Ramos, Helena M.Perez-Sanchez, ModestoCorreia, TiagoBekci, E.Besharat, M.Kuriqi, AlbanCoronado-Hernandez, Oscar E.2025-11-202025-11-2020252709-80282709-8036https://doi.org/10.2166/aqua.2025.031https://hdl.handle.net/20.500.12573/5669This study presents an integrated smart water-energy nexus framework combining IoT-based water monitoring, hybrid renewables (hydropower/solar/wind), and AI-driven optimization. Real-time sensor data enables automated grid management, while AI analytics optimize operations and predict maintenance needs through a closed-loop system. The solution achieves bidirectional energy exchange, with the full hybrid system (G + H + PV + W) reducing costs by 41.5% (<euro>831K) and LCOE by 57.2% (<euro>0.0475/kWh). Financial analysis confirms viability with 26.4% IRR and 3.8-year payback, while achieving negative CO2 emissions (-160,476 kg/year). Progressive renewable integration enhances all key performance indicators (KPIs), cutting OPEX by 89.9% (<euro>7,156/year) through optimized operations. Dual water-energy performance metrics (leakage, pressure, % renewable share) ensure balanced and sustainable grid management. Key innovations include IoT-energy synergy, AI-driven predictive maintenance, and circular resource efficiency. The framework demonstrates how smart water grids can achieve both economic and environmental benefits through renewable energy integration and advanced digital solutions.eninfo:eu-repo/semantics/openAccessCarbon NeutralityHydropowerPressure ManagementRenewable EnergiesSmart Water GridsSustainabilityArticle10.2166/aqua.2025.0312-s2.0-105018200583