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DTSTART;TZID=Europe/Helsinki:20231023T160000
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CREATED:20230926T182113Z
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SUMMARY:SKY Member evening: Data-driven design in process industry
DESCRIPTION:Two short presentations and free discussion on the subject. \nThe link will be sent to SKY members by e-mail. \nMachine learning for predicting alkali salt-induced high-temperature corrosion of superheater materials (by Rasmus Fagerlund) \n\nShort introduction on high-temperature corrosion in black liquor recovery boilers and Åbo Akademi corrosion test method\nData analysis\nModeling of data using machine learning methods\nModel performance and conclusions\n\nModeling of steam usage at a power plant site (by Jere Espo) \n\nTrials to manage different operational situations with a mathematical model based on process data\nCorrect timing of required operator manual work\nGeneration of more valid process measurement alarms\n\n  \nRasmus Fagerlund \n\nDoctoral student at Åbo Akademi University\nCurrently working on modeling of NOx formation for computational fluid dynamics (CFD) models of black liquor recovery boilers (supervisor Docent Markus Engblom)\nBackground in chemical engineering\nInterested in AI applications\, mathematical modeling and optimization\n\n  \nJere Espo \nProcess Engineer \n\nTeam leader of Vantaa Energy Chemistry Team operating at three sites\nBackground in analytical chemistry\n\nRoughly 25 years of experience in power plant chemistry including topics like: \n\nFuel analysis\nFlue gas cleaning\nWater chemistry\nChemical safety\nTeam leading tasks
URL:https://www.korroosioyhdistys.fi/event/sky-member-evening-data-driven-design-in-process-industry/
LOCATION:Teams
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