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Wykorzystanie metod optycznych do klasyfikacji stanu procesu współspalania pyłu węglowego i biomasy

Sawicki D., Kotyra A., Akhmetova A., Baglan I., Suleymenov A.

Rocznik Ochrona Środowiska

2016

Tom 18, cz. 2

404--415

Fossil fuels constitute the primary energy source in the Polish power industry. According to the forecasts, by 2030, they will continue to be in the major position of approx. 60% share in Poland and approx. 11% share in the EU. The current policy of the European Union aims at the implementation of the climate and energy package. It is based on the reduction of greenhouse gas emissions and electricity consumption by 20% and increasing the share of energy production from renewable energy sources (RES) to 20%. The commitments made by Poland on renewable energy sources involve achieving a 15% share of renewable energy in total energy consumption in the country in 2020. The quickest way to fulfill the EU requirements is the coal and biomass co-firing in the existing power plants. There are problems with the preparation of material for combustion, because biomass has different physicochemical properties than coal. For this reason, the share of biomass co-firing process stability deteriorates and reduces the capacity and efficiency of the boiler. Combustion tests were carried out on the test bench at the Institute of Energy. Measurements were made at the position of the camera perpendicular to the axis of the flame for different variants of power. After the initial analysis of the images of the co-pulverized coal and biomass, the images sequences corresponding to stable and unstable combustion were determined. Image classification method was used to determine the state of the process. The article compared two methods for image classification with SSN and support vector machine with varying participation of biomass. This study presents the possibility of increasing the weight fraction of the biomass to 20%. The consequence, of course, is the deterioration of the stability of the combustion process. However, from the point of view of the boiler operator, the most important parameter is the sensitivity of the classification, which directly determines the probability of detecting an unstable state.