The Energy Department announced it would invest $74 million in 63 projects conducted by national laboratories, universities and industry partners with the aim of improving the country’s buildings and electric grid’s energy performance.
“Many of the projects announced today will advance technologies to unlock deep energy savings through grid interactive efficient buildings and advanced building construction technologies and practices, without sacrificing the comfort of building occupants or the performance of labor-saving devices and equipment,” the agency wrote.
The projects are intended to advance the goals of DOE’s Buildings Energy Efficiency Frontiers & Innovation Technologies.
Some of the projects selected for award negotiations include:
- General Electric Company, GE Research, Niskayuna, N.Y., will employ machine learning to advance adaptive cyber-physical resilience for building control systems.
- Lawrence Berkeley National Laboratory, Berkeley, Calif. will develop a compact, stand-alone thermal energy storage system using thermochemical salt hydrates for space heating in buildings.
- University of Virginia, Charlottesville, Va., will develop bio-based, phase-change materials that are synthetically derived from squid ring teeth protein to produce a novel thermal energy storage material.
- University of Maryland, College Park will create a solid-state energy storage composite phase change material and heat exchanger.
- Auburn University, Auburn, Ala., will develop electrostatic-based water vapor separation systems for cooling in air conditioning systems.
- University of Florida, Gainesville, Fla., will develop an efficient membrane-based ionic liquid absorption system for dehumidification and heating.
- Lumileds, San Jose, Calif., will develop efficient green and yellow LEDs for solid-state lighting applications for forward voltage and power conversion for long-wavelength LEDs.
- Rensselaer Polytechnic Institute, Troy, N.Y., will develop an adaptive lighting control system by using augmented-reality and virtual-reality tools for lighting designers to render the placement of light.
You can read about more projects here.