The paper deals with the study of the influence of various factors, which have an impact on emissions such as NOx, CO, which have been verified by measurements. Biomass in the form of wood chips as fuel of different moisture content from 9% to 25% has been tested at various boiler outputs. The presented work also defines the mathematical dependencies of NOx and CO emission generation by using regression analysis from measured data after biomass combustion in low-power boilers. The paper also describes a mathematical model of biomass combustion. The mathematical model was created to verify the measured data and prediction of emission generation in the process of biomass combustion. This model consists of combustion of stoichiometry, calculation of combustion temperatures, obtained regression equations of NOx and CO. At the end of this paper, the obtained results are compared with the calculated models as well as the results of the defined dependencies from the regression analysis.
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The production of the agglomerate is always related with the consumption of energy, appearance of the solid pollutive substances and the emissions, which are the main source of air pollution. The presentation work contains the analyse knowledge, which were obtained from the literature, also mainly analysis the results, which were attained on the laboratory sintering pan. On this laboratory sintering pan are suffi ciently simulating the conditions, which are present in the sinter band in relation to production of CO, CO2, NOx, SOx and solid pollutive substances in the sintering process. On the basis of the theoretical analyse, analysis measuring data, computing of the balance, production, qualitative and quantitative parameters of the sintering process we can conclude, that in the case of changing different parametres of the sintering process (for example in the changing underpressure sucking air) these emissions can decrease. The expressive decreasing of the emissions can be achieved with minimalization of the fuel content in the sintering burden.
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