ESTPThe contemporary grid limits renewable energy and other distributed energy sources from being economically and reliably integrated into the grid. While a national renewable energy portfolio standard (RPS) has yet to be established, 35 states have forged ahead with their own RPS programs and policies. As this generation becomes a larger portion of a utility’s portfolio, it may decrease the utility’s ability to provide dispatchable energy and maintain grid frequency, voltage, and inertia, which could in turn disrupt the ability to provide reliable service.

Currently, utilities use controllable generators to meet electricity demand and to maintain grid reliability and stability. As renewable energy penetration increases, these controllable generators will be replaced, making it difficult to meet demand and provide reliable and stable services.

Energy storage provides a solution to this issue. By incorporating energy storage into their network, a utility can compensate for renewable generation variability through energy time-shifting and maintain network stability. Additionally, even without increased renewables penetration, the grid requires many services for reliable and stable operation. Energy storage has the potential to provide a more cost effective solution than current grid assets.

Sandia collaborates with industry, academia, and government to reduce the cost of storage, demonstrate the effectiveness of storage technologies in the grid, and analyze policy options to value and perpetuate storage integration. Sandia deploys an integrated approach to grid storage challenges, from technology development through testing and demonstration.

Hydrogen Storage

Hydrogen and Fuel Cells program is developing technologies to accelerate large-scale deployment of hydrogen storage.

Thermal Storage

Sandia’s Concentrating Solar Power (CSP) program is developing molten salt thermal storage systems for grid-scale energy storage.

Battery Materials

Sandia has a large portfolio of R&D projects related to advanced materials to support the development of lower cost energy storage technologies including new battery chemistries, electrolyte materials, and membranes.

Systems Modeling

Sandia is performing research in a number of areas on the reliability and safety of energy storage systems including simulation, modeling, and analysis,  from cell components to fully integrated systems.

Systems Analysis

Sandia has extensive infrastructure to evaluate megawatt-hour class energy storage systems in a grid-tied environment to enable industry acceptance of new energy storage technologies.

Cell & Module Level Safety

Sandia has exceptional capabilities to evaluate fundamental safety mechanisms from cell to module level for applications ranging from electric vehicles to military systems.

Power Conversion Systems

Leveraging exceptional strengths in power electronics, Sandia has unique capabilities to characterize the reliability of power electronics and power conversion systems.

Grid Analytics

Analytical and multi-physics models to understand risk and safety of complex systems, optimization, and efficient utilization of energy storage systems in the field.

Two Sandia Papers Selected as “Best Papers” at the 2016 IEEE Power and Energy Society General Meeting

Research funded by the OE Energy Storage Program, under the direction of Dr. Imre Gyuk, was recently recognized with best paper awards at the 2016 IEEE Power and Energy Society (PES) General Meeting that was [...]

Sandia National Laboratories Develops Guidance Document for Energy Storage Procurement

Through a partnership with Clean Energy States Alliance (CESA) and Clean Energy Group, Sandia has created a procurement guideline that offers useful information for states, municipalities, project developers, and end users to consider as they [...]

Sandia Wins Funding for Two DOE-EERE Computer-Aided Battery-Safety R&D Projects

Two recent energy storage modeling and simulation (mod/sim) R&D proposals developed by Scott Roberts (in Sandia’s Thermal/Fluid Component Sciences Dept.) have been funded. Sandia’s participation in these research activities stems from an ongoing Laboratory-Directed Research [...]

Sandia Participates in Preparation of New Mexico Renewable Energy Storage Report

New Mexico Governor Martinez and Energy, Minerals, & Natural Resources Department Secretary Martin released the New Mexico Energy Policy and Implementation Plan in mid-September. New Mexico is one of the most energy-rich and energy-diverse states [...]

Lightweight Distributed Metric Service (LDMS) v2.2

High performance computing is crucial to advances in application areas as diverse as national security, genomics, health care, materials science, and climate science. A large-scale HPC platform can cost hundreds of millions of dollars, with annual power consumption costs for computing and cooling in the millions. In this era of big data, the expectations of and demands on HPC systems in production environments are intense and increasing.

LDMS is the first platform-independent monitoring tool that provides near-real-time, synchronized, high fidelity, HPC system-wide awareness down to one-second-or-less intervals across tens of thousands of nodes with little to no adverse impact on user applications running on the system.

LDMS is a game changer for operators, users, and purchasers of large Linux-based systems. LDMS enables understanding of a system’s aggregate workload demands and the complexity of application interactions in a production context. This understanding will lead to better HPC system and application scalability and more efficient operation through improved configuration of current systems, as well as more-informed specification of future systems. With LDMS, HPC stakeholders can now gather snapshots of system state and make critical decisions on the fly that can significantly enhance performance; collect detailed system-wide data about application interactions for historical comparison, decision making, and resource optimization; and gain unique insights useful for development of future HPC architectures.

The data provided by LDMS are unique in scope and fidelity, opening doors for researchers to investigate new and potentially impactful areas such as run-time resource-aware adaptive computing and failure prediction that will ultimately enable more energy efficient, more reliable, and more productive use of existing HPC systems.

Ultimately, LDMS offers significantly greater “bang for the buck” for those investing in and using large-scale HPC systems, which will ultimately lead to a better and more productive world science enterprise. View poster (PDF).

Energy Storage Systems (ESS)

The Office of Electricity Delivery & Energy Reliability (OE) drives electric grid modernization and resiliency in the energy infrastructure.

Sandia’s Energy Storage Program performs research and development on a wide variety of storage technologies. This broad technology base includes batteries (both conventional and advanced), flywheels, electrochemical capacitors, superconducting magnetic energy storage (SMES), power electronics, and control systems.

Energy Storage Systems logo

The goal of Energy Storage Systems (ESS) is to develop advanced energy-storage technologies and systems, in collaboration with industry, academia, and government institutions, that will increase the reliability, performance, and competitiveness of electric generation and transmission in utility-tied and off-grid systems.

ESS has been instrumental in the research and development of energy-storage technologies and applications since the 1970s, especially as storage relates to electric utilities, renewables, and grid security.