Alternatively, utilities can look to extract data from individual households, as this is where most EVs are charged. Utilities can source this manually through DMV data, although this has proved to be a difficult, timely process yielding often outdated results. Utilities can offer managed charging as an automated way for customers to participate in the clean energy economy while enabling utilities to better manage grid loads.įor EV engagement to occur at any level, utilities first need to identify where the EVs are in their territory.
state and the most concern for charge management strategies. Additionally, this group is best poised for direct load optimization or managed charging.Ĭalifornia is a good example of this - which, according to Pew, has by far the highest share of EVs of any U.S. Level 4: Managed charging. Utilities with 2% to 3% EV penetration are also focused on load shifting opportunities, actively engaging customers with behavioral nudges targeted to motivate change.This includes switching charging times to off-peak hours or encouraging more sustainable charging behaviors backed by incentives.
#EDT SMART UTILITY DRIVERS#
Leveraging the same end-to-end data analytics as above, utilities can implement behavioral managed charging strategies to better inform drivers on their individual charging patterns, with the end goal of helping customers shift their charging patterns in a more optimal way. Utilities with above-average adoption are likely considering ways to prevent these EV charging peaks, either by expanding capacity via infrastructure investments (though costly and time-consuming) or developing a behavioral managed charging solution. Level 3: Behavioral managed charging. EV growth is necessary in the fight to slow climate change, but grid congestion and capacity could quickly become a problem for utilities with higher percentages of EVs if all EVs were to charge at the same peak times.With this information, utilities can then determine an organization-wide, data-driven plan for accommodating EVs - from effective grid management and customer engagement to rate design and infrastructure investment.
Investing in data analytics can help these utilities identify which households have EVs as well as charging patterns and potential growth trajectories. Level 2: End-to-end EV analytics. Here, utilities are starting to notice a significant EV pickup, somewhere around 1% to 3% penetration, yet have a limited understanding of this added energy demand.Hear directly from utilities on how they’re benefiting from using FAN networks. Alternatively, Smart City networks using a FAN network can be built and then modified to support Smart Utility applications later. Smart Cities can leverage the existing wireless communications infrastructure provided by AMI or streetlight networks to enable other applications such as smart signals, public transit signs, parking spaces, electric vehicle charging stations and more. For example, Intelligent street lighting–deployed using a canopy mesh networks–enables a range of additional services such as citywide traffic management and parking systems, and provides reliable, FAN deployments to communicate mission-critical, real-time information. Field Area Networks (FANs) are becoming a vital component in the creation of smart cities. Smart cities and utility networks are more similar than you’d think, sharing many common communication requirements and supported by a common networking architecture. EnerNex VP Jeremy Laundergan is a panelist on this upcoming Wi-Sun Alliance webinar.
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