ayoub haloui

🔹 Hydraulic Modeling and Transient Analysis for the Optimization of Nuclear Cooling Circuits at Hinkley Point C, Flamanville 3, Palluel, and Gravelines" 🔹 Transient Studies and Hydraulic Modeling: ➥ Hydraulic sizing of pumps during the bidding phase, utilizing advanced simulations and data analysis to optimize designs. ➥ Calculation of hydraulic loads (axial and radial forces) and coordination with mechanical engineers for shaft line sizing. 🔹 Data Analysis and Performance Optimization: ➥ Application of machine learning techniques to model and predict hydraulic performance, including pressure losses and transient phenomena (water hammer). ➥ Analysis of hydraulic test data and integration of statistical and predictive models to ensure compliance with specifications. 🔹 Experience Feedback and Innovation: ➥ Consolidation of Return on Experience (REX) through data analysis and benchmarking of hydraulic performance. ➥ Development of a predictive failure analysis methodology for critical hydraulic systems.

🔹 Optimization of Water Quality Monitoring Stations (SMP) at Nuclear Sites and Implementation of Machine Learning Solutions to Prevent Alerts: ➥ Water Quality Data Analysis: Examination of key parameters such as temperature, dissolved oxygen (O₂), and pH, with the implementation of Machine Learning algorithms to model anomalies. This reduces false alarms and optimizes the preventive maintenance of sensors. ➥ Operational Deployment: Installation of a new water quality monitoring station to ensure data accuracy and reliability. ➥ Development of Interactive Dashboards: Creation of real-time dashboards for visualizing water quality data and alerts, enabling proactive management and faster decision-making.