Building Technology and Urban Systems Division

Building Technology and Urban Systems Division

In the areas of Building Technology and Urban Systems (BTUS), ETA researchers conduct R&D and develop physical and information technologies to make buildings and urban areas more energy- and resource-efficient. These technologies create jobs and products for the marketplace in clean technology industries. They improve quality of life and reduce pollutant emissions, including climate-altering greenhouse gases.

The goal is to provide the technologies needed to operate buildings at 50 to 70 percent less energy use than is average today.

BTUS develops, demonstrates and deploys:

  • Information technologies for the real-time monitoring and control of buildings and facilities for improved energy efficiency and quality of life
  • Advanced lighting, and windows and daylighting systems
  • Software for energy-efficient building modeling, design and operation
  • Technologies and design practice for efficient high-technology buildings
  • Commercial and residential building technologies
  • Technical assistance to federal, state and local governments in efficient buildings
  • Data and tools to support cities' decision making on building energy efficiency
  • Occupant behavior data analytics, modeling and simulation to reduce energy use in buildings

Staff

Steve Kromer (510) 486-5988
Jared Langevin (202) 586-9611
Eleanor Lee (510) 486-4997
Sang Hoon Lee (510) 486-5811
Brennan Less (510) 486-6895
Ronnen Levinson (510) 486-7494
Hui Li (510) 486-7082
Han Li (510) 486-7082
Guanjing Lin (510) 486-5979
Ricky Liou (404) 451-7986
Zhongbing Liu (510) 486-4912
Jingjing Liu (510) 486-5410
Rona Luo
Lizi Luo
Xuan Luo (510) 486-5811

Pages

Publications by Organization

2016

Therkelsen, P. L., R. K. Cheng, and D. Sholes, Research and Development of Natural Draft Ultra-Low Emissions Burners for Gas Appliances, Lawrence Berkeley National Laboratory, Berkeley, 2016.
Lee, E. S. et al., Technology Assessments of High Performance Envelope with Optimized Lighting, Solar Control, and Daylighting, Lawrence Berkeley National Laboratory, Berkeley, CA, 2016.
Shehabi, A. et al., United States Data Center Energy Usage Report, 2016.
Granderson, J., S. Touzani, C. Taylor, and S. Fernandes, Will the Measurement Robots Take Our Jobs? An Update on the State of Automated M&V for Energy Efficiency Programs, Proceedings of the 2016 ACEEE Summer Study on Energy Efficiency in Buildings, Pacific Grove, CA, August 2016.", 2016.

2015

Pages