Internship - Industrial Plant Simulation

21 ago - Roma
ABB

This job is with ABB, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

At

ABB , we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.
This position reports to:
Digital Solution Engineering Manager

We are seeking a motivated recent graduate or final-year student in scientific disciplines to join our team as an Industrial Plant Simulation Intern. This position offers a unique opportunity to work on cutting-edge simulation and optimization projects for industrial plants, focusing on Power Generation and Steam Networks, using ABB's advanced control systems (800xA, Symphony Plus) and optimization tools (OPTIMAX).
The intern will 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. Create simulation models for boilers, turbines, heat recovery systems, and auxiliary equipment.

Implement thermodynamic and fluid dynamic models for steam distribution networks. Validate models against real plant data and performance specifications.

Support simulation projects using

ABB 800xA

simulator and

Symphony Plus

Harmony Training Simulator (HTS). Configure simulation environments to create platforms for testing 800xA and S+ Harmony control logic.

Interface plant models with

DCS simulators

for operator training and control logic verification.

Collaborate on optimization projects using

ABB OPTIMAX

technology.

Develop optimization models for steam and power systems.

Analyze plant performance data to identify optim

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