Investigation of parameters affecting electricity generation in wet type top pressure recovery turbine systems in blast furnace

In these times when the need for energy is increasing, the search for new energy sources has become more and more important. Accordingly, studies are carried out to reduce the need for energy, to use energy more efficiently or to produce waste energy recovery methods. One of these studies is the application of blast furnace top pressure recovery turbine applied in IISF (Integrated Iron and Steel Factories). Top pressure recovery turbine (TRT) is a turbine-generator system that is an output of the blast furnace production process, converting the energy of blast furnace gas at high pressure and temperature into electrical energy. With this study, the working principle of TRT's was explained and the process parameters of a sample TRT were examined. According to the calculation made according to the average observation values, it was seen that an energy recovery of around 26% could be achieved with the sample TRT. The relationship (correlation) of variables affecting TRT system production with TRT production was investigated. It was understood that the inlet gas flow and inlet gas pressure of TRT had a positive correlation with the medium power of TRT production. An increase of 100.000 m3/h of gas flow is 2,6 MW, and an increase of inlet gas pressure of 100 kPa is 3,6 MW for more power generation. While the production values of the TRT system are calculated empirically, a Multiple Linear Regression (MLR) model is presented as a model proposal based on the parameters used in this study. System observation values, theoretical production values based on empirical formulas and predicted values of MLR model were compared on the axis error evaluation criteria mean squared error (MSE), mean absolute percentage error (Mean Absolute Percentage Error-MAPE) and variance (R2) values. Accordingly, it was observed that the model of the MLR has a stronger predictive ability with a R2 value of 0,9205. It is calculated that carbon emission can be reduced by 53.020 tons/year by energy recovery with TRT.