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Hierarchical approach to evaluating storage requirements for renewable-energy-driven grids
Zabir Mahmud1, Kenji Shiraishi2, Mahmoud Y Abido3,4
1Environmental Systems Graduate Program, School of Engineering, University of California Merced, Merced, CA 95343, USA.
This study presents a method to determine optimal energy storage needs for electrical grids. It reveals how wind and solar generation profiles impact storage cycling and seasonal storage requirements.
Area of Science:
- Energy systems analysis
- Electrical grid decarbonization
- Renewable energy integration
Background:
- The transition to renewable energy sources necessitates effective energy storage solutions for grid stability.
- Investors and manufacturers require methods to assess energy storage needs across diverse operational scenarios.
- Decarbonizing the electrical grid relies heavily on the development and deployment of advanced energy storage technologies.
Purpose of the Study:
- To introduce a strategy for identifying the most valuable energy storage types for specific grid generation and load profiles.
- To estimate key performance metrics for energy storage systems, including cycle counts, charge duration, and charge/discharge rates.
- To provide insights into the requirements of future complex energy systems.
Main Methods:
- Development of a hierarchical approach to analyze energy storage requirements.
- Estimation of annual minimum cycles, charge holding duration, and charge/discharge rates for idealized systems.
- Quantification of differences in storage cycling between wind- and solar-driven grids.
Main Results:
- Wind-driven grids exhibit fewer nighttime storage cycles compared to solar-driven grids.
- Winter-dominant wind generation and latitude-tilt solar can decrease the demand for seasonal energy storage.
- Energy storage products with higher cycle frequencies require greater discharging rates.
Conclusions:
- The proposed method effectively identifies optimal energy storage solutions tailored to specific grid conditions.
- Understanding generation profiles is crucial for optimizing energy storage deployment and reducing operational demands.
- This research informs the strategic development of energy storage technologies for a decarbonized electrical grid.
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