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California grid electrical energy storage requirements for select renewables integration and fleet electrification scenarios

Citation

Raju, Arun S.K.; Vu, Alexander (2020), California grid electrical energy storage requirements for select renewables integration and fleet electrification scenarios, Dryad, Dataset, https://doi.org/10.6086/D1667N

Abstract

Significant electrification of the transportation sector is necessary for the State to achieve several important greenhouse gas (GHG) reduction and renewable energy targets. The State’s electricity generation and transmission capabilities must increase in order to meet the demand generated by increasing levels of fleet electrification. The increased demand, combined with the Renewables Portfolio Standard (RPS) targets will require significantly increased energy storage capabilities that can accommodate demand while integrating renewable power sources into the grid. This project evaluated the mid to long-term energy storage needs of the electric grid for select fleet electrification scenarios. The analysis was conducted using Resolve, a power systems planning model, for RPS targets of 60% and 80% by 2030 and 2042 respectively. The results show that Electrical Energy Storage (EES) capacity requirements depend on a number of parameters, including Demand Response (DR), Electric Vehicle (EV) charging flexibility, and total EV population. The EES requirements for the 60% RPS scenarios range from 3.9 to 4.3 GW while for the 80% RPS scenarios, the range is from 18.5 to 20.4 GW.

Methods

The dataset was collected from the results of simulations performed using the Resolve model (https://www.cpuc.ca.gov/General.aspx?id=6442462824) to assess the Electrical Energy Storage requirements of California's electricity grid under select scenarios. The Resolve model results have been processed to create the dataset.

Usage Notes

The datasets are self explanatory within the context of the main report. Each individual tab in the Excel spreadsheets are assigned a descriptive name and the Tables and Figures have descriptive title columns.

Funding

National Center for Sustainable Transportation (NCST), Award: USDOT Grant 69A3551747114