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)

2024

Ham, Sang woo, Lazlo Paul, Armando Casillas, Anand Prakash, Donghun Kim, Richard E Brown, Marco Pritoni, and Peter Grant."Practical challenges of model predictive control (MPC) for grid interactive small and medium commercial buildings."ACEEE Summer Study (2024).

Ham, Sang woo, Lazlo Paul, Donghun Kim, Marco Pritoni, Richard E Brown, and Jingjuan Feng."Decarbonization of heat pump dual fuel systems using a practical model predictive control: Field demonstration in a small commercial building."Applied Energy 361 (2024) 122935. DOI

2023

Ham, Sang woo, Donghun Kim, Tanya Barham, and Kent Ramseyer."The first field application of a low-cost MPC for grid-interactive K-12 schools: Lessons-learned and savings assessment."Energy and Buildings 296 (2023) 113351. DOI

Kim, Donghun, and Sang woo Ham."ActiveBAS: A Low-cost, Scalable Control Solution for Grid-Interactive Small and Medium Sized Commercial Buildings (CRADA Final Report)." (2023). DOI

2022

Zanetti, Ettore, Donghun Kim, David Blum, Rossano Scroccia, and Marcello Aprile."Performance comparison of quadratic, nonlinear, and mixed integer nonlinear MPC formulations and solvers on an air source heat pump hydronic floor heating system."Journal of Building Performance Simulation (2022) 1 - 19. DOI

Kim, Donghun, Zhe Wang, James Brugger, David Blum, Michael Wetter, Tianzhen Hong, and Mary Ann Piette."Site demonstration and performance evaluation of MPC for a large chiller plant with TES for renewable energy integration and grid decarbonization."Applied Energy 321 (2022) 119343. DOI

Blum, David, Zhe Wang, Chris Weyandt, Donghun Kim, Michael Wetter, Tianzhen Hong, and Mary Ann Piette."Field demonstration and implementation analysis of model predictive control in an office HVAC system."Applied Energy 318 (2022) 119104. DOI

2021

Ahn, Hyeunguk, Jingjing Liu, Donghun Kim, Rongxin Yin, Tianzhen Hong, and Mary Ann Piette."How Can Floor Covering Influence Buildings’ Demand Flexibility?."Energies 14.12 (2021) 3658. DOI

2020

Drgoňa, Ján, Javier Arroyo, Iago Cupeiro Figueroa, David Blum, Krzysztof Arendt, Donghun Kim, Enric Perarnau Ollé, Juraj Oravec, Michael Wetter, Draguna L Vrabie, and Lieve Helsen."All you need to know about model predictive control for buildings."Annual Reviews in Control (2020). DOI

Kim, Donghun, Yeonjin Bea, Sehyun Yun, and James E Braun."A methodology for generating reduced-order models for large-scale buildings using the Krylov subspace method."Journal of Building Performance Simulation 13.4 (2020) 419 - 429. DOI