Public Buildings can offer valuable resources which may not be avialable to everyone, including heating and cooling services (e.g. in heat waves). This may be increasingly important as climate changes. What role can they play and how effective are they?

There is clearly difference between domestic and non-domestic users of public charging infrastructure, but within these groups what are the different behaviours and what association do they have with different roles, and user types?

Can be focused in different datasets, or multiple. But what are e.g. the ways to better visualise the usage of different chargepoints, EV journeys (possibly using Mobile data), EV placement, including different users, etc. How to tell story's for decision makers.

Rural areas are typically underserved with charging infrastructure, what are some of the differences in rural vs urban usage, in terms of location, how they are used, and what would be a better way to utilise?

Utilising all available data sources, try to generate synthetic home charging profiles. Can you adapt them to take into account possible use of public chargers?

Consider the Zap Map data and when they were installed to create a long term scenario driven model to identify how many and where the installations may be given historical patterns. Link to other initiatives to see impact of policies, and try to understand impact of new initiatives like the LEVI fund.

Create or utilise open algorithms to optimise the location of EV chargepoint based on various data, including current locations, capacity, etc. Possible expand to look at socio-demographics and improve equity.

How does use of public chargers link with how EVs are charged at home. Is there common patterns, what does it say about the users, and

How is energy linked to movements within the building, this could ensure non-essential systems are shut down. How much can be inferred with non-mobile data, like door access keycards for example.

With possibility of autonomous buses and taxis. How will this effect the EV charging infrastructure needs and the users. Where should they be placed, and what impact may they have on different communities.

Utilising the mobile phone data, what are the types of journeys it captures, which ones could be linked to different energy use behaviours.

How can we build effective, affordable plans for decarbonising building energy usage?

Often occupancy behaviours is sparse for non-domestic buildings.

Having appropriate heating and cooling within buildings reduces risks of health conditions. How can energy be managed whilst ensure that comfort and health are not affected?

How are movement and presence patterns affecting heating, cooling, lighting and ventilation demand. Are there inefficiencies, what approaches could improve this?

Based on charging patterns in home and public chargers what are the opportunities and risk of using plugged in vehicles to manage grid constraints

Measuring flexibility potential varies across energy profile and type of consumers. Metrics may simplify and help quantify potential to grid and business

What do users do when they are charging their vehicles? Does this vary depending on location, type of charging, users?

What are some of the differences and similartieis between different building types, what about same building types (e.g. universities), and what accounts for these differences. Can we build a model?

What are some of the innovative ways users of EVs can get value or reduce costs from using their EVs. How can these be applied so as to support, or at least not disadvantage vulnerable and/or fuel poor individuals?

What are the areas of potential flexible demand based on the building type and thier energy use data? Potentially could look at disaggregating energy demand to identify specific flexibility opportunities.

Modelling the use of EV charging in changing weather, can we also predict they use in various extreme weather scenarios?

What is the likely effect on buildings and how can they prepare for future climate change?

What are some of the properties of current location of chargepoints, what are some of the gaps. Open question to explore different attributes, but one focus could be on rural vs urban, or inequality.