Dataset for Quantifying Building-Level Benefits of Vehicle-to-Home with Photovoltaic: A High-Resolution Parametric Study with Corrected KPIs

This paper quantifies how Vehicle-to-Home (V2H) operation influences building-level self-sufficiency (SS) and self-consumption (SC) in a photovoltaic (PV)-equipped residence using an electric vehicle (EV) battery as flexible storage. A minute-resolution, year-long TRNSYS model coupled with Python automation enables a large parametric study (430 annual simulations) covering five PV azimuths, seven EV availability schedules, three daily mileage levels, and two state-of-charge (SOC) constraint settings, with V2H disa-bled/enabled and benchmark cases without storage and with a 75 kWh stationary battery. To avoid overestimating V2H benefits due to additional EV driving demand, corrected SS and SC are introduced to isolate the storage contribution from mobility-related con-sumption. Results show that EV availability timing is the dominant factor. Relative to the no-storage case, corrected SS increases by 3-37% and corrected SC by 2-19%, mainly de-pending on availability and mileage. Higher mileage reduces improvements (≈20.3%/9.9% at 28 km/day versus ≈7.7%/3.8% at 160 km/day for SS/SC), while SOC con-straints have a minor effect (≈-0.8% and -0.4%). PV azimuth has a limited annual influence (≤1.4% on SS and ≤2% on SC). Overall, V2H improves SS and SC across all scenarios but remains below a stationary battery equivalent capacity.