挖掘车到建筑（V2B）应用在数据中心负荷削峰上的优势
Exploiting the Benefits of V2B Application on Peak Shaving of Data Center Loads
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中文总结 AI 辅助
本文研究V2B应用对数据中心冷却负荷削峰的作用，通过对10MW数据中心的案例模拟，发现12-17点部署V2B资产可抵消13%-36%的总冷却负荷。
中文摘要 AI 辅助
数据中心项目的加速增长给整个电网带来了需求驱动的瓶颈，并导致碳排放大幅增加。这些担忧推动了关于利用现有能源资产提高运营效率的方法的讨论。为此，本文探索车到建筑（V2B）应用在支持数据中心冷却负荷削峰方面的优势。首先，针对V2B的约束条件和优化方法开展文献综述，涉及的因素包括荷电状态（SoC）限制、电动汽车（EV）参与度、电价以及建筑负荷。随后，基于该分析开发了弗吉尼亚州劳登县一座10兆瓦数据中心的概念案例研究，通过模拟与温度相关的负荷曲线，并调整40辆商用和乘用电动汽车（EV）的V2B参与度。仿真结果表明，根据冷却负荷需求的季节变化，在12点至17点之间战略性部署V2B资产，可抵消总冷却负荷的13%至36%。
英文摘要
The accelerated growth in data center projects has introduced a demand-driven bottleneck throughout power grids and contributed to a substantial increase in carbon emissions. These concerns are fueling discussions on methods to use existing energy assets to drive operational efficiency. To this end, this paper explores the benefits of Vehicle-to-Building (V2B) applications to support peak shaving of data center cooling loads. Initially, a literature review was conducted considering V2B constraints and optimization methods including SoC limitations, EV participation, tariffs, and building loads. This analysis was then used to develop a conceptual case study of a 10 MW data center in Loudoun County, VA by simulating a temperature-dependent load profile and adjusting the V2B participation of 40 commercial and passenger EVs. Simulation results indicate that, depending on seasonal variations in cooling load demands, strategic deployment of V2B assets between 12-5pm can offset gross cooling loads by 13-36%.
