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)

2023

Sparti, Chelsi, Peter H Larsen, and Tyler Huntington."The Value of Sharing and Consolidating Critical Community, Electricity, and Natural Hazard Information." (2023).

Huntington, Tyler, Nawa Raj Baral, Minliang Yang, Eric R Sundstrom, and Corinne D Scown."Machine learning for surrogate process models of bioproduction pathways."Bioresource Technology 370 (2023) 128528. DOI

2022

Comesana, Ana, Tyler Huntington, Corinne D Scown, Kyle Niemeyer, and Vi H Rapp."A systematic method for selecting molecular descriptors as features when training models for predicting physiochemical properties."Fuel 321 (2022) 123836. DOI

2021

Wang, Yan, Tyler Huntington, and Corinne D Scown."Tree-Based Automated Machine Learning to Predict Biogas Production for Anaerobic Co-digestion of Organic Waste."ACS Sustainable Chem. 9.38 (2021) 12990–13000. DOI

Scown, Corinne D, Nawa Raj Baral, Minliang Yang, Nemi Vora, and Tyler Huntington."Technoeconomic analysis for biofuels and bioproducts."Current Opinion in Biotechnology 67 (2021) 58-64.

2020

Huntington, Tyler, Xinguang Cui, Umakant Mishra, and Corinne D Scown."Machine learning to predict biomass sorghum yields under future climate scenarios."Biofuels, Bioproducts and Biorefining 14.3 (2020) 566 - 577. DOI

Jin, Ling, Corinne D Scown, Tin Ho, Tyler Huntington, and Wei Zhou."Smelly-Odor Webtool (Smelly) v1." (2020). DOI

2019

Mayer, Morgan A, Tyler Huntington, Ana Comesana, Vi H Rapp, and Kyle Niemeyer."Can machine learning predict fuel properties accurately?."2019 WSSCI Fall Technical Meeting (2019).

2018

Cui, Xinguang, Olga Kavvada, Tyler Huntington, and Corinne D Scown."Strategies for near-term scale-up of cellulosic biofuel production using sorghum and crop residues in the U.S.."Environmental Research Letters (2018). DOI

Breunig, Hanna, Tyler Huntington, Ling Jin, Alastair Robinson, and Corinne D Scown."Dynamic Geospatial Modeling of the Building Stock To Project Urban Energy Demand."Environmental Science & Technology 52.14 (2018) 7604 - 7613. DOI

Breunig, Hanna, Tyler Huntington, Ling Jin, Alastair Robinson, and Corinne D Scown."Temporal and geographic drivers of biomass residues in California."Resources, Conservation and Recycling 139 (2018) 287 - 297. DOI