Fuel-quality soft sensor using the dynamic superheater model for control strategy improvement of the Biopower 5 CHP plant

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This paper presents an enhanced method for estimating fuel quality in a BioGrate combustion process and the method’s use in control strategy improvement. This method is based on a dynamic model that makes use of combustion power estimates – which can be calculated based on the furnaces oxygen consumption – and that makes use of a nonlinear dynamic model of the secondary superheater. The paper focuses to estimate the most essential combustion parameters: fuel moisture and fuel flow. The time delay for detecting a change in fuel moisture and fuel flow is small enough for the method to be used for controlling both air and fuel feed, preventing any steam and pressure oscillations. The proposed control strategy is compared with the method currently used in the BioPower 5 CHP plant. Finally, the results are analyzed and discussed.


Original languageEnglish
Pages (from-to)38-48
JournalInternational Journal of Electrical Power and Energy Systems
Issue number1
Publication statusPublished - 2012
MoE publication typeA1 Journal article-refereed

    Research areas

  • biopower, control, fuel quality, moisture, power plant, superheater

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