Market Research Report
Optimizing EV Load Profiles to Benefit the Grid
|Published by||Guidehouse Insights (formerly Navigant Research)||Product code||976174|
|Published||Content info||18 Pages; 6 Tables, Charts & Figures
Delivery time: 1-2 business days
|Optimizing EV Load Profiles to Benefit the Grid|
|Published: December 10, 2020||Content info: 18 Pages; 6 Tables, Charts & Figures||
Electricity demand in the US and European Union has been flat or down for several years, threatening the traditional business utility model of greater demand driving higher revenue. However, projected growth in EV adoption and the electricity that EVs use represent a dramatic increase in the amount of power that utilities will likely sell to consumers, buttressing shaky fundamentals. However, intermittent charge times and geographic clustering could exacerbate peak demand issues and threaten transformers.
The evolving EV market, charging infrastructure, and charge times are expected to have a big impact on utility load shapes. These trends are magnified by increases in solar generation, which leads to a greater discrepancy between low midday demand and peak demand when people return home from work. As utilities determine investment strategies and how to incorporate a step-change in demand, they will need consider a range of strategies including price signals and vehicle-to-grid integration. These tools can help utilities and regulators nudge EV charging behavior to minimize disruptive grid impacts, lower consumer costs, and reduce carbon emissions.
This Guidehouse Insights report explores the maturing EV and charging markets, the move from EV grid impacts from theoretical to practical, and potential utility benefits, including demand response, energy storage, and managed charging. The report also explores this question: how are EVs and renewables exacerbating load shape peaks and troughs? Recommendations for utilities and other stakeholders are provided along with instruments in utility and regulator toolbelts that could help shift EV load.