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

Ryan Dickerhoff (510) 486-4148
Prabal Dutta
Shankar Earni (510) 486-7126
Alison Farmer (646) 823-5242
Luis Fernandes (510) 495-8892
Sam Fernandes (510) 486-4048
Chiara Ferrari
Christian Fitting
Alex Frank (914) 473-1522
Daniel Fuller (510) 486-6496
Christoph Gehbauer (510) 701-3473
Daniel Gerber (978) 505-2305
Haley Gilbert (510) 486-7325
Howdy Goudey (510) 486-5981
Jessica Granderson (510) 486-6792

Pages

Publications by Organization

2017

Liu, J. and A. T. McKane, Guide for Determining Energy Savings from Changes in Operations, Behavior, and Maintenance Procedures, Lawrence Berkeley National Laboratory, Berkeley, 2017.
Liu, J., P. Rao, P. L. Therkelsen, P. Sheaffer, P. Scheihing, and Y. Tamm, ISO 50001 and SEP Faster and Cheaper - Exploring the Enterprise-Wide Approach, Lawrence Berkeley National Laboratory, Berkeley, 2017.
Luo, X., K. Poh Lam, Y. Chen, and T. Hong, Performance Evaluation of an Agent-based Occupancy Simulation Model, Building and Environment, 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.

Pages