Internship / Master Thesis (Private Electric Vehicle Charging Demand in Singapore)
Electrification Suite & Test Lab
17 December 2019
Open until filled
Fixed Term (6 months)
Project Title: Private Electric Vehicle Charging Demand in Singapore
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.
The research group Electrification Suite & Test Lab (ESTL) research area in TUMCREATE puts an emphasis on the interaction of the electricity grid with advanced electrified public transport systems for Singapore. Ranging from charging infrastructure optimisation to demand side flexibility and integration of renewable energies, ESTL covers many hierarchy levels of the electrification concept in the context of the major goals of TUMCREATE.
A research project has been established to investigate the impact of electric vehicle (EV) charging in the electric distribution grid in Singapore. The City Mobility Simulator (CityMOS) and the flexible distribution grid demonstrator (FLEDGE) software frameworks are being developed to investigate the spatiotemporal EV charging demand and to study possible mitigation strategies for demand hot spots.
Objective and Tasks The goal of this thesis is to characterize the private EV charging demand and to identify the electric distribution grid expansion requirements for one district of Singapore. The main tasks are:
Derive mobility patterns from residential and commercial carpark occupancy data.
Model the driving / charging behaviour of private EVs and extend the private vehicle agent models of CityMOS to simulate the spatiotemporal electric charging demand of private EVs.
Represent the EV charging demand in FLEDGE and study the EV hosting capacity of the distribution grid for one district in Singapore.
What we expect from you
Basic understanding of object-oriented programming and agent-based simulation
Experience with C++ / Julia is an advantage
Reliable, independent, precise and scientific working style
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 you
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
Enquiries and How to Apply Please send your complete application including cover letter, CV, university transcripts and degree certificates to firstname.lastname@example.org