Mahmud Zabir, Shiraishi Kenji, Abido Mahmoud Y, Sánchez-Pérez Pedro Andrés, Kurtz Sarah R
Environmental Systems Graduate Program, School of Engineering, University of California Merced, Merced, CA 95343, USA.
Goldman School of Public Policy, University of California, Berkeley, 450 Sutardja Dai Hall, Berkeley, CA 94720, USA.
iScience. 2022 Dec 28;26(1):105900. doi: 10.1016/j.isci.2022.105900. eCollection 2023 Jan 20.
Energy storage can accelerate the decarbonization of the electrical grid. As useful energy storage technologies are developed, investors and manufacturers want to determine the needs for storage in a wide range of scenarios. In this study, we introduce a strategy for identifying the types of storage that will be most valuable to the grid given specific generation and load profiles. This method estimates the annual minimum number of cycles for each storage, how long each holds the charge, and charging and discharging rates for an idealized system, giving insight into tomorrow's complex systems. We demonstrate the proposed hierarchical approach and quantify how many fewer times wind-driven grids cycle the storage at night compared with solar-driven grids, as well as how winter-dominant wind generation and latitude-tilt solar may reduce the need for seasonal storage. Also, we quantify how higher discharging rates are required for energy storage products that cycle most frequently.
能量存储可以加速电网的脱碳进程。随着实用的能量存储技术不断发展，投资者和制造商希望确定在各种场景下的存储需求。在本研究中，我们介绍了一种策略，用于确定在给定特定发电和负荷曲线的情况下，对电网最有价值的存储类型。该方法估计了每个存储的年度最小循环次数、每次存储电荷的时长以及理想化系统的充电和放电速率，从而深入了解未来复杂的系统。我们展示了所提出的分层方法，并量化了与太阳能驱动的电网相比，风力驱动的电网在夜间使存储循环的次数少多少，以及冬季主导的风力发电和纬度倾斜的太阳能如何减少季节性存储的需求。此外，我们还量化了循环最频繁的能量存储产品需要多高的放电速率。
