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Research Tracker

This tool is intended for researchers and program managers to quickly find research projects around the country that are relevant to their work. The four organizations who provided content for this purpose represent the largest energy efficient buildings research portfolios in the country. These organizations each provided the content that they were comfortable sharing publically. Therefore, upon clicking on a particular project, it is possible that certain pieces of content are not present. Where possible, a point of contact is provided so that specific questions can be directed to that person. We welcome your comments! If you would like to provide any feedback on this tool (positive or constructive) please email basc@pnnl.gov.

Showing results 1 - 7 of 7

All-Digital Plug and Play Passive RFID Sensors for Energy Efficient Building Control

Clemson University, with their partners Harvard University, Phase IV Engineering Corp., and Iowa Energy Center, will develop, demonstrate and pre-commercialize low-cost, digital plug-and-play, passive radio frequency identification sensors for measuring indoor and outdoor temperature and humidity, which will improve building operations and cut energy costs.

Intelligent HVAC Controls for Low Income Households: A Low Cost Non-connected Device that Understands Consumer Preferences and Performs Adaptive Optimization

This project will develop a low cost smart thermostat unit that will have simple user interface. Though the test sites are low-income and senior housing, this technology could be adapted to other residential sectors. The smart thermostat will understand user preferences and manage indoor conditions to optimize energy use without requiring internet connectivity. HVAC energy use can be traced to three factors: losses in the ducting system, substandard equipment efficiency and occupant settings. Low income households are mostly renters which makes changes to the duct system or HVAC unit not feasible. By providing automatically optimized thermostat settings this project will determine if smart thermostats are a cost effective method to address HVAC energy use in the low-income and senior housing sectors.

Leading in Los Angeles: Demonstrating Scalable Emerging Energy Efficient Technologies for Integrated Façade, Lighting and Plug Loads

The project team is demonstrating and validating new retrofit package solutions from laboratory pre-testing through field demonstrations in existing government-owned commercial buildings. The solution sets, dubbed "INTER", are comprised of shading products from Rollease Acmeda and lighting and plug load systems and integrated controls, including HVAC systems, from Enlighted. The technologies can be combined and customized to suit a variety of building types and spaces, resulting in an estimated whole building energy reduction of 20 to 32 percent. Beginning in the Los Angeles basin, the team is leveraging existing market connections to increase and accelerate market adoption of these retrofit solution sets to maximize the potential energy and carbon savings, first in the region and ultimately, throughout California.

Pilot-Scale Evaluation of an Integrated Building Control Retrofit Package

This project will test an Integrated Building Control Package that maximizes energy efficiency for existing commercial buildings. The project will refine novel control algorithms that utilize shared device state and environmental data for lighting, fenestration and heating, ventilating and air conditioning (HVAC) systems. Sharing and considering data from multiple device types will further improve overall, sustained, system performance and operation. Control algorithms will prioritize lighting or heating/cooling savings based on climate and building design. HVAC system management will leverage passive ventilatio

Pilot-Scale Evaluation of an Integrated Building Control Retrofit Package

This project will test an Integrated Building Control Package that maximizes energy efficiency for existing commercial buildings. The project will refine novel control algorithms that utilize shared device state and environmental data for lighting, fenestration and heating, ventilating and air conditioning (HVAC) systems. Sharing and considering data from multiple device types will further improve overall, sustained, system performance and operation. Control algorithms will prioritize lighting or heating/cooling savings based on climate and building design. HVAC system management will leverage passive ventilatio