Using artificial intelligence (AI) and machine learning (ML) techniques, NETL researchers are exploring a way to treat water that seeps through coal combustion waste using a sorbent synthesized from fly ash, itself a coal combustion waste ─ a development with implications for improving the costs of managing future waste sites.
According to the University of Kentucky Geological Survey, the United States produces 100 to 130 million tons of combustion wastes annually at coal-fired power plants and in many cases, those materials are disposed of in impoundment ponds.
Leachate is liquid pollution that can escape from impoundments, and it often contains chemicals that are bad for the environment. Sorbents are materials used to recover substances through adsorption. Sorbents can adsorb harmful substances in leachate. New sorbents can be expensive and time-consuming to design and create.
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