Dependence of the Heat Flow of Flue Gases After the Biomass Steam Generator on the Main Influencing Factor
Keywords
Abstract
The development of renewable energy is consistent with the current requirements of modern energy policy and international standards, which provide for the reduction of emissions of harmful substances and the stimulation of the use of renewable energy sources. Study of the dependence of the heat flow of flue gases after a biomass steam generator on the main influencing factors was conducted using the second-order Box-Wilson experimental design using rotatable central composite planning using the developed software, which is protected by the Certificate for the work. The aim of the study is to determine, using experimental design, the regression dependence of the heat flow of flue gases after a biomass steam generator on the main influencing factors. Regression dependence of the heat flow of flue gases after a biomass steam generator on the main influencing factors was obtained: inlet gas temperature, inlet gas velocity. Using the Fisher criterion, it was established that the hypothesis regarding the adequacy of the obtained regression model is confirmed with a confidence probability of 95 %. The obtained value of the correlation coefficient, which is 0.97386, indicates a sufficient level of reliability of the obtained results. The obtained regression dependence can be used in the development of a methodology for engineering calculations of equipment parameters for energy-efficient biomass combustion. It was established that among the impact factors considered, the heat flow of flue gases after the biomass steam generator is most influenced by the temperature of the gases at the inlet, and the least by the velocity of the gases at the inlet. The response surface of the objective function — the heat flow of flue gases after the biomass steam generator and its two-dimensional section in the plane of the impact parameters — is constructed, which enables to clearly illustrate the obtained dependence and the nature of the combined impact of several factors on the objective function.
