interfaces	Ethanol fermentation	20-33% productivity improvement
[65] 2023	System operation and maintenance	Predictive maintenance, sustainability	DTs, historical and real-time data	Various implementations	Minimized maintenance costs, improved sustainability
[45] 2023	WDNs	Digital transformation, AI integration	DTs, AI, machine learning, deep learning	QGIS software plugins	Improved planning, management, and design of WDNs
[57] 2024	Water resource recovery	Real-time optimization, stakeholder involvement	DTs, hybrid frameworks	Changi water reclamation plant, Kolding WRRF	Significant operational efficiency improvements
[58] 2024	Urban drainage models	Diagnosing uncertainties	DTs, hydrologic and hydraulic signatures	Odense, Denmark	Improved model accuracy, enhanced urban water management
[61] 2024	WDSs	Optimal sensor placement	DTs, graph neural networks	Synthetic case study	High accuracy in pressure estimation, improved monitoring