PEV Flexibility Cuts Community Energy Costs and Emissions Significantly

⚡ AI Executive Summary

Researchers developed an optimization model for integrated local energy communities that operate solar, combined heat and power systems, heat pumps, storage, and plug-in electric vehicles to meet multiple energy demands. The study examined how vehicle-to-grid technology and varying solar panel installations affect operational performance in a 100-apartment community near Turin, Italy. The modeling framework uses mixed-integer linear programming to balance economic and environmental objectives across heating, cooling and electricity needs. The results indicate that expanding solar capacity and increasing EV penetration can deliver substantial grid and emission benefits. With more PEVs available for storage and discharge, communities gain flexibility in managing peak electricity prices and reducing carbon footprint—key advantages as grids integrate higher renewable penetration. The dual-objective approach reveals an important operational insight: economic optimization leads vehicles to provide grid support during peak-rate periods, while environmental optimization prioritizes self-consumption within the community. This suggests that regulatory frameworks and tariff structures will fundamentally shape how EV flexibility is deployed for grid support versus local benefit.