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

Granderson, Jessica, Guanjing Lin, Yimin Chen, Armando Casillas, Jin Wen, Zhelun Chen, Piljae Im, Sen Huang, and Jiazhen Ling."A labeled dataset for building HVAC systems operating in faulted and fault-free states."Scientific Data 10 (2023). DOI

2022

Casillas, Armando, Guanjing Lin, Jessica Granderson, Sen Huang, and Yan Chen."Development of a Simulated Air Handling Unit Fault Dataset for FDD Tools: Lessons Learned and Considerations for FDD Developers."2022 ACEEE Summer Study on Energy Efficiency in Buildings (2022). DOI

Casillas, Armando, Yimin Chen, Guanjing Lin, Jessica Granderson, Sen Huang, and Zhelun Chen."Modeling Air Handling Units to Create a Diverse Fault Dataset for FDD Innovation: Lessons Learned and Recommendations."7th International High Performance Buildings Conference (2022). DOI

2021

Blum, David, Javier Arroyo, Sen Huang, Ján Drgoňa, Filip Jorissen, Harald Taxt Walnum, Yan Chen, Kyle Benne, Draguna Vrabie, Michael Wetter, and Lieve Helsen."Building optimization testing framework (BOPTEST) for simulation-based benchmarking of control strategies in buildings."Journal of Building Performance Simulation 14.5 (2021) 586 - 610. DOI

2019

Blum, David, Filip Jorissen, Sen Huang, Yan Chen, Javier Arroyo, Kyle Benne, Yanfei Li, Valentin Gavan, Lisa Rivalin, Lieve Helsen, Draguna Vrabie, Michael Wetter, and Marina Sofos."Prototyping the BOPTEST Framework for Simulation-Based Testing of Advanced Control Strategies in Buildings."IBPSA Building Simulation 2019 (2019).

2018

Huang, Sen, Ana Carolina Laurini Malara, Wangda Zuo, and Michael D Sohn."A Bayesian network model for the optimization of a chiller plant’s condenser water set point."Journal of Building Performance Simulation 11.1 (2018) 36 - 47. DOI

Huang, Sen, Wangda Zuo, and Michael D Sohn."A Bayesian Network model for predicting cooling load of commercial buildings."Building Simulation 11.1 (2018) 87 - 101. DOI

2017

Huang, Sen, Wangda Zuo, and Michael D Sohn."Improved cooling tower control of legacy chiller plants by optimizing the condenser water set point."Building and Environment 111 (2017) 33 - 46. DOI

2016

Huang, Sen, Wangda Zuo, and Michael D Sohn."Amelioration of the cooling load based chiller sequencing control."Applied Energy 168 (2016) 204 - 215. DOI