We help energy distribution businesses plan and manage the increase in PEVs on their network
Your challenge is that the rise of electric vehicles is set to transform the way your network is utilised. The question is how to ensure that your network is optimised for this future. Evenergi combines our growing activity-based data sets, our energy market models and our behavioural research capabilities to help you to understand the challenges
How people will charge their EVs
When they will charge their EVs
How changes in e.mobility may impact on your network
How different approaches to capacity management will impact your network.
We are developing a unique EV-driver
Our approach looks at the potential impact on specific zone substations, feeders or pole top transformers based on the typology and behaviour of charging infrastructure likely to exist behind these network assets.
This recognises that maximum demand impacts will not be evenly distributed, but will be subject to a range of demographic, land use, and e.mobility factors and trends along with changing penetrations of solar, batteries and demand response.
Current EV load
Helping to capture an as-is view on your existing charging infrastructure through registration programs.
Future EV demand
Providing insights on demand based on market surveys, behavioural economic studies, sub-regional demographics and fleet adoption characteristics along with market drivers such as vehicle price and availability.
Travel data & e.mobility market insights
Building and integrating travel data sets from Evenergi's trip planner applications and private and publicly available transportation data sets.
Providing market insights into e.mobility shifts and trends to understand the changing dynamics of the fleet based on migration to public, shared and autonomous transportation options.
Future charging infrastructure forecasts
We help to build bottom-up data specific to a DNO territory based on our charging infrastructure typologies such as on-street, bus depots, fleets, shopping centres, DC Fast Charging. We use economic modelling to estimate the number of private and public charging stations per capita (for private)
Charging management options
Providing insight into the potential for capacity management based on each charging typology, and behavioural insights into the effectiveness of various capacity management strategies.