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Description
  • Renewable energy sources are playing an increasingly important role in reducing the emission of greenhouse gases, with biomass providing the largest carbon dioxide reduction potential when it replaces coal as the dominant fuel in large scale heat and electricity production. However, the volatility of biomass properties may become a limiting factor to the proportion of biomass used. The paper presents a model based control strategy for multiple fuel co-firing, which enables direct compensation of the variability of fuel properties and stabilizes the heat power using an inferential sensing approach. Kalman filter with significantly increased robustness with respect to model uncertainty is required to make the inferential sensing practically applicable.
  • Renewable energy sources are playing an increasingly important role in reducing the emission of greenhouse gases, with biomass providing the largest carbon dioxide reduction potential when it replaces coal as the dominant fuel in large scale heat and electricity production. However, the volatility of biomass properties may become a limiting factor to the proportion of biomass used. The paper presents a model based control strategy for multiple fuel co-firing, which enables direct compensation of the variability of fuel properties and stabilizes the heat power using an inferential sensing approach. Kalman filter with significantly increased robustness with respect to model uncertainty is required to make the inferential sensing practically applicable. (en)
Title
  • Biofuel co-firing with inferential sensor
  • Biofuel co-firing with inferential sensor (en)
skos:prefLabel
  • Biofuel co-firing with inferential sensor
  • Biofuel co-firing with inferential sensor (en)
skos:notation
  • RIV/18627757:_____/12:#0000027!RIV13-TA0-18627757
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(TA01020871)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 125040
http://linked.open...ai/riv/idVysledku
  • RIV/18627757:_____/12:#0000027
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • multi fuel co-firing; control strategy; inferential sensor; Kalman filtering; uncertain systems (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [C970DE60D8A0]
http://linked.open...v/mistoKonaniAkce
  • Toulouse, France
http://linked.open...i/riv/mistoVydani
  • ENSEEIHT, Toulouse, France
http://linked.open...i/riv/nazevZdroje
  • Power Plants and Power Systems Control, Volume# 8 | Part# 1
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Havlena, Vladimír
  • Trnka, Pavel
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.3182/20120902-4-FR-2032.00125
http://purl.org/ne...btex#hasPublisher
  • IFAC (International Federation of Automatic Control)
https://schema.org/isbn
  • 978-3-902823-24-3
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