eRoadMAPTM for EV Planning
Mercury Consortium
Extreme Weather Risk Assessment
eRoadMAPTM for EV Planning. The transition to electric transportation presents both opportunities and challenges for the utility industry. For example, unlike traditional load planning for buildings, electric vehicle (EVs) installations can be added quickly, often leaving utilities with limited lead time for distribution upgrades. The eRoadMAP™ tool, part of EPRI's EVs2Scale2030™, offers utilities an unprecedented data set for tracking local EV adoption trends. Incorporating this data into utility planning enables utilities to prepare for rising EV demand and better serve customers. eRoadMAP™ also integrates key data layers, such as hosting capacity maps, to help drive data-informed decisions. To support ongoing utility planning, EPRI gathers, updates, and shares data, including data methodology and assumptions, via a public website accessible to utilities and the public.
Mercury Consortium. The consortium, conceived by Kraken and managed by EPRI, will develop guidelines and best practices that make it easier for millions of customers to adopt energy technologies like EV chargers, heat pumps, solar panels, smart thermostats, and residential batteries. Consumer devices that have the capability to operate with utilities' requirements, integrate into energy systems, and participate in demand-response programs and markets could help the energy system be more responsive and flexible.
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ISO-NE Extreme Weather Risk Assessment. EPRI and ISO New England (ISO NE) created a methodology to assess risks posed by future extreme weather conditions to the region's bulk power system. The study focuses on the New England power system for the years 2027 and 2032, accounting for shifts in demand, generation sources, and climate patterns. The results of this work establish a foundation for an ongoing, forward-looking risk assessment framework for ISO NE and others. This systematic approach offers a replicable model for identifying future conditions and mitigating future operational challenges.
