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ExxonMobil Becomes Member in National Alliance for Water Innovation2 min read

by Christina Procopiou on February 9, 2021

Uncategorized

The National Alliance for Water Innovation (NAWI) announced today that ExxonMobil has officially joined the Alliance as a member. In 2019 NAWI was selected to lead a U.S. Department of Energy (DOE) Energy-Water Desalination Hub to support United States water security. As a founding member of the NAWI Research Consortium, ExxonMobil is part of a world-class team of industry and academic partners formed to examine the critical technical barriers and research needed to radically lower the cost and energy of desalination.

“We’re pleased to support the efforts of the National Alliance for Water Innovation,” said Monte Dobson, ExxonMobil Unconventional Technology Development Manager. “We will leverage our capabilities to jointly develop a roadmap of different technologies to find beneficial ways to use treated produced water.”

The NAWI Research Consortium is headquartered at Berkeley Lab and includes Oak Ridge National Laboratory, the National Renewable Energy Laboratory, the National Energy Technology Laboratory, 19 founding university partners, and 10 founding industry partners including Exxon Mobil. NAWI’s goal is to advance a portfolio of novel technologies that will secure a circular water economy in which 90% of nontraditional water sources – such as seawater, brackish water, and produced waters – can be cost-competitive with existing water sources within 10 years.

“ExxonMobil’s objectives align well with the research space of NAWI. We are excited to have them as part of our team as we embark on our research efforts,” said Dr. Peter Fiske, NAWI Executive Director.

In the NAWI Alliance, the four national laboratories and founding industry and academic partners are joined by a member community of hundreds of public and private sector organizations – all focused on the future of water treatment and stability of water supplies for U.S. industries and communities.

Each member hopes to influence technology development by participating in steering and technical working groups to help develop research roadmaps and review research projects.

News & Events

Chun Chang Places Second in Annual Berkeley Lab Pitch Competition3 min read

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Commercializing Berkeley Lab inventions is an important part of the Lab’s mission, and one that requires strong communication skills. For example, Lab inventors need to be able to pitch their ideas to external partners and potential funders.  The annual Berkeley Lab Pitch Competition occurred on October 27, 2022 and is a part of an entrepreneurship…

EESA Scientists Collaborate With Universities to bring Environmental Science Research Opportunities and Training to Students Underrepresented in STEM3 min read

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  EESA researchers are collaborators in three of the 41 projects awarded in December by DOE through its Reaching a New Energy Sciences Workforce (RENEW) initiative.  RENEW aims to build foundations for research at institutions that have been historically underrepresented in the Office of Science (SC) research portfolio. The initiative provides opportunities for undergraduate and…

New Report Explores Revolutionary Environmental Artificial Intelligence Infrastructure5 min read

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In a collaborative effort between the U.S. Department of Energy’s (DOE) Office of Biological and Environmental Research (BER) and DOE’s Advanced Scientific Computing Research (ASCR) program, as well as with community experts, the Artificial Intelligence for Earth System Predictability (AI4ESP) workshop was held from October through December 2021. BER developed the process as the Model-Experiment paradigm, or ModEx, and a report released this fall outlines the key takeaways of last year’s event.

A Q&A With Postdoc Kunxiaoja Yuan3 min read

January 4, 2023

  Kunxiaojia Yuan received her Bachelor’s of Engineering in remote sensing and Ph.D. in geographic information engineering from Wuhan University. She is a postdoctoral researcher in EESA, with a research focus on global carbon, energy, and water cycle analysis and model evaluation using machine learning and causal inference. What motivated you to pursue a postdoc…

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