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Decision-Making during Control Pollutant Emissions from Pellet Burning with Tube Gas Heaters

DOI: 10.4236/ojapps.2025.155083, PP. 1196-1213

Keywords: Green Energy Engineering, Wood Pellets, Tube Gas Heaters, Evolutionary Search, Stochastic Optimization, Binary Choice Relations

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Abstract:

The article is devoted to decision making regarding controlling the operation of tubular gas heaters (TGH) on wood pellets. Experimental results of the study of the operation of TGH on pellets are used for decision making. Experiments have shown the dependence of undesirable gas emissions, carbon oxides and nitrogen oxides in combustion products, on the parameters of the heater operation. The nature of the dependence is contradictory, it is not possible to simultaneously minimise emissions of carbon oxides and nitrogen, it is necessary to look for compromise solutions. The task was set to find such operating modes of pellet heaters that provide acceptable values of gas emissions at different power levels during heater operation. To solve the problem, we used expert judgements in the form of matrices of fuzzy pairwise comparison of separate results of heater operation with each other. The fuzzy decision selection functions were constructed, which extend not only to the set of experimental results, but also to the whole set of possible variation of the TGN operation parameters. For each selection function, their maxima are found, which provide the operation of TGN at different power modes with acceptable gas emissions values. These results can serve for three-stage control of the TGN.

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