Future mobility consulting:

Consultancy driving towards a sustainable e.mobility future


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.

How governments and electricity distribution  network businesses can ensure that the grid is ready to accept increasing numbers of PEV’s and to do so in a manner that leverages to increased deployment of renewable energy

We are developing a unique EV-driver

centric approach 

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.

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Helping DNSP forecasters to spatially allocate demand to specific geographic areas. 

Includes GridFleet™ and 

Ausgrid Case study


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Overview of our recent research program on accelerating adoption of electric vehicles


How to ensure that the grid is ready for the rapid penetration of electric vehicles