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

2021

Luo, Na, Marco Pritoni, and Tianzhen Hong."An overview of data tools for representing and managing building information and performance data."Renewable and Sustainable Energy Reviews 147 (2021) 111224. DOI

Lin, Guanjing, Marco Pritoni, Yimin Chen, Christopher Weyandt, Raphael Vitti, and Jessica Granderson."Fault “Auto-correction” for HVAC Systems: A Preliminary Study."The 6th International High Performance Buildings Conference at Purdue (2021).

2020

Fierro, Gabe, Anand Prakash, Cory Mosiman, Marco Pritoni, Paul Raftery, Michael Wetter, and David Culler."Interactive Metadata Integration with Brick."BuildSys '20: Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (2020). DOI

Bergmann, Harry, Cory Mosiman, Avijit Saha, Selam Haile, William Livingood, Steven Bushby, Gabe Fierro, Joel Bender, Michael Poplawski, Jessica Granderson, and Marco Pritoni."Semantic Interoperability to Enable Smart, Grid-Interactive Efficient Buildings."2020 Summer Study on Energy Efficiency in Buildings (2020). DOI

Pritoni, Marco, Anand Prakash, David Blum, Kun Zhang, Rui Tang, and Jessica Granderson."Advanced control sequences and FDD technology. Just shiny objects, or ready for scale?."ACEEE Summer Study 2020 (2020). DOI

Lin, Guanjing, Marco Pritoni, Yimin Chen, Jessica Granderson, Ricardo Moromisato, and Stephen Kozlen."Can We Fix It Automatically? Development of Fault Auto-Correction Algorithms for HVAC and Lighting Systems."ACEEE Summer Study (2020). DOI

Touzani, Samir, Marc Wudunn, Avideh Zakhor, Marco Pritoni, Reshma Singh, Harry Bergmann, and Jessica Granderson."Machine Learning for Automated Extraction of Building Geometry."The American Council for an Energy-Efficient Economy (2020).

Lin, Guanjing, Marco Pritoni, Yimin Chen, and Jessica Granderson."Development and Implementation of Fault-Correction Algorithms in Fault Detection and Diagnostics Tools."Energies 13 (2020). 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