Master Thesis: "Enhancing Water Diffusion Modeling and Moisture Criteria for Energized Transformers" (f/m/d)

Location:

Bad Honnef, North Rhine-Westphalia, Germany

Job Id:

R0104799

Date Posted:

2025-09-17

Company Name:

HITACHI ENERGY GERMANY AG

Profession (Job Category):

Other

Job Schedule:

Full time

Remote:

No

Job Description:

The Opportunity

• Understanding the moisture dynamics in transformer insulation is critical for predicting aging, dielectric failure, and overall 
• reliability. While recent models like the Thermo-Chemical Digital Twin offer advanced simulation capabilities, one of the main 
• opportunities for improvement lies in the modeling non-uniform water distribution and its impact on voltage behavior under 
• transient conditions. Additionally, no established criterion exists for evaluating water content in paper insulation under 
• energized conditions.

Your Responsibilities

• Model Development: Extend the water diffusion model to include spatially resolved moisture dynamics and additional influencing factors such as temperature gradients and oil aging
• Diagnostic Criteria: Develop a practical criterion for evaluating water content in paper insulation under energized conditions
• Voltage Behavior Analysis: Investigate how increased and non-uniform moisture distribution affects voltage response under impulse and switching conditions
• Validation: Validate model improvements through simulations and comparison with Breakdown Voltage (BDV) tests using special wave shapes

Your Background

• Master’s student in Electrical Engineering, Power Systems, Applied Physics, or related fields
• Strong foundation in modeling and simulation (e.g., MATLAB, Python, COMSOL)
• Knowledge of dielectric materials and transformer insulation systems
• Analytical and independent working style
• Fluent in English; German is a plus

What We Offer

• Supervision by experienced R&D professionals
• Access to internal models, data, and simulation tools
• Opportunity to contribute to cutting-edge transformer diagnostics
• Potential for follow-up opportunities in research or engineering roles
• switching conditions

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