A Research Platform for Singapore

Research Assistant (Modeling of Thermal Building)

Department:Electrification Suite & Test Lab
Posted Date:12 March 2019
Closing Date:Open until filled
Hours:Full Time
Duration:Fixed Term

 

Project title: Modeling of Thermal Building Systems for Load Flexibility

 

About TUMCREATE

TUMCREATE is a research platform for the improvement of Singapore's public transportation, including the deployment of electric and autonomous mobility. Researchers from Technical University Munich and Nanyang Technological University join forces and are funded by Singapore’s National Research Foundation as part of the Campus for Research Excellence And Technological Enterprise (CREATE).

In TUMCREATE, over 100 scientists, researchers and engineers work together, led by Professors from the Technical University of Munich and Nanyang Technological University. The Mission of TUMCREATE is to seek the ultimate public transport system for the people of Singapore. Our innovative road transport solutions will provide high comfort and a positive travel experience, best protection of the environment and maximum benefit to the society and the economy.

More information about TUMCREATE can be found on our web pages at www.tum-create.edu.sg.

 

Background

The volatility of energy supply from renewable energy sources will make it necessary in future to increase the demand-side flexibility of the energy system. At the same time, the increasing coupling between the heat and electricity sectors makes it possible to transfer thermal and electrical flexibility potentials into one another. Buildings have an intrinsic flexibility potential resulting from the thermal storage capacities of the building itself, but also from technical facilities such as heat storage units. When exploiting this potential, restrictions arise from the operation of the building: in the case of office buildings, this is particularly the user comfort. In the context of energy-flexible building operation, the maintenance of a comfortable indoor climate must therefore be proactively taken into account. For this purpose, models of the room climate must be integrated directly into the control system of the building (MPC - model predictive control). The corresponding model must fit to the mathematical characteristics of the optimization approach and be able to adequately predict the relevant parameters of the indoor climate depending on the operation of the building, the occupancy and the environmental conditions.

 

About this position

Within the research platform TUMCREATE in Singapore, a Control-oriented Building Climate Model (CoBMo) was developed, based on the representation by thermal resistances and capacities (R-C models). The core capability of the associated Python-based modelling tool is to derive linear building climate models in the form of state space matrices. The CoBMo defines data structures for building layout and comprises component models for the influence of ambient air, solar radiation, users, devices and the HVAC system on the building climate, i.e. thermal comfort and indoor air quality. The previous component models are based on the rooms of TUMCREATE in Singapore. The objective of the thesis is to extend CoBMo by corresponding mathematical component models to apply to other offices and rooms.

There will be support provided by scientific associate who was significantly involved in the preparatory work in form of the existing models.

 

Main tasks

  • Formulation and implementation of component models for radiator heating systems and thermal building component activations
  • Integration of the new models into the numerical optimization system
  • Application of the linear building climate model to a zone of a selected office building
  • Validation of the results on the basis of measurement data or reference models (e.g. EnergyPlus etc.)

 

Requirements

  • Enrolled Bachelor and Master students
  • Good knowledge of thermodynamics + heating, ventilation and air conditioning
  • Experience with Python / Pandas and object-oriented programming is an advantage
  • Reliable, independent and scientific way of working

 

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

 

Enquiries and How To Apply

Please send your complete application including cover letter, CV, university transcripts and degree certificates to sebastian.troitzsch@tum-create.edu.sg

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