Neural Model of Biomass Fired Boiler Emission Changes Caused by Grate Motion

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F09%3A00157218" target="_blank" >RIV/68407700:21220/09:00157218 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Neural Model of Biomass Fired Boiler Emission Changes Caused by Grate Motion
Original language 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 toobtain 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.
Czech name
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Czech description
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Project
<a href="/en/project/GA101%2F07%2F1667" target="_blank" >GA101/07/1667: Operation Secured Advanced Control of Thermal Heat and Power Plants</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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