The U.S. Department of Energy’s (DOE) Office of Fossil Energy (FE) and NETL invites public comment about the technical issues needed 1) to make treated and untreated produced water available for non-oilfield and oilfield use and 2) to reduce the volume of oilfield flowback and produced water disposed of in salt water disposal wells within the Permian Basin, by promoting its beneficial use in the oilfield or its use within other industries. The goal is to transform the produced water from a waste to a resource.
NETL will showcase its research capabilities in materials engineering and manufacturing at this year’s Materials Science and Technology Technical Meeting and Exhibition (MS&T20), to be held Nov. 2-6.
A new, open-source computer model to quantify baseline life cycle impacts of electricity consumption in the United States is allowing for more robust and consistent analyses to inform decision makers and stakeholders.
Developed through a collaboration among NETL, the U.S. Environmental Protection Agency, and the National Renewable Energy Laboratory, the model is transparent and multifunctional for users.
Today, the U.S. Department of Energy’s (DOE) Office of Fossil Energy (FE) and NETL announced selection of four projects for cost-shared research and development under the funding opportunity announcement (FOA), DE-FOA-0002180, Design Development and System Integration Design Studies for Coal FIRST Concepts. When fully negotiated and awarded, it is estimated that approximately $80 million in federal funding will be provided to these projects.
The final week of the 2020 Virtual Integrated Project Review Meeting, hosted by the U.S. Department of Energy (DOE) and NETL, will explore the accomplishments and upcoming work to be undertaken by two NETL-led programs — the National Risk Assessment Partnership (NRAP) and the Science-informed Machine Learning for Accelerating Real-Time Decisions in Subsurface Applications (SMART) Initiative.
A team of national laboratories, led by Lawrence Berkeley National Laboratory and Lawrence Livermore National Laboratory (LLNL) with support from the National Energy Technology Laboratory (NETL) and Stanford Linear Accelerator Laboratory, is collaborating in a multi-scale modeling project that resulted in an approach that significantly improves the prediction of hydraulic fracture propagation.
NETL researchers such as Dominic Alfonso are using advanced computational tools to repurpose carbon dioxide (CO2) from a waste product into chemical building blocks to manufacture fuels and a range of high-value items.
The work undertaken by Alfonso and other members of NETL’s Computational Materials and Engineering Team focuses on recycling CO2 generated by fossil energy plants and other industrial sources into chemicals, alcohols, acids and syngas, which are used to manufacture fuels, polymers and fertilizer.
NETL and multination technology conglomerate Raytheon Technologies Research Center (RTRC) will discuss opportunities for technical collaboration during an upcoming virtual meeting highlighting the Lab’s research in several areas.
Scheduled for Oct. 26-28, the virtual meeting will feature sessions on various topics such as programs within the Department of Energy (DOE) Office of Fossil Energy, Hydrogen and Sustainability, Advanced Power Generation and Advanced Energy Management.
With topics ranging from artificial intelligence and machine learning to commercialization pathways for new innovations and projections of the future for the natural gas industry, the U.S. Department of Energy (DOE) InnovationXLab CarbonX Summit hosted by NETL showcased DOE technologies and the national laboratories’ capabilities at the heart of the domestic energy economy.
Emerging technologies to extract resources from offshore reservoirs and other challenging environments, advances in the development of corrosion-resistant well components and new techniques for pipeline monitoring will be among the topics presented Oct. 26-28 at the 2020 Virtual Integrated Project Review Meeting hosted by the U.S. Department of Energy (DOE) and NETL.
