Predictive-Maintenance Practices: For Operational Safety of Battery Energy Storage Systems
- Quanta Technology, Washington, DC (United States)
- NEC Energy Solutions, Westborough, MA (United States)
- National Inst. of Technology and Evaluation, Tokyo (Japan)
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Changes in the Demand Profile and a growing role for renewable and distributed generation are leading to rapid evolution in the electric grid. These changes are beginning to considerably strain the transmission and distribution infrastructure. Utilities are increasingly recognizing that the integration of energy storage in the grid infrastructure will help manage intermittency and improve grid reliability. This recognition, coupled with the proliferation of state-level renewable portfolio standards and rapidly declining lithium-ion (Li-ion) battery costs, has led to a surge in the deployment of battery energy storage systems (BESSs). Additionally, although BESSs represented less than 1% of grid-scale energy storage in the United States in 2019, they are the preferred technology to meet growing demand because they are modular, scalable, and easy to deploy across diverse use cases and geographic locations.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE Office of Electricity Delivery and Energy Reliability (OE); USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- AC04-94AL85000; NA0003525
- OSTI ID:
- 1725834
- Report Number(s):
- SAND--2020-11629J; 692048
- Journal Information:
- IEEE Power & Energy Magazine, Journal Name: IEEE Power & Energy Magazine Journal Issue: 6 Vol. 18; ISSN 1540-7977
- Publisher:
- IEEECopyright Statement
- Country of Publication:
- United States
- Language:
- English
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