The backbone of the PhD is a toolchain that constructs a digital twin of the PEN, relying on capturing operational data and subsequent automated data analytics. In the setup of such digital backbone for a PEN, the PhD student will research amongst others:
- The type of operational data required [at appliance level, building level, street level,…] and their technical characteristics such as frequency, granularity and precision
- GDPR proof methods to handle data at PEN level (scalable privacy-preserving big data aggregation: respect privacy while still having maximum insights from data at lower granularity)
- Protocols to gather such data irrespective of vendor and owner of the equipment
- Methodological approaches to train the digital twin model by the gathered data (initial training), and methods to iteratively update the digital twin of the district
The digital twin will be used to continuously monitor the performance of the district under study and compare this to the predicted performance goals. The PhD student will develop a proof-of-concept application to support the management of the PEN. This application will be able to suggests adjustments to the PEN control strategies(controlling multiple assets such as local storage, EV charging, etc. and multiple energy vectors) and allows to evaluate the impact of changes in the PEN technology mix.
The research will be based on past and current research at the Building Physics and Sustainable Design Section at KU Leuven and the SEB DEMO team (Unit Sustainable Energy and Built environment at VITO. There will be a close collaboration with researchers from EnergyVille.
Buildings play an important role in the energy transition. Their energy demand should be drastically reduced, renewable energy sources should be integrated and they should exchange energy whit each other. To do so Europe encourages the development of Positive Energy Neighborhoods(PEN) which are energy-efficient and energy-flexible urban areas or groups of connected buildings which produce net zero green- house gas emissions and actively manage an annual local or regional surplus production of renewable energy. The PhD-project is focusing on energy neutral and zero-carbon buildings and built environments. Knowledge of building energy flow and the simulation of these flows is essential. Independence and initiative, reliability in team work and good communication skills are similarly valuable. Finally, a suitable knowledge of spoken and written English is required.
The position is open for applicants holding a Master of Science in Engineering (or equivalent): Architecture, Civil Engineering, Energy, Mechanical Engineering or Electrical Engineering with a strong interest and experience in the field of energy in buildings. Knowledge and experience in the following fields will be relevant:
- Building energy simulation, especially MODELICA (to model buildings, equipment and electrical systems)
- Design and operation of buildings and the built environment
- Object-oriented programming software development tools
- Use of statistics and Artificial Intelligence (AI) in the built environment
- Integration of Renewable Energy in the built environment
In your CV and motivation letter you should clearly indicate your experience and knowledge in the above mentioned fields and why you are interested and motivated to acquire expertise in the other fields.
If you are selected as a candidate, you will be asked to outline a more elaborated project description of about 10 pages and defend this before a jury before being selected for the scholarship. You can apply while currently being a MSc-student, but you have to have obtained your MSc degree with at least distinction before the date of appointment. The applicant should have obtained the master’s degree less than 5 years before the start of the scholarship. If an applicant possesses more than one master’s degree. The applicant must have a perfect record of conduct
- The successful applicant will receive a full-time scholarship for four years to do research to obtain the PhD-degree in Civil Engineering
- You will participate in exciting scientific projects on PENs. The research will be carried out at the EnergyVille research center in Genk and at the Building Physics Section from the KU Leuven.
- EnergyVille is actively collaborating with industry which enables you to expand your professional network.
- You will receive training from the Arenberg Doctoral School at University of Leuven, one of the top European Universities, providing an excellent research environment.
- You will have access to state-of-the-art technologies, core facilities and technical support
- You will gain experience in many transferal skills and receive personalized mentoring.
- You will also have the opportunity to participate in local and international conferences and thus expend your scientific network
- Funding is available but the successful candidate will be encouraged to also apply for additional fellowships
The candidate will first have to outline a more elaborated project description and defend this before a jury before being selected for the scholarship. You can apply while currently being a MSc-student, but you have to have obtained your MSc-degree before the date of appointment.