Solar-charge your car: EV charging can be aligned with renewables by providing pro-environmental information on a smartboard

2025-04-13

AI Summary

This study addresses the low carbon-reduction efficiency arising from temporal mismatches between electric vehicle (EV) charging demand and renewable energy generation. We propose a behavior-guidance strategy based on real-time environmental information cues—specifically, dynamically displaying local wind and solar power surplus levels on smart charging station screens to signal green electricity availability. This non-incentive, non-technical intervention enables flexible load shifting without price mechanisms or infrastructure upgrades. Employing a quasi-experimental pre-post design with behavioral data analysis, we observe statistically significant increases in both charging frequency and energy volume during high-renewable-generation periods. To our knowledge, this is the first field validation demonstrating that non-economic informational nudges can effectively modulate EV charging behavior. The approach offers a scalable, low-cost pathway for source-load coordinated decarbonization in residential communities.

Technology Category

• Intelligent Robots: Behavior Learning & Control
• Game Theory and Economic Paradigms: Behavioral Game Theory
• Planning, Routing, and Scheduling: Scheduling under Uncertainty

Application Category

• Economics, Online Markets and Human Computation: The sharing economy
• User Modeling, Personalization and Recommendation: Metrics for user behavior and evaluating success
• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments

Abstract

The integration of electric vehicle (EV) charging with renewable energy sources is crucial for minimizing the carbon footprint of transportation. This study investigates whether real-time pro-environmental information displayed on a smartboard at EV charging stations can influence drivers to align their charging behavior with periods of high renewable energy availability. A pre-post-control quasi-experimental field trial was conducted in a sustainable neighborhood in Ghent, Belgium. A smartboard provided real-time signals indicating optimal charging times based on renewable energy production. The results demonstrate that the presence of real-time pro-environmental information on a smartboard was associated with significant increases in both the number of charging operations and the amount of energy charged during periods of high renewable energy availability. This approach offers a scalable, cost-effective method for optimizing energy consumption and reducing greenhouse gas emissions in residential settings.

Problem

• Align EV charging with renewable energy availability
• Influence driver behavior using real-time pro-environmental information
• Optimize energy consumption to reduce greenhouse gas emissions

Innovation

• Smartboard displays real-time pro-environmental charging info
• Aligns EV charging with renewable energy availability periods
• Scalable cost-effective method reduces greenhouse gas emissions