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 technology to make buildings and urban areas more energy- and resource-efficient. This technology creates 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 technology needed to operate buildings at 50 to 70 percent less energy use than is average today.

BTUS develops, demonstrates and deploys:

  • Information technology 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
  • Technology and design practice for efficient high-technology buildings
  • Commercial and residential building technology
  • 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


Sang Hoon Lee (510) 486-5811
Brennan Less (510) 486-6895
Ronnen Levinson (510) 486-7494
Han Li (510) 486-7082
Guanjing Lin (510) 486-5979
Jingjing Liu (510) 486-5410
Rona Luo (510) 486-4062
Xuan Luo (510) 486-5578
Paul Mathew (510) 486-5116
Alan Meier (510) 486-4740
Bill Miller (510) 486-4867
Robin Mitchell (510) 486-4141
Molly Morabito (510) 486-6042
Sarah Morgan (510) 486-7297
Alexander Newkirk (510) 486-4185


Publications by Organization


Pritoni, M. and D. M. Auslander, Operating Systems for Small/Medium Commercial Buildings, in Intelligent Building Control Systems, Wen, J. T. and S. Mishra, Eds. Cham: Springer International Publishing, 2017, pp. 45 - 69.
Luo, X., K. Poh Lam, Y. Chen, and T. Hong, Performance Evaluation of an Agent-based Occupancy Simulation Model, Building and Environment, vol. 115, 2017.
McKane, A. T. et al., Predicting the quantifiable impacts of ISO 50001 on climate change mitigation, Energy Policy, vol. 107, pp. 278 - 288, 2017.
Chen, Y., X. Liang, T. Hong, and X. Luo, Simulation and visualization of energy-related occupant behavior in office buildings, Building Simulation, vol. 10, no. 6, pp. 785–798, 2017.
Belafi, Z., T. Hong, and A. Reith, Smart Building Management vs. Intuitive Human Control — Lessons learnt from an office building in Hungary, Building Simulation, vol. 10, no. 6, pp. 811-828, 2017.
Fernandes, S. and J. Granderson, The State of Advanced Measurement and Verification Technology and Industry Application, The Electricity Journal, vol. 30, no. 8, pp. 8-16, 2017.
Franconi, E. M. et al., The Status and Promise of Advanced M&V: An Overview of “M&V 2.0” Methods, Tools, and Applications, Lawrence Berkeley National Laboratory, Berkeley, 2017.
Singla, R. and J. Granderson, Using EMIS to Identify Top Opportunities for Commercial Building Efficiency, Lawrence Berkeley National Laboratory, Berkeley, 2017.
Geisler-Moroder, D., E. S. Lee, and G. J. Ward, Validation of the Five-Phase Method for Simulating Complex Fenestration Systems with Radiance against Field Measurements, 15th International Conference of the International Building Performance Simulation Association. 2017.