DOI: 10.5281/zenodo.17085363
title: Commercial EV Fleet and Battery Storage Dataset: Simulation Data for Vehicle-to-Business Applications

description: Dataset Documentation

This repository contains simulation data from research investigating the synergies and substitutions between bidirectional battery electric vehicle fleets and stationary battery storage systems in commercial applications.

The simulation data evaluates three use cases with varying fleet sizes, stationary battery storage capacities, and charging strategies to analyze economic and technical performance indicators.

Repository Structure

The dataset is organized by three main use cases representing different commercial applications:



Health Social Services

Manufacturing

Office


Each use case contains the following subdirectories:

Charging_Strategy

Contains detailed simulation results for different charging strategies and configurations.

File Naming Convention:

{charging_strategy}_bat_{battery_size_factor}_{use_case}_{number_of_evs}.csv

Parameters:





charging_strategy:



bidirectional: Vehicle-to-grid capable smart charging

unidirectional: Standard one-way smart charging

uncontrolled: No smart charging control



battery_size_factor: Battery sizing multiplier (0.0, 0.5, 1.0, 1.5)

number_of_evs: Fleet size (1, 5, 10)



 

Column Descriptions:





timestamps: Date and time stamps in 15-minute intervals

power_applied.EV_X: Applied charging/discharging power for vehicle X (kW)

soc.EV_X: State of charge for vehicle X (0-1 scale)

prices: Electricity prices (currency per kWh)

fixed_power_contribution_per_component.load: Base electrical load of the facility (kW)

grid_builder_usage: Net power consumption from the grid (kW)

total_load: Total electrical demand including EVs (kW)

fixed_power_contribution_per_component.pv: Solar PV generation (kW)

EV_X.connected: Connection status of vehicle X (Boolean)



KPIs

Contains aggregated key performance indicators for economic and technical evaluation.

 

File Naming Convention:

calculated_kpis_{use_case}_{investment_year_SBS}_{level_of_investment_cost}.csv

Column Descriptions:





Charging Strategy: Type of charging control implemented

Bat_Fleet_Size: Battery size factor and fleet size combination

Bat_Size: Battery capacity sizing factor

Fleet_Size: Number of vehicles in the fleet

Electricity Costs: Annual electricity costs (k€)

Peak Load: Maximum power demand (kW)

Annual Self-Consumption: Percentage of self-generated energy consumed

Annual Self-Sufficiency: Percentage of energy demand met by self-generation

battery_investment: Investment costs for battery systems

bidi_investment: Investment costs for bidirectional charging infrastructure

total_investment: Total capital investment required

annual_difference_elec_costs_ref_case: Annual electricity cost savings compared to reference case

Amortization Time: Payback period in years

ROI: Return on investment



Supporting Data Directories





Load: Contains annual load profiles for each use case showing baseline electricity consumption

Prices: Contains electricity price data used in the simulations

PV_Profiles: Contains photovoltaic generation profiles for facilities with solar installations