Eleanor S. Lee, Rehired Retiree Staff Scientist at the Lawrence Berkeley National Laboratory (LBNL), has conducted research at LBNL since 1991 to develop, evaluate, and deploy innovative, energy efficient façade and lighting technologies and control systems in the commercial buildings market in collaboration with industry. Areas of R&D include switchable coatings, metamaterials, microstructured films, solar-optical characterization, model development and validation in support of EnergyPlus and Radiance, control systems integration with distributed energy resources, and monitored demonstrations of emerging technologies. Lee built and manages the first LBNL full-scale, outdoor testbed: the Advanced Windows Testbed, a precursor to LBNL’s new FLEXLAB® testbed facility. Monitored demonstrations include the 1.2Mft2 New York Times Headquarters, the 65,000 ft2 “Living Laboratory” in the Goldman Sachs Headquarters in Manhattan, the first FLEXLAB test in partnership with Genentech, and the first monitored demonstrations of electrochromic windows in the U.S. Lee has authored over 120 publications (h-index=33, Google Scholar) including two books and two book chapters and has received several awards for architectural research. Research in building science was initiated in 1983 with boundary layer wind tunnel and field studies to evaluate natural ventilation and thermal comfort in and around buildings. Lee was a licensed architect and holds a B.A. and Masters degree in Architecture at the University of California at Berkeley.
Eleanor S. Lee
Architect Staff Scientist/Engineer
Visual Comfort Analysis of Innovative Interior and Exterior Shading Systems for Commercial Buildings using High Resolution Luminance Images
Light-scattering properties of a woven shade-screen material used for daylighting and solar heat-gain control
Commissioning and verification procedures for the automated roller shade system at The New York Times Headquarters
Daylighting the New York Times Headquarters Building: Final Report: Commissioning Daylighting Systems and Estimation of Demand Response