| Institution: | Aalborg University |
|---|---|
| Location: | Online |
| Field of Study: | Electrical engineering |
| Language: | English |
| Duration: | 450 hours, with possible increase the hours (Dedication by week to be agreed with supervisor and approved by WESET Management). |
| Start date (dd/MM/yyyy) | 01/02/2021 |
| End date (dd/MM/yyyy) | 30/06/2021 |
| Academic Recognition (ECTS) | Certified by the supervisor based on total hours. |
| Web: | https://www.et.aau.dk |
| Contact name / email: | Haoran Wang – hao@et.aau.dk |
| Description: | The study will investigate the possible failure mechanisms and its effects of DC-link and AC capacitors used in the power electronic converters in wind turbine applications. The internship will be conducted online through regular virtual meetings. Research will be carried out with the mentor from Aalborg University, with possible collaborations with Vestas Wind Systems in Denmark. |
| Other information: | NA |
| Institution: | Aalborg University |
|---|---|
| Location: | Online |
| Field of Study: | Electrical engineering |
| Language: | English |
| Duration: | 450 hours, with possible increase the hours (Dedication by week to be agreed with supervisor and approved by WESET Management). |
| Start date (dd/MM/yyyy) | 01/02/2021 |
| End date (dd/MM/yyyy) | 30/06/2021 |
| Academic Recognition (ECTS) | Certified by the supervisor based on total hours. |
| Web: | https://www.et.aau.dk |
| Contact name / email: | Huai Wang – hwa@et.aau.dk |
| Description: | The study will analyze various long-term mission profiles of environmental conditions and grid voltages measured from different places. The results will serve for pattern recognition and forecasting based on AI algorithms. The outcomes will contribute to the design of reliable and intelligent power electronic products for energy applications. |
| Other information: | NA |
| Institution: | Aalborg University |
|---|---|
| Location: | Online |
| Field of Study: | Electrical engineering |
| Language: | English |
| Duration: | 450 hours, with possible increase the hours (Dedication by week to be agreed with supervisor and approved by WESET Management). |
| Start date (dd/MM/yyyy) | 01/02/2021 |
| End date (dd/MM/yyyy) | 30/06/2021 |
| Academic Recognition (ECTS) | Certified by the supervisor based on total hours. |
| Web: | https://www.et.aau.dk |
| Contact name / email: | Shuai Zhao – szh@et.aau.dk |
| Description: | Proactively predicting imminent failure is essential to avoid catastrophic losses in power electronic systems. From a data-driven perspective, this study will implement artificial intelligence and advanced data analytics to enable the remaining useful life prediction of SiC MOSFETs in power electronic converters. The internship will be conducted online through regular virtual meetings. The research will be carried out with the mentor from Aalborg University, with possible collaborations with industrial partners in Denmark. |
| Other information: | NA |
| Institution: | Aalborg University |
|---|---|
| Location: | Online |
| Field of Study: | Electrical engineering |
| Language: | English |
| Duration: | 450 hours, with possible increase the hours (Dedication by week to be agreed with supervisor and approved by WESET Management). |
| Start date (dd/MM/yyyy) | 01/02/2021 |
| End date (dd/MM/yyyy) | 30/06/2021 |
| Academic Recognition (ECTS) | Certified by the supervisor based on total hours. |
| Web: | https://www.et.aau.dk |
| Contact name / email: | Subham Sahoo – sssa@et.aau.dk |
| Description: | Using limited wind speed and power data, a physics-informed AI tool will be designed to limit the rotor side control fluctuations against wind gust and severe disturbances. The results will serve for a timely trade-off analysis on the evaluation of performance equipped by the combination of physics governed equations and data-driven tools for power electronics. The outcomes will contribute to the design of advanced control and optimization of power electronic products for energy applications. |
| Other information: | NA |
| Institution: | Aix Marseille Université |
|---|---|
| Location: | Online |
| Language: | French |
| Duration: | 450 hours, with possible extension up to 700 hours (Dedication by week to be agreed with supervisor and approved by WESET Management). |
| Start date (dd/MM/yyyy) | 01/02/2021 |
| End date (dd/MM/yyyy) | 31/07/2021 |
| Academic Recognition (ECTS) | Certified by the supervisor based on total hours. |
| Contact name / email: | Aziz.Naamane / aziz.naamane@univ-amu.fr |
| Description: | The objective is to develop a model based design for wind energy systems. Mathematical formulations and numerical implementations for different components of wind energy systems have to be highlighted with Simscape language. |
| Other information: | Required at the beginning of the internship: knowledge of Wind Energy and Matlab programming. |
| Institution: | Siemens Gamesa Renewable Energy A/S |
|---|---|
| Location: | Online |
| Language: | English |
| Duration: | 450 hours, with possible extension up to 700 hours (Dedication by week to be agreed with supervisor and approved by WESET Management). |
| Start date (dd/MM/yyyy) | 12/01/2021 |
| End date (dd/MM/yyyy) | 31/07/2021 |
| Academic Recognition (ECTS) | Certified by the WESET management based on total hours. |
| Contact name / email: | Amr Elbanhawy |
| Description: | The work will focus on determining a methodology for translating the multitude of individual failure mode risks to a single metric that expresses the overall risk of the respective design or process. The student will need to understand how the D/P-FMEA tools work, how different designs and processes are evaluated and make critical decisions as to how to express the different risk profiles in a consistent and simple manner. The results of the work will be used to then associate newly described risk of designs and processes to product warranty costs. |
| Other information: | Suitable for backgrounds in Mechanical or Materials Engineering. Knowledge of Wind Energy Systems preferred but not required. |
| Institution: | Siemens Gamesa Renewable Energy A/S |
|---|---|
| Location: | Online |
| Language: | English |
| Duration: | 450 hours, with possible extension up to 700 hours (Dedication by week to be agreed with supervisor and approved by WESET Management). |
| Start date (dd/MM/yyyy) | 12/01/2021 |
| End date (dd/MM/yyyy) | 31/07/2021 |
| Academic Recognition (ECTS) | Certified by the WESET management based on total hours. |
| Contact name / email: | Amr Elbanhawy |
| Description: | The department covers Quality Management globally for all offshore factories. This work is about preparing content and structure for introducing new employees into Quality Management in Siemens Gamesa’s factories. This will require alignment with stakeholders and would give the students broad knowledge on the key aspects of Quality Management. |
| Other information: | Knowledge of Wind Energy Systems preferred but not required. |
| Location: | Online |
|---|---|
| Language: | English |
| Duration: | 450 hours, with possible extension up to 700 hours (Dedication by week to be agreed with supervisor and approved by WESET Management). |
| Start date (dd/MM/yyyy) | 12/01/2021 |
| End date (dd/MM/yyyy) | 30/06/2021 |
| Academic Recognition (ECTS) | Certified by the supervisor based on total hours. |
| Contact name / email: | Fernando Tadeo / fernando.tadeo@uva.es |
| Description: | Development of a controller for pitch and torque, and analysis of the effect on the Annual Energy Production using measured data for a specific location. |
| Other information: | Co-supervisor from Wind Energy Company Required at the beginning of the internship: knowledge of Wind Energy, Power and Control Systems, and Matlab programming. |
