Energy Storage and Distributed Resources Division

Energy Storage and Distributed Resources Division

ETA researchers in the Energy Storage and Distributed Resources Division conduct R&D and develop technologies that provide the electricity grid with significant storage capability for:

  • energy generated from renewable sources
  • real-time monitoring and response technologies for the “smart grid” to optimize energy use and communication between electricity providers and consumers
  • technologies for improved electricity distribution reliability

Their goal is to identify and develop technologies, policies and strategies to enable a shift to renewable energy sources at $1 per watt for a low-cost, low-carbon, reliable electric grid.

Researchers develop, demonstrate and deploy:

  • Advanced battery and fuel cell technologies for both transportation and stationary applications
  • Microgrid technologies that allow enterprises and communities to supply their own clean energy
  • Real-time smart grid/demand response technologies to allow energy users, suppliers and grid operators to run efficiently
  • Software and hardware technologies to improve the reliability of the grid
  • Very low-emissions combustion technologies
  • Advanced physical and chemical sensors for developing new energy materials and detecting hazardous waste

Staff

Adrian Albert (510) 213-1220
Judith Alvarado (510) 486-4501
Daniel Arnold (858) 344-3759
Progna Banerjee (510) 486-6002
Vince Battaglia (510) 486-7172
Maxime Baudette (510) 486-6845
Doug Black (510) 486-7904
Sam Blau (510) 847-1029
Kate Britton (510) 495-8894
Marie Butson (510) 486-7456
Elton Cairns (510) 486-5028
Duncan Callaway (510) 486-6845
Saheli Chakraborty (510) 642-8973
George Chan (510) 486-4462
Dongchang Chen (510) 486-5843

Pages

Publications by Organization

2018

Prasher, R. S., Acoustic Mismatch Model for Thermal Contact Conductance of Van Der Waals Contacts Under Static Force, Nanoscale and Microscale Thermophysical Engineering, vol. 22, no. 1, pp. 1 - 5, 2018.
Zheng, C. et al., Automated generation and ensemble-learned matching of X-ray absorption spectra, npj Computational Materials, vol. 4, p. 12, 2018.
Tian, C. et al., Depth-dependent redox behavior of LiNi0.6Mn0.2Co0.2O2, Journal of the Electrochemical Society, vol. 165, pp. A696-A704, 2018.
Kitchaev, D. A. et al., Design principles for high transition metal capacity in disordered rocksalt Li-ion cathodes, Energy and Environmental Science, vol. 11, pp. 2159-2171, 2018.
Pant, L. M., Z. Yang, M. L. Perry, and A. Z. Weber, Development of a Simple and Rapid Diagnostic Method for Polymer-Electrolyte Fuel Cells, Journal of The Electrochemical Society, vol. 165, no. 6, pp. F3007 - F3014, 2018.
Tucker, M. C., Dynamic-temperature operation of metal-supported solid oxide fuel cells, Journal of Power Sources, vol. 395, pp. 314 - 317, 2018.
Ross, M. B. et al., Efficient hydrogen peroxide generation using reduced graphene oxide-based oxygen reduction electrocatalysts, Nature CatalysisNature CatalysisNature Catalysis, vol. 1 , pp. 282-290 , 2018.

Pages