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SAPPI Ngodwana recovery boiler soot blowing optimisation

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posted on 2023-04-21, 13:01 authored by Ivan AckermannIvan Ackermann

SAPPI recovery boiler sensor measurement data. The data's methodology consists of the design of a thermodynamic model which is aimed at calculating fouling levels in an online capacity in order to discover the soot blowing physics. Further the data shows that the methodology is applied to the secondary superheater in the Kraft recovery boiler. 

Funding

SAPPI

History

Department/Unit

Center for Asset Integrity Management

Sustainable Development Goals

  • 9 Industry, Innovation and Infrastructure

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    Engineering, Built Environment and Information Technology

    Categories

    Keywords

    Measurement dataRecovery boilerSensorsSINDy-PISAPPI

    Licence

    CC BY 4.0

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