About Us +
Researchers in the Building Technology & Urban Systems Division (BTUS) at Lawrence Berkeley National Laboratory develop data and technologies that increase energy efficiency and improve the health, safety and comfort of building occupants, in the United States and worldwide.

We work closely with industry partners, academics and government officials to achieve these goals, and share our research widely
Research +
We are at the forefront of cutting-edge research that redefines building technology and explores all areas of urban systems.

We have been leaders for decades in developing energy-efficient windows, improving indoor air quality, coming up with new ideas to fix the nation's electricity grid, and so much more.

Visit our research areas at the right to find out more.
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Publications +
Enjoy presentations from Building Technology & Urban systems research experts on a wide variety of topics in the areas of building energy efficiency, the electricity grid and how it relates to buildings and much more.
- Presentations
News
Tools & Guides +
Explore our tools, guidebooks and software and download for free.

We offer a variety of technologies designed to simulate and model real-world circumstances to assist in energy-saving programs and help building owners build better buildings. These tools can help calculate performance of building systems like windows and shades, help consumers and builders pick the best windows for a variety of applications and much more.

Publications

Publications By Research Area

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