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1 Create Way
Singapore, 138602
Singapore

Research project within TUM CREATE. Focussing on modelling and optimisation of architecture and infrastructure, urban systems simulation like traffic and power are the main research interests. Apart from that, a cognitive systems group deal with human computer interaction. 

News

Filtering by Category: Simulation

Electric Vehicles in Smart Grids

Daniel Zehe

Using Plug-in Electric Vehicles (PEV) as energy buffers in smart grids could facilitate the integration of renewable energies and contribute to improved power grid stability. While the technical feasibility of this concept called Vehicle-to-Grid (V2G) has been demonstrated, economic concerns remain a barrier for its implementation into practice. Existing economic analyses, however, ignore the dynamic aspects of the problem.

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Simulation-assisted charging station placement for an electrified Singapore

Vaisagh Viswanathan

It is not difficult to imagine a future where a majority of the city-dwellers in a tropical mega-city like Singapore will be driving in electric vehicles. A relevant question that needs to be answered is how should the charging infrastructure of a city like Singapore be developed to most efficiently meet the energy demands and to encourage this transformation to electro-mobility. 

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Cooler Calmer Singapore

Vaisagh Viswanathan

Classic heat simulation approaches are typically limited in scale. In addition, they do not work well with dynamically changing environments. For this reason, an approach is needed that is capable of simulating emission of heat by road traffic and dispersion of heat in the environment on a centimeter scale.

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Towards a serious games approach for behaviour modelling

Daniel Zehe

Charging behaviour models would form a key part in a holistic city scale electro-mobility simulation. Charging service providers can optimise their operation strategy through knowledge about the charging behaviour of EV owners; on the other hand, the charging behaviour itself could be affected by these optimisations. However, due to poor availability of high resolution, high-fidelity real world user data on charging behaviour, building a realistic model is difficult.

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On the secret hot spots of a road network

Daniel Zehe-Test

In the context of holistic city-scale electro-mobility simulation large amounts of data is essential for validation and calibration. However, the number of sensors and their deployment is typically restricted. Furthermore, the size of the sensor network affects the computational complexity for calibration. This raises the question, how many sensors are needed and where to place them. In case an existing network of sensors is used, the question is which of these to use?

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