This project has a strong focus in the renewable energy sector, specifically wind energy generation that is aimed at the residential market. This project will be to test an existing small scale vertical axis wind turbine design in real world conditions and scenarios then optimize the design. As these turbines are intended for residential use, they are subject to very low tolerance for noise and vibration.

Conduct a literature review to assess the available dust suppressing agents and relevant mechanisms (i.e agglomeration, wetting agent etc.). From this study select three additives to test at laboratory scale.

This research project aims to develop methods for learning customer-based, hub-based, and journey-based patterns from this data. We propose to exploit SmartRider log data to discover regularities and abnormalities per-customer, per-hub or region, per-route and per-journey.