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

Nathan Addy
Bunmi Adesola (510) 486-6966
Aakash Adhikari (510) 309-0913
Arian Aghajanzadeh (510) 495-2145
Yaw Agyeman (510) 495-2574
Mike Apte (510) 610-4172
Paula Ashley (510) 486-6882
George Ban-Weiss
Carmen Bas
Fred Bauman (510) 642-7848
Paul Berdahl
David Blum (510) 486-4741
Carl Blumstein (510) 207-3333
Norman Bourassa (510) 495-2677
Rich Brown (510) 486-5896

Pages

Publications by Organization

2018

Hong, T., J. Langevin, and K. Sun, Building Simulation: Ten Challenges, Building Simulation, vol. 11, 2018.
Hart, R., H. Goudey, and D. C. Curcija, Experimental validation for thermal transmittances of window shading systems with perimeter gaps, Journal of Building Performance Simulation, pp. 1 - 13, 2018.
Liu, J. and P. Sheaffer, ISO 50001 for US Commercial Buildings – Current Status and Opportunities, Lawrence Berkeley National Laboratory, Berkeley, 2018.
Wang, W., J. Chen, and T. Hong, Modeling occupancy distribution in large spaces with multi-feature classification algorithm, Building and Environment, vol. 137, 2018.
Hart, R., Numerical and experimental validation for the thermal transmittance of windows with cellular shades, Energy and Buildings, vol. 166, pp. 358 - 371, 2018.
Aghajanzadeh, A., M. English, and C. English, Opportunities for Electricity Demand Management in Irrigated Agriculture, Lawrence Berkeley National Laboratory, Berkeley, 2018.
Fuchs, H., A. Aghajanzadeh, and P. L. Therkelsen, Using Industry’s Own Words to Evaluate ISO 50001 Energy Management Systems Adoption, Lawrence Berkeley National Laboratory, Berkeley, 2018.

Pages