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: BTUS Energy Analytics

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)

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2020

Liu, Jingjing, Rongxin Yin, Marco Pritoni, Mary Ann Piette, and Monica Neukomm."Developing and Evaluating Metrics for Demand Flexibility in Buildings: Comparing Simulations and Field Data."ACEEE Summer Study (2020). DOI

Clark, Callie, Anand Prakash, Marco Pritoni, Margarita Kloss, Pranav Gupta, Bruce Nordman, and Mary Ann Piette."Harvesting the low-hanging fruit of high energy savings -- Virtual Occupancy using Wi-Fi Data."ACEEE Summer Study (2020).

Bergfeld, Katie, Paul A Mathew, Marshall Duer-Balkind, James Perakis, Pegah Noori khah, Travis Walter, and Andrew Held."Making Data-Driven Policy Decisions for the Nation’s First Building Energy Performance Standards."ACEEE Summer Study on Buildings 2020 (2020). DOI

Alstone, Peter, Richard E Brown, Marco Pritoni, David Blum, Kun Zhang, and Anand Prakash."Resilient buildings for fire-adapted landscapes: EE and flexible loads integrated with solar and storage microgrids."ACEEE Summer Study 2020 (2020).

Chen, Yimin, Eliot Crowe, Guanjing Lin, and Jessica Granderson."What's in a Name? Developing a Standardized Taxonomy for HVAC System Faults."2020 ACEEE Summer Study on Energy Efficiency in Buildings (2020). DOI

Prakash, Anand, Kun Zhang, Pranav Gupta, David Blum, Marc Marshall, Gabe Fierro, Peter Alstone, James Zoellic, Richard E Brown, and Marco Pritoni."Solar+ Optimizer: A Model Predictive Control Optimization Platform for Grid Responsive Building Microgrids."Energies 13.12 (2020) 3093. DOI

Lin, Guanjing, Hannah Kramer, and Jessica Granderson."Building fault detection and diagnostics: Achieved savings, and methods to evaluate algorithm performance."Building and Environment 168 (2020) 106505. DOI

Prakash, Anand, Samir Touzani, Mariam Kiran, Shreya Agarwal, Marco Pritoni, and Jessica Granderson."Deep Reinforcement Learning in Buildings: Implicit Assumptions and their Impact."RLEM'20: Proceedings of the 1st International Workshop on Reinforcement Learning for Energy Management in Buildings & Cities (2020). DOI

Sanchez, Lino, Paul A Mathew, Sang Hoon Lee, and Travis Walter."Developing and Evaluating a Metric for Office Building Energy Resilience During a Power Outage."2020 Summer Study on Energy Efficiency in Buildings (2020).

2019

Piette, Mary Ann, Reshma Singh, and Anand Prakash."Evaluation of the Need for and Design of a City Energy Operations System."Proceedings of the 1st ACM International Workshop on Urban Building Energy Sensing, Controls, Big Data Analysis, and Visualization - UrbSys'19 (2019). DOI

Granderson, Jessica, Samir Touzani, Eliot Crowe, Samuel Fernandes, Shankar Earni, and Kaiyu Sun."Realizing high-accuracy low-cost measurement and verification for deep cost savings." (2019). DOI

Singh, Reshma, Paul A Mathew, Jessica Granderson, and Yash Shukla."Energy Information Systems: From the Basement to the Boardroom." (2019). DOI

Crowe, Eliot, Jessica Granderson, and Samuel Fernandes."From Theory to Practice: Lessons Learned from an Advanced M&V Commercial Pilot."International Energy Program Evaluation Conference (2019).

Meier, Alan K."The Energy Costs of Moisture."Home Energy Magazine (2019).

Frank, Stephen, Guanjing Lin, Xin Jin, Rupam Singla, Amanda Farthing, and Jessica Granderson."A performance evaluation framework for building fault detection and diagnosis algorithms."Energy and Buildings 192 (2019) 84 - 92. DOI

Singh, Reshma, Baptiste Ravache, and Mary Ann Piette."Energy Modeling in Urban Districts: Forecast of multi-sector Energy Use and GHG Emissions." (2019).

Touzani, Samir, Jessica Granderson, David A Jump, and Derrick Rebello."Evaluation of Methods to Assess the Uncertainty in Estimated Energy Savings."Energy and Buildings 193 (2019). DOI

Kramer, Hannah, Guanjing Lin, Claire Curtin, Eliot Crowe, and Jessica Granderson."Building analytics and monitoring-based commissioning: industry practice, costs, and savings."Energy Efficiency (2019). DOI

Wang, Zhe, Tianzhen Hong, and Mary Ann Piette."Predicting plug loads with occupant count data through a deep learning approach."Energy 181 (2019) 29 - 42. DOI

Mills, Evan, Norman Bourassa, Leo I Rainer, Jimmy Mai, Ian Vaino, Claire Curtin, Arman Shehabi, Louis-Benoit Desroches, and Nathaniel Mills."A Plug-Loads Game Changer: Computer Gaming Energy Efficiency without Performance Compromise." (2019).

Hart, Nora, Tripp Shealy, Kristen Parrish, and Jessica Granderson."Cognitive barriers during monitoring-based commissioning of buildings."Sustainable Cities and Society 46 (2019) 101389. DOI

Wang, Wei, Tianzhen Hong, Xiaodong Xu, Jiayu Chen, Ziang Liu, and Ning Xu."Forecasting district-scale energy dynamics through integrating building network and long short-term memory learning algorithm."Applied Energy 248 (2019) 217 - 230. DOI

Walter, Travis, and Paul A Mathew."Is the BPD Nationally Representative? A Comparison of the Building Performance Database to the Commercial Buildings Energy Consumption Survey." (2019).