Commercial EV Fleet and Battery Storage Dataset: Simulation Data for Vehicle-to-Business Applications

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数据集文档 本仓库包含一项研究的仿真数据，该研究聚焦商业应用场景下双向动力电池车队与固定式储能电池系统之间的协同效应与替代关系。 本次仿真数据针对三类不同商用场景开展评估，覆盖可变车队规模、固定式储能电池容量与充电策略等变量，用于分析经济与技术性能指标。 仓库结构 本数据集按照三类代表性商用应用场景进行组织： - 健康与社会服务 - 制造业 - 办公场所 每个场景均包含以下子目录： 充电策略（Charging_Strategy） 存储不同充电策略与配置下的详细仿真结果。 文件命名规则： {charging_strategy}_bat_{battery_size_factor}_{use_case}_{number_of_evs}.csv 参数说明： charging_strategy（充电策略）： bidirectional（双向）：支持车网互动（Vehicle-to-Grid, V2G）的智能充电 unidirectional（单向）：标准单向智能充电 uncontrolled（无控）：无智能充电控制 battery_size_factor（电池容量倍率）：电池容量乘数，取值为0.0、0.5、1.0、1.5 number_of_evs（电动车辆数量）：车队规模，取值为1、5、10 列说明： timestamps：以15分钟为间隔的日期与时间标记 power_applied.EV_X：车辆X的充放电功率（kW） soc.EV_X：车辆X的荷电状态，取值范围为0至1 prices：单位千瓦时电价（货币单位/kWh） fixed_power_contribution_per_component.load：场所基础用电负荷（kW） grid_builder_usage：电网净用电量（kW） total_load：包含电动车辆在内的总用电需求（kW） fixed_power_contribution_per_component.pv：太阳能光伏发电量（kW） EV_X.connected：车辆X的连接状态，布尔值类型 关键绩效指标（Key Performance Indicators, KPIs） 存储用于经济与技术评估的聚合式关键绩效指标。 文件命名规则： calculated_kpis_{use_case}_{investment_year_SBS}_{level_of_investment_cost}.csv 列说明： Charging Strategy：所采用的充电控制类型 Bat_Fleet_Size：电池容量倍率与车队规模的组合 Bat_Size：电池容量配置倍率 Fleet_Size：车队中的电动车辆数量 Electricity Costs：年度用电成本（单位：千欧元，k€） Peak Load：最大用电功率需求（kW） Annual Self-Consumption：自发自用能源占总发电量的百分比 Annual Self-Sufficiency：自发自用能源满足用电需求的百分比 battery_investment：储能电池系统投资成本 bidi_investment：双向充电基础设施投资成本 total_investment：总投资成本 annual_difference_elec_costs_ref_case：相较于基准场景的年度用电成本节约额 Amortization Time：投资回收期（单位：年） ROI：投资回报率（Return on Investment） 辅助数据目录 Load（负荷目录）：存储各场景的年度用电负荷曲线，展示基础用电情况 Prices（电价目录）：存储仿真中使用的电价数据 PV_Profiles（光伏曲线目录）：安装太阳能系统的场所的光伏发电量曲线