Digitalisation in the energy and mobility sectors
Information and communication technologies constitute today key components in the domain of energy and mobility. They participate through their infrastructures in a convergence between domains that have traditionally been operated in silos.
This line of work focuses on the role, impact and challenges of data tools and digital infrastructures on the operations and management of connected systems for mobility and energy.
Keywords: electric mobility; cyberphysical systems; data management; applied data science.
Ongoing projects
| EVOLVE+ |
EVOLVE+ is a multi-disciplinary programme of research that aims at engineering data-driven solutions to support future electric mobility infrastructures. The project started as EVOLVE in 2019 and was hosted at Imperial College London (details can be found here). EVOLVE+ focuses on two main topics: 1) monitoring functionality for electric vehicle charging infrastructures and 2) resilience modelling for electric mobility systems in urban environments. |
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| Keywords: electric mobility; charging infrastructure; maintenance; resilience. |
| Privacy and green mobility |
The project investigates data privacy (i.e., how data is exploited) in the context of smartphone apps developed to support green mobility. The project focuses on the inherent coupling between physical mobility and digital mobility and aims to propose a simple method for informing users of an app about their digital mobility and associated privacy implications. |
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| Keywords: privacy; green mobility apps; cross-data analysis. |
| Data logistics for cyberphysical systems |
This project investigates the challenges of interoperability for the integration between heterogeneous infrastructures – inter-domain; and between heterogeneous providers and operators - interstakeholder, in the context of connected mobility and built environment ecosystems. It defines the notion of data logistics for converged energy, mobility and information systems. |
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| Keywords: interoperability; data models; data exchange models, system convergence. |
| Applied data science curriculum |
This project is informed by the experience of teaching the basics of data science and its challenges applied to the context of digitalisation in the energy domain to an audience of learners with mixed backgrounds. It investigates evolving teaching content, as well as coursework material and exercises. |
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| Keywords: applied data science; teaching; multidisciplinary cohort. |
