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As city populations boom and the need grows for sustainable energy and water, scientists and engineers with the University of Chicago and partners are looking towards artificial intelligence to build new systems to deal with wastewater. Two new projects will test out ways to make intelligent water systems to recover nutrients and clean water. Water is an indispensable resource of our society, as it is required for sustaining life and economic prosperity, said Junhong Chen, the Crown Family Professor in the Pritzker School of Molecular Engineering at the University of Chicago and lead water strategist at Argonne National Laboratory. Our future economy and national security greatly depend on the availability of clean water. However, there is a limited supply of renewable freshwater, with no substitute.
Argonne and partners to develop an artificial intelligence-assisted system for resource recovery from municipal wastewater.
The U.S. Department of Energy (DOE) recently announced it has awarded $27.5 million for 16 water infrastructure projects. The goal of all these projects is to reduce energy use and carbon emissions in our aging water infrastructure, particularly in wastewater treatment.
For one of the projects ($2 million over three years), DOE s Argonne National Laboratory, along with lead organization University of Chicago, Northwestern University and other partners, will be developing an artificial intelligence-assisted system for recovery of energy, nutrients and freshwater from municipal wastewater. Water is an indispensable resource of our society as it is required for sustaining life and economic prosperity. Junhong Chen, Argonne s lead water strategist.