New Energy Efficiency Codes Set Path Toward Green Buildings
PNNL provided expert analysis and technical background for some of the most ambitious building energy efficiency codes proposed for this year's International Energy Conservation Code updates.
Physics-Informed Machine Learning for Energy and Environment
Physics-informed machine learning (PIML) is a modeling approach that harnesses the power of machine learning and big data to improve the understanding of coupled, dynamic systems.
Advanced Building Controls Laboratory
This laboratory provides a testing resource for HVAC units and systems.
Lighting Expert Michael Royer Named Fellow of Illuminating Engineering Society
Royer’s research has focused on ensuring that energy efficient lighting technologies, like LEDs, offer quality light so they reach their potential for energy savings.
DOE Delivers Building Energy Efficiency Analysis in Record Time
New building energy codes could reduce utility bills by $138 billion and prevent 900 million metric tons of CO2 emissions coming from buildings. Now, they will be easier to adopt.
Becker-Dippmann Recognized with CleanTech Alliance Award
PNNL’s Angela Becker-Dippmann received a CleanTech Alliance 2021 Leadership Achievement Award at the virtual Energy Leadership Summit on November 9.
Tom McDermott Named Power Distribution Award Winner
Electrical engineer Tom McDermott has been named the winner of a power distribution engineering award.
Faster Air Exchange in Buildings Not Always Beneficial for Coronavirus Levels
Vigorous and rapid air exchanges might not always be a good thing when it comes to levels of coronavirus particles in a multiroom building, according to a new modeling study.
Faster Air Exchange in Buildings Not Always Beneficial for Coronavirus Levels
Modeling study suggests vigorous ventilation can cause spike in viral concentrations
Qiao Lending Expertise in Science of Light
PNNL senior electrical engineer, Amy Qiao, tapped to serve IEEE Photonics Society Emerging Technologies Task Force.