Innovative and reliable energy conversion systems are at the heart of America’s evolving energy infrastructure. They allow for the production of power, fuels and chemicals from both fossil fuels and renewable sources to provide the electricity that powers nearly every aspect of our daily lives. NETL’s role in advancing these systems ranges from designing novel experimental modeling tools to testing more efficient solutions to generating power and materials in ways that reduce environmental impact. In 2020, these advancements helped reduce time, cost and technical risk while enabling efficient operation to drive the energy systems of the future.

The U.S. Department of Energy’s (DOE) Office of Fossil Energy (FE) and the National Energy Technology Laboratory (NETL) have announced $3.3 million in Federal funding for cost-shared research and development projects under the Funding Opportunity Announcement (FOA) DE-FOA-0002399, Water Management for Thermal Power Generation. The FOA seeks to support the design, construction, and operation of engineering-scale prototypes of water treatment technologies for the nation’s existing and future fleet of thermoelectric power plants. It is envisioned that fossil asset owners or operators and technology developers will collaborate and advance near-term water treatment solutions that can be commercially deployed.

Artificial intelligence (AI) refers to algorithms that can — for a given set of human-defined objectives — learn, predict and make decisions, significantly increasing the speed and efficacy of decision-making. Most AI applications use machine learning (ML) to find patterns in massive amounts of data. The patterns are then used for making predictions. AI and ML have factored prominently in the Lab’s computational science and engineering (CSE) work in 2020 through the development of science-based simulation models, mathematical methods and algorithms and software tools required to address the technical barriers to the development of next-generation technologies. This research helps to generate information and understanding beyond the reach of experiments alone, saving time, money and materials.

NETL is home to some of the most talented scientists in the world, which was recently highlighted in an analysis published by the journal PLOS Biology naming several NETL researchers as among the top 2% of scientists in the world based on their career-long citation impact up until the end of 2019. Reviewing the databases of standardized citation metrics across a variety of scientific fields, a PLOS Biology article provided updated analyses assessing scientists for career-long citation impact up until the end of 2019. The data includes all scientists who, according to a composite index, are among the top 2% of scientists within their main subfield discipline (considering those that have published at least five papers) leading to a total of 6,880,389 scientists being assessed. NETL researchers identified in the PLOS Biology article are the current employees David E. Alman, Sofiane Benyahia, Ray Boswell, Yuhua Duan, Michael Gao, Randall S. Gemmen, Angela L. Goodman, Evan Granite, Mehrdad Massoudi, Ranjani V. Siriwardane, Dan Sorescu and Phuoc X. Tran, along with former employees David Maurice, Paul Ohodnicki, James Rawers, D.H. Smith and C.M. White.

NETL will take part in the Student Leadership Innovation Summit, a virtual event to be hosted by the Open Window School in Bellevue, Washington, on Wednesday, Dec. 2, to encourage young minds to explore careers that involve science, technology, engineering and mathematics (STEM). Held for children in grades five through seven, the event will be an opportunity for NETL to share information and insight about careers, top challenges, visions for the future, innovations the Lab would like to advance, and the potential impact these innovations may have. Following the summit, students will participate in the ExploraVision competition, in which they will select a science-related issue they are passionate about and work in small teams to tackle that issue through the use of innovative technology. The competition endorses STEM literacy by improving skills in the areas of critical thinking, deductive and inductive reasoning, and problem solving.

An NETL collaboration with Cerebras Systems has demonstrated that their acclaimed CS-1 system could perform a key computational fluid dynamics (CFD) workload more than 200 times faster and at a fraction of the power consumption than the same workload on an optimized number of cores of the Lab’s supercomputer JOULE 2.0. Further development of this unique computational architecture could lead to a paradigm shift in NETL’s high-performance computing (HPC) efforts and help overcome challenges facing researchers as they design and model next-generation energy systems. The research was led by Dirk Van Essendelft, Ph.D., machine learning and data science engineer at NETL, and Michael James, Cerebras chief architect of advanced technologies and a cofounder of the company.

According to the latest rankings by TOP500, NETL’s Joule 2.0 supercomputer remains among the most powerful in the world, securing a position of 11th among DOE national labs, 26th in the United States and 82nd in the world. Supercomputing is essential in achieving NETL’s mission to discover, integrate and mature technology solutions that enhance the nation’s energy foundation and protect the environment for future generations. By expediting technology development through computational science and engineering, Joule 2.0 helps NETL cut costs, save time and spur valuable economic investments with a global impact. Named for the familiar unit of energy, Joule allows researchers to model energy technologies, simulate challenging phenomena and solve complex calculations using computational tools that save time and money to ensure that technology development ultimately proves successful. A $16.5 million upgrade in 2019 boosted Joule’s computational power to 5.767 PFLOPS, meaning that it can perform more than 5 quadrillion calculations per second. That’s equivalent to roughly 54,658 desktop computers combined.

The U.S. Department of Energy’s (DOE) Office of Fossil Energy (FE) issued a Notice of Intent for a Funding Opportunity Announcement (FOA) expected to support projects facilitating the design, construction, and operation of engineering-scale prototypes of water treatment technologies for the Nation’s existing and future fleet of thermoelectric power plants. Water is a fixed resource with competing demands. There is an inextricable link between water and energy, as thermoelectric power generation accounts for 40 percent of freshwater withdrawals and 3 percent of freshwater consumption in the United States. Identifying and treating alternative sources of water, such as effluent streams, supports DOE’s Water Security Grand Challenge Goal 3: “Achieve near-zero water impact for new thermoelectric power plants, and significantly lower freshwater use intensity within the existing fleet.”

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. Through a potential prize competition, DOE would seek demonstrations of higher technology readiness level (TRL) technologies that treat produced water for use within other industries or demand centers outside oil and natural gas operations.

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. The electricity and power generation sector in the U.S. is experiencing a state of rapid transformation via adoption of natural gas-fired power plants and deeper penetration of renewables into the market as older power-generation systems such as nuclear and legacy coal plants are gradually phased out.