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Statements

Subject Item
n2:RIV%2F68407700%3A21220%2F09%3A00157218%21RIV10-GA0-21220___
rdf:type
n16:Vysledek skos:Concept
dcterms:description
The problem of reducing harmful emissions produced in small-scale biomass fired boilers shortly after periodically performed grate movement is a part of project that is in general aimed at biomass combustion process investigations. Significant aim is to obtain such a boiler model quantifying dynamic impacts on the flue gas composition from those quantities which can be manipulated, or at least measured. After reducing these impacts, increase of the boiler efficiency will be the next goal in the search for an optimal control of small-scale biomass fired boilers. This paper shows ability of a neural network to extract mathematical dependencies from measured data even for very complex systems. Different types of neural network architecture are described in this paper and some results of modeling of CO, CO2 and NOx emission by the neural model of the biomass boiler are presented. The problem of reducing harmful emissions produced in small-scale biomass fired boilers shortly after periodically performed grate movement is a part of project that is in general aimed at biomass combustion process investigations. Significant aim is to obtain such a boiler model quantifying dynamic impacts on the flue gas composition from those quantities which can be manipulated, or at least measured. After reducing these impacts, increase of the boiler efficiency will be the next goal in the search for an optimal control of small-scale biomass fired boilers. This paper shows ability of a neural network to extract mathematical dependencies from measured data even for very complex systems. Different types of neural network architecture are described in this paper and some results of modeling of CO, CO2 and NOx emission by the neural model of the biomass boiler are presented.
dcterms:title
Neural Model of Biomass Fired Boiler Emission Changes Caused by Grate Motion Neural Model of Biomass Fired Boiler Emission Changes Caused by Grate Motion
skos:prefLabel
Neural Model of Biomass Fired Boiler Emission Changes Caused by Grate Motion Neural Model of Biomass Fired Boiler Emission Changes Caused by Grate Motion
skos:notation
RIV/68407700:21220/09:00157218!RIV10-GA0-21220___
n3:aktivita
n17:P
n3:aktivity
P(GA101/07/1667)
n3:dodaniDat
n4:2010
n3:domaciTvurceVysledku
n13:3639711 n13:1929879 n13:6347118 n13:9671382
n3:druhVysledku
n14:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n12:predkladatel
n3:idSjednocenehoVysledku
329221
n3:idVysledku
RIV/68407700:21220/09:00157218
n3:jazykVysledku
n15:eng
n3:klicovaSlova
combustion; boiler; neural network; emissions
n3:klicoveSlovo
n7:boiler n7:emissions n7:neural%20network n7:combustion
n3:kontrolniKodProRIV
[4C0FF038028A]
n3:mistoKonaniAkce
Stará Lesná
n3:mistoVydani
Košice
n3:nazevZdroje
Automatizácia a riadenie v teórii a praxi 2009
n3:obor
n6:JB
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
4
n3:projekt
n9:GA101%2F07%2F1667
n3:rokUplatneniVysledku
n4:2009
n3:tvurceVysledku
Plaček, Viktor Šulc, Bohumil Vrána, Stanislav Lepold, Martin
n3:typAkce
n10:WRD
n3:zahajeniAkce
2009-03-04+01:00
s:numberOfPages
8
n21:hasPublisher
Technická Univerzita v Košiciach
n18:isbn
978-80-553-0146-4
n19:organizacniJednotka
21220