R&D Pillars
Paving The Way in AI/ML Energy Research
For over a century, NETL has been dedicated to applied energy research and innovation. With a strong background in R&D, combined with world-renowned computational scientists, data scientists, and subject matter experts, the Lab has the competencies to explore beyond the reach of experiments alone while saving time, money, and materials.
NETL is home to some of the most powerful computational infrastructures in the world, including the Joule 2.0 supercomputer, with a Rmax of 5.767 PFLOPS (theoretical) and Rmax of 3.6 PFLOPS (actual). Along with the Joule 2.0, NETL’s WATT links 104 GPUs with 19 petabytes of storage to provide unparalleled opportunities for the use of AI/ML to enable scientific discovery and R&D acceleration.
Established in 2011 and maintained by NETL, EDX supports the entire life cycle of data by offering secure, private collaborative workspaces for ongoing research projects until they mature and become cataloged, curated, and published. The EDX platform has integrated infrastructure (Watt/Joule 2.0) and off-premise computing (Cloud systems) with EDX’s advanced data curation and collaboration capabilities to catalyze the next generation of applied energy, AI/ML innovations. This integration marks the next chapter in NETL’s history as an energy data leader.
By leveraging hands-on research capabilities and computational science and engineering, NETL has produced science-based computational tools to accelerate technology maturation and confront some of the most difficult energy challenges. Some of these challenges include:
- Capturing, utilizing, and storing greenhouse gas emissions
- Improving the efficiency and reliability for a broad range of advanced energy systems
- Accelerating the development of materials for service in extreme environments
- Enhancing the efficiency and effectiveness of field-scale carbon storage and unconventional oil and gas operations
- Preventing offshore incidents by managing and minimizing risks associated with drilling and production operations, aging infrastructure, and infrastructure reuse, Metocean models, geohazard and seafloor stability research, and the intersection with engineered components for energy production, characterization, and storage.
- Addressing energy production, transportation, and storage infrastructure
A Three-Pronged Approach
- Smart Data Platform (EDX): R&D data & knowledge refinery with connectivity to computing resources
- Science-based AI/ML: To address previously unanswerable problems
- Foundational Standards and Platforms: To establish responsible and trusted use of AI/ML