TUMCREATE is a research platform for the improvement of Singapore's public transportation, including the deployment of electric and autonomous mobility. The research group Electrification Suite & Test Lab (ESTL) in TUMCREATE puts an emphasis on the interaction of the electric grid with advanced electrified public transport systems, flexible loads and renewable generation. In close cooperation with the Chair of Renewable and Sustainable Energy Systems (ENS) and the Munich School of Engineering (MSE), ESTL seeks models and algorithms for future energy system.
Load flexibility is becoming an important tool for the power system operator to mitigate challenges due to renewable generation and electric vehicle (EV) charging. Key candidates for load flexibility are the heating, ventilation and air-conditioning (HVAC) systems in office buildings, thanks to the inherent thermal energy storage capability of buildings.
Flexible load control of the HVAC system is achieved by formulating a numerical optimization (model predictive control) problem for the minimization of electricity costs subject to an hourly electricity price and the building occupants’ comfort. Hence, a mathematical model for the building occupants’ comfort as a function of the electric load of the HVAC system is needed. The model formulation must be convex (e.g. linear) to allow the use of computationally efficient convex optimization solvers.
About This Position
A research project has been established to develop the Linear Building Climate Model (LBCM). The core capability of this Python-based modelling tool is to derive linear building climate models in state space form. LBCM defines data structures for the building layout and HVAC system and comprises component models for the impact of ambient air conditions, solar irradiation, occupants, appliances and the HVAC system onto the building climate, i.e. thermal comfort and indoor air quality.
The goal of this thesis is to derive a model of the MSE offices with LBCM. Existing component models will need to be extended and validated to ensure the appropriate representation of the building.
Objectives & Tasks
The main tasks are:
Formulate component models for radiator heating systems, building core activation and window ventilation and implement the new component models in LBCM.
Derive a model of the MSE offices with LBCM and validate the model against measured data.
Quantify the load flexibility in the MSE offices.
Enrolled student in one of the Bachelor or Master programs at the TUM Department of Electrical and Computer Engineering
Good knowledge of Thermodynamics / Heating, Ventilation and Air Conditioning systems
Experience with Python / Pandas and Object-Oriented Programming is beneficial
Excellent interpersonal skills and communication skills in both written and spoken English and ability to work with people from different backgrounds and cultures
What We Offer
Exposure to the state of the art research topics
An international and multidisciplinary working environment
Guidance by researchers from world-renowned universities
Opportunity for publishing in international journals and conferences
Multicultural and dynamic working atmosphere
How To Apply
Please send your complete application including cover letter, CV, university transcripts and degree certificates to firstname.lastname@example.org with email@example.com in CC.
Thank you for your applications, only shortlisted candidates will be notified.