Questa posizione è in ABB
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Questa posizione risponde a:
Digital Solution Engineering Manager
We are seeking a motivated recent graduate or final-year student in engineering to join our team as Plant Advanced Control and Optimization Intern. This position offers a unique opportunity to work on cutting-edge advanced control and optimization projects for industrial plants, focusing on Power Generation and Energy Industries, using ABB's advanced multivariable model predictive control (Predict & Control) and optimization tool (OPTIMAX).
The intern will also gain hands-on experience in plant modeling, using Modelica, process simulation and control system integration,
working alongside experienced engineers on real-world industrial projects.
Your role and responsibilities
- Support the development and validation of dynamic plant models using Modelica language for power generation plants and steam networks
- Support the identification of empirical process models using historical plant data for advanced control applications
- Validate models against real plant data and performance specifications
- Support advanced process control projects based on multivariable Model Predictive Control (MPC) using ABB Predict & Control technology
- Contribute to the identification of controlled variables, manipulated variables, disturbances, operating constraints, and optimization objectives for industrial process units
- Assist in developing, configuring, testing, and validating MPC applications to reduce process variability, improve energy efficiency, and operate closer to pl
📌 Internship - Advanced Control & Optimization (Italia)
🏢 ABB
📍 Italia