Research Themes +
Energy Technologies Area (ETA) researchers are continually building on the strong scientific foundation we have developed over the past 50 years. We address the world’s most pressing climate challenges by bringing to market energy-efficient innovations across the buildings, transportation, and industrial sectors. ETA is at the forefront of developing better batteries for electric vehicles; improving the country's aging electrical grid and innovating distributed energy and storage solutions; developing grid-interactive, efficient buildings; and providing the most comprehensive market and data analysis worldwide for renewable technologies like wind and solar.
Strategic Initiatives +
The Energy Technologies Area (ETA) Strategic Plan is the guiding force for our research and development for the next ten years. It clearly charts a path toward clean-energy solutions and focuses on five detailed Strategic Initiatives. The Plan provides an in-depth look at how ETA is accelerating research to provide affordable, clean energy to all while accomplishing deep, economy-wide decarbonization, looking to avoid a rise in global average temperature while simultaneously developing solutions to increase humanity's resilience to extreme weather volatility.
Publications
News +
For media inquiries,
please contact ETA
Interim Communications Manager
Kiran Julin

kjulin@lbl.gov
About Us +
The Energy Technologies Area (ETA) is unique in translating fundamental scientific discoveries into scalable technology adoption. Our approach combines an understanding of the marketplace and the role of state and federal regulation and policies. ETA's research drives real-world, practical results that affect and improve the everyday lives of Americans and those across the globe. Saving energy and battling the Climate Crisis are key to the foundation of our research, which is driven by technoeconomic analysis and in-lab experimentation and discovery.

Publications

Publications by Research Area

Demand Response

Electricity Markets & Policy

Energy Efficiency

Industrial Energy Analysis

Renewable Energy

Sustainable Energy & Environmental Systems

Publications by Division

Building Technology (BTUS)

Energy Analysis (EAEI)

Energy Storage (ESDR)

2019

Hu, R L, Jessica Granderson, David M Auslander, and Alice M Agogino."Design of machine learning models with domain experts for automated sensor selection for energy fault detection."Applied Energy 235 (2019) 117 - 128. DOI

2017

Wen, John T, Sandipan Mishra, Marco Pritoni, and David M Auslander."Operating Systems for Small/Medium Commercial Buildings."Intelligent Building Control Systems (2017) 45 - 69. DOI

2015

Arnold, Daniel, Matias Negrete-Pincetic, Emma M Stewart, David M Auslander, and Duncan S Callaway."Extremum Seeking Control of Smart Inverters for VAR Compensation."Power & Energy Society General Meeting, IEEE (2015).

2012

Eto, Joseph H, Nancy J Lewis, David S Watson, Sila Kiliccote, David M Auslander, Igor Paprotny, and Yuri V Makarov."Demand Response as a System Reliability Resource."Public Interest Energy Research (PIER) Program (2012).

Najafi, Massieh, David M Auslander, Peter L Bartlett, Philip Haves, and Michael D Sohn."Application of machine learning in the fault diagnostics of air handling units."Applied Energy 96 (2012) 347 - 358. DOI

2010

Najafi, Massieh, David M Auslander, Philip Haves, and Michael D Sohn."A Statistical Pattern Analysis Framework for Rooftop Unit Diagnostics."International Journal of Heating, Ventilating, Air-Conditioning and Refrigeration Research (2010).

Najafi, Massieh, David M Auslander, Peter L Bartlett, Philip Haves, and Michael D Sohn."Modeling and Measurement Constraints in Fault Diagnostics for HVAC Systems."ASME Journal of Dynamic Systems, Measurement, and Controls (2010).

2008

Najafi, Massieh, David M Auslander, Peter L Bartlett, and Philip Haves."Fault Diagnostics and Supervised Testing: How Fault Diagnostic tools can be Proactive?."Eleventh International Conference on Intelligent Systems and Controls (2008).

Najafi, Massieh, David M Auslander, Peter L Bartlett, and Philip Haves."Overcoming the Complexity of Diagnostic Problems due to Sensor Network Architecture."Eleventh International Conference on Intelligent Systems and Controls (2008).

Najafi, Massieh, David M Auslander, Peter L Bartlett, and Philip Haves."Application of Machine Learning in Fault Diagnostics of Mechanical Systems."International Conference on Modeling, Simulation and Control (2008).

2002

Federspiel, Clifford C, Huilin Li, David M Auslander, David M Lorenzetti, and Ashok J Gadgil."Modeling Transient Contaminant Transport in HVAC Systems and Buildings."Indoor Air 2002, June 30 - July 5, 2002 (2002) 217-222.