A multi-omics analysis provides the framework for gaining insights into the structure and function of microbial communities across multiple habitats on a planetary scale

Report for the Oregon Public Utility Commission highlights innovations and best practices for resilience and utility planning could be helpful to other states as well.

Staff at PNNL recently completed a report highlighting commercial products enabled through projects funded by the Department of Energy’s Building Technologies Office.

The Simple Building Calculator, developed at PNNL, meets a need for a quick, interactive, and economic method to evaluate energy use—and potential savings from efficiency measures—in simple commercial buildings.

Data-driven experiments can help determine best practices for Random Forest machine learning to predict water quality, particularly nitrate levels.

PNNL joint appointee Auroop Ganguly uses data science to study the impacts of climate change.

The Department of Energy has issued updated energy conservation standards for manufactured homes. The effort to establish the standards, supported by PNNL, is expected to result in a range of benefits for the manufactured housing sector.

Across the United States, water moving between the river and riverbed sediments does not overcome localized processes that govern organic matter chemistry.

PNNL worked with the Department of Energy on the Commercial Packaged Boiler rule, which will help reduce energy use, enhance the environment, and save dollars.

Eight Office of Science Graduate Student Research join PNNL.

New research simulates power demand, supply, and cost in a hotter, drier climate.

New work developed a methodology to generate building temperature setpoint schedules for use by modelers in large-scale building energy simulations.

PNNL will provide technical resources and support to a national coalition of states and cities focused on implementing building performance standards to improve energy efficiency and reduce carbon emissions.