Amines are compounds used in the chemical processes of carbon-capture plants and they release potentially harmful emissions.
and natural gas processing and refining plants. Amines are also used in certain pharmaceuticals, epoxy resins, and dyes.The problem is that amines could also be potentially harmful to the environment as well as a health hazard, making it essential to mitigate their impact. This requires accurate monitoring and predicting of a plant’s amine emissions, which has proven to be no easy feat since carbon-capture plants are complex and differ from one another.
“In short, we had an expensive and successful campaign that showed that amine emissions can be a problem, but no tools to further analyze the data,” study co-author Berend Smit said. “When Susana Garcia mentioned this to me, it sounded indeed like an impossible problem to solve. But she also mentioned that they measured everything every five minutes, collecting many data.
In the next step, Jablonka used powerful machine learning to predict future amine emissions from the plant’s data.
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