Thermodynamic analysis of solid waste and energy consumption to reduce the effects of an electric arc furnace on the environment

2019 ◽  
Vol 19 (3) ◽  
pp. 308 ◽  
Author(s):  
Yildiz Koc ◽  
Huseyin Yagli ◽  
Enver Onur Ozdes ◽  
Ertugrul Baltacioglu ◽  
Ali Koc
2017 ◽  
Vol 58 (6) ◽  
pp. 586-590 ◽  
Author(s):  
S. A. Yakornov ◽  
A. M. Pan’shin ◽  
P. I. Grudinsky ◽  
V. G. Dyubanov ◽  
L. I. Leont’ev ◽  
...  

Processes ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1044
Author(s):  
Leo S. Carlsson ◽  
Peter B. Samuelsson ◽  
Pär G. Jönsson

The melting time of scrap is a factor that affects the Electrical Energy (EE) consumption of the Electric Arc Furnace (EAF) process. The EE consumption itself stands for most of the total energy consumption during the process. Three distinct representations of scrap, based partly on the apparent density and shape of scrap, were created to investigate the effect of scrap on the accuracy of a statistical model predicting the EE consumption of an EAF. Shapley Additive Explanations (SHAP) was used as a tool to investigate the effects by each scrap category on each prediction of a selected model. The scrap representation based on the shape of scrap consistently resulted in the best performing models while all models using any of the scrap representations performed better than the ones without any scrap representation. These results were consistent for all four distinct and separately used cleaning strategies on the data set governing the models. In addition, some of the main scrap categories contributed to the model prediction of EE in accordance with the expectations and experience of the plant engineers. The results provide significant evidence that a well-chosen scrap categorization is important to improve a statistical model predicting the EE and that experience on the specific EAF under study is essential to evaluate the practical usefulness of the model.


Author(s):  
Ebrahim Hajidavalloo ◽  
Hamzeh Dashti

In this paper, energy and exergy analysis of an existing steel electric arc furnace (EAF) was performed to estimate the furnace potential for increasing the efficiency and decreasing the electrical energy consumption. The results of analysis show that the energy and exergy efficiencies of the furnace are 56.9% and 40.5%, respectively. Field data show that mass flow rate of hot flue gas is around 10.4 kg/s in average which contains 18.3% and 12.2% of total input energy and exergy, respectively. By using energy of flue gas for preheating the sponge iron, electrical energy consumption of the furnace could be reduced up to 88 GJ which means 21.2% reduction in electrical energy consumption and 13.6% increase in steel production. Also, exergy efficiency improves about 10.8% by using preheating scheme.


2016 ◽  
Vol 5 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Soraya Hosseini ◽  
Salman Masoudi Soltani ◽  
Paul S. Fennell ◽  
Thomas S.Y. Choong ◽  
Mohamed Kheireddine Aroua

Energy ◽  
2016 ◽  
Vol 108 ◽  
pp. 132-139 ◽  
Author(s):  
Dragoljub Gajic ◽  
Ivana Savic-Gajic ◽  
Ivan Savic ◽  
Olga Georgieva ◽  
Stefano Di Gennaro

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