Exploiting the Benefits of V2B Application on Peak Shaving of Data Center Loads
Arya Joshi, Hamed Haggi, Chinmay Morankar
Abstract
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%.
Create a lesson
Related papers
Leader-Follower Formation Control with Prescribed Convergence Rates under Bearing Persistence of Excitation
Tarek Bouazza, Zhiqi Tang, Soulaimane Berkane et al.
On asymptotic stability of the time-varying Kalman filter for unstabilizable linear systems: an optimization perspective
James B. Rawlings, Titus Quah, Matthias A. Müller
Designing Grid-Aware Dynamic Specifications for Large Data Center Loads
Ashutossh Gupta, Vassilis Kekatos
Time-Optimal Operation of a Load-Hoisting Gantry Crane
Eric Mountain, Tarunraj Singh
Learning to Solve Two-Stage Stochastic Unit Commitment Problems with Quality Guarantees
Andrea Fusco, Andrea Lodi, Lavanya Marla
Towards Interaction Regulation from Human Feedback via Free Energy Minimization
Maria Paula Diaz Monfort, Cinzia Tomaselli, Michael Richardson et al.