Building an Efficient EV Infrastructure Strategy With Geospatial
The popularity of alternative energy vehicles (EVs) is now undeniable. Mckinsey estimated that the number of EVs in the U.S. would grow from less than three million today to more than 48 million in 2030; more than 44 million of which would be passenger cars and the rest buses, light commercial vehicles, and trucks.
A few factors are clearly conducive to EV proliferation. First, governments keep tightening CO2 regulations and offering incentives, such as tax credits, subventions, and programs. Second, several technological developments, including advances in battery life and falling prices, make electric vehicles easier to own. Third, the public EV charging infrastructure continues to improve and expand, establishing denser charging station networks in the regions.
However, governments, technology, and infrastructure developments are putting additional pressure on original equipment manufacturers (OEMs) and charge point operators (CPOs) to push EVs into the market. Certain programs, like California’s Zero-Emission Vehicle (ZEV) program, even require OEMs to sell an increasing share of EVs to be allowed to continue selling internal combustion engine (ICE) vehicles.
Fortunately, Korem can help them develop an effective EV infrastructure strategy through location data and site analytics that will assist them in complying with regulations and meeting increasing customer demand.
Challenges Facing Charge Point Operators and Retailers
Higher Energy and Charger Demand
As energy demand will increase from 11 billion kilowatt-hours (kWh) to 230 billion kWh by 2030, CPOs and retailers will inevitably need to upgrade their electric vehicle charging station networks. In seven years, it is estimated that nearly 30 million chargers will be needed to provide the amount of electricity needed to charge EVs on the road.
Most of these chargers would be private chargers and 1.2 million would be public chargers, installed in travel locations and in places where vehicles are parked for long periods of time.
High Initial Costs
The expansion of the public EV charging infrastructure would cost more than $35 billion by 2030, including the charging equipment, planning, engineering, and installation costs. As an example, the hardware and installation of a small DC fast charging cost up to $200,000. This poses the problem of ensuring that, if a station is installed, there is a clientele to use and pay for it, as well as a good frequency of visits.
U.S. Charger Demand (Thousands of Chargers)
Source: McKinsey
Unfortunately, with this high initial cost, low demand charges of about 5 to 20 cents per kWh, and utilization of chargers averaging less than 8%, some EV charging networks are not yet profitable.
Key Success Factors for an Efficient EV Infrastructure Strategy
Selecting the Right Locations
Over the next few years, EV charging operators and retailers to offer customers a reliable public charging network with carefully selected locations, either in high-traffic or EV-dense areas. Currently, these chargers tend to be located in high-income areas, following early electric vehicle sales. However, future EV charging station installations could be planned for areas of all income levels to make EV ownership as convenient as owning an ICE vehicle and promote equity between rural and urban areas.
To efficiently select the right locations, CPOs and retailers must use site analytics based on quality location-based data. We’ll discuss this in more depth below.
Choosing the Best EV Charger Speeds
Once the potential sites are selected, charge point operators and retailers must choose between commercial level 2 chargers and fast DC chargers to best meet customers’ needs and various use cases. While fast charging is essential to alleviate range anxiety, it is not suitable for all types of locations.
For example, drivers with access to home or overnight charging only need fast chargers when they are on long-distance trips and can’t take the extra time to recharge at slower commercial L2 chargers, or when they forget to charge at home and can’t make the round trip in time. On the other hand, those who don’t have access to a charger at home either opt for fast or slow public charging, depending on their daily travel habits.
This is where location and dwell time play a key role. In parking lots and other public places, DC charging can be offered as a premium service, but when an EV driver is parked for one hour or more, a slower L2 charger is usually sufficient and less expensive for a business to install.
Partnering With Retailers
On the other hand, strategically choosing the right locations and charging speeds is not enough for an EV network to be profitable. For EV charging station companies, obtaining additional revenue streams by partnering with retailers, including fuel retailers, is not only desirable but often necessary. It is also a good opportunity for retailers to increase their sales by generating additional visits through the installation of a well-planned electric vehicle charging infrastructure.
EV owners tend to spend an average of $1 in non-energy revenue sources at the business where they are parked per minute of charging if the on-site offers are interesting and diversified enough. Therefore, creating appealing value propositions to customers certainly improve charger utilization.
”Many EV drivers are drawn to a charging location because they can trust the retailer’s brand or it offers certain amenities that they like,” said Tammy Gasan, Head of North Americas eMobility at Shell.
How Geospatial Is Critical to Developing a Reliable Data Model
To select the best location, choose the right charging speed, and predict the performance of a potential EV charger, it is essential to develop an accurate geospatial data model. This model should include many hyperlocal and up-to-date data points from authoritative data sources, such as:
External data
- Demographic data
- Neighbor and housing information
- Property data
- Street data including highway ramps
- Business points and POIs
- Traffic and mobility data
- EV vehicles registration
- EV charging location
- Electricity distribution network
Internal data
- Historical sales
- Historical spending
- Charging sessions and durations
- Site locations
- Customer profiles
Leveraging location analytics with the help of geospatial experts is critical to developing a future proof EV infrastructure strategy that suits your business model and the changing geodemographics of EV owners. Geospatial experts can also guide you through current trends in EV network branding and the new loyalty paradigm, which greatly influences customer satisfaction.
Maximize Your EV Charging Station Investments Now!
Korem’s experience shows that many customers have difficulty finding the right vendors or external datasets when building their EV infrastructure strategy. However, the help of geospatial experts with an agnostic approach combined with multi-source and hyperlocal datasets has proven to be the best course of action for the EV strategy of Korem’s clients.
Geospatial technology can help you develop a reliable sales forecasting model, calculate the ROI, and analyze the competitive landscape before making further EV charging station investments. And once your EV chargers are up and running, it can assist you in maximizing, scoring, and comparing them.
- Share:
