PhD scholarship in Data-Driven Predictive Methods in Energy Management of Smart Buildings – Unlocking Cross-Sectoral Flexibility, in the Centre for Electric Power and Energy (CEE) at the Department of Electrical Engineering, Technical University of Denmark (DTU)
Deadline to Apply
May 30, 2021 (23: 59 GMT +1)
|No. of Position(s)||1|
|Research Area||– Electrical engineering|
– Computer science
|Scholarship||According to standard norms|
|Workplace||DTU Electrical Engineering|
Center for Electric Power and Energy
Technical University of Denmark
|Contract Period||3 Years|
|Starting date||Not specified|
You should hold a two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree in electrical engineering, computer science or similar. Degrees obtained at latest during summer 2021 are also eligible to apply.
You are our ideal candidate if you are a self-motivated team player who enjoys working with complex topics and thrive in an international environment where your collaboration with industry help pave the way towards a sustainable future. Furthermore, we would like to see you as an active role model contributing with the following competences:
- Background in control and mathematical modelling
- Knowledge in electricity and district heating system operation and renewable energy integration
- Knowledge in artificial intelligence and machine learning techniques
- Knowledge and experience of nonlinear/convex optimization,
- Programming skill with Python, R or MATLAB/Simulink, etc.
- Experience with experimental work
- Excellent mastering of the English language
- Ability to present results in technical reports, and in preparing scientific papers for publication in international journals
The main objective of this PhD project is to study how data-driven methods can enable smart buildings actively to interact with the electric power system and the district heating system, thus unleashing the cross sectoral operational flexibility. In this project you will be using data-driven artificial intelligence (AI) aided heat demand forecast, and machine learning-based model (or model-free) optimal predictive control strategies for developing energy management systems. We anticipate you working with one or more of the following research tasks:
- Using (big-) data from smart building and communities for identifying and maximizing the potential flexibility in thermal inertia, built in thermal and electrical storage systems (e.g. thermal accumulators, battery electric energy storage systems, heat pumps etc.)
- Identifying the most relevant data-driven techniques for optimal predictive control-based building energy management system (BEMS), such as heat demand forecast, control-oriented models or model free autonomous learning BEMS.
- Improving solver performance for multi-objective, multi-timescale, nonconvex and nonlinear optimal operation problems for BEMS by considering some new methods such as AI-enabled, machine learning, and other new data-driven algorithms.
- Investigating how the data-driven model and control solutions for one building can be made portable and scalable to multiple buildings/neighbourhood ;
- Evaluating the potential of cross-sector operational flexibility in the context of computer simulation and hardware-in-the-loop simulation. A major task will be proof-of-concept testing at NTNU ZEB Test Cell Lab (https://fmezen.no/) and at DTU’s experimental platform PowerLabDK (http://www.powerlab.dk/)
This scholarship offers the opportunity for an optional double degree (DTU and NTNU) which requires at least 12 month of guest stay at NTNU.
How to Apply?
To apply, please open the link “Apply online”, fill out the online application form, and attach all your materials in English in one PDF file
- A letter motivating the application (cover letter)
- Curriculum vitae
- Grade transcripts and BSc/MSc diploma
- Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)
About DTU Electrical Engineering
DTU Electrical Engineering educates students within electrical engineering technologies. We offer studies at BEng, BSc, MSc and PhD levels, and participate in joint international programmes. We conduct state-of-the-art research within antenna and microwave technology, robot technology, power and physical electronics, acoustic environment, electro-acoustics, electric power and energy. Our department has more than 200 members of staff.
- The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.
- If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.
Senior Researcher Yi Zong
Tel.: +45 5164 7469
Post expires at 8:59am on Monday May 31st, 2021 (GMT+9)