Optimization of Top Gas Recycle Blast Furnace Emissions with Implications of Downstream Energy

Abstract

A number of studies have recently been reported on the potential of the top gas recycle blast furnace to reduce carbon emission. Different modeling approaches have been suggested for predictive modeling of the furnace behavior. The present paper is an extension of the stoichiometric modeling approach adopted by the authors wherein process optimization has been attempted in the context of integration of the top gas recycle blast furnace within an integrated steel plant. The considerations of downstream energy available from this process become important for retrofitting the furnace in an existing steel plant. The optimization approach includes use of non-linear Artificial Neural Network as well as linear regression applied to the outputs of the furnace model for a set of input variables. Both the approaches successfully predicted the outputs of the furnace model. Optimization of the output from non-linear and linear regression for different values of downstream energy is performed, leading to optimal values of CO 2 emission, carbon rates, and productivity for different downstream energy values. The results may be utilized for choice of appropriate input parameters to attain a specified downstream energy value.

Bi-objective Optimization of Maraging Steel Produced by Vacuum Induction Melting Using Evolutionary Algorithms

“…EvoNN is framed on basic structure of neural network. In the past, several optimization studies were performed using evolutionary algorithm [9][10][11][12]. The training of data generates meta-models which comprises of one neural network.…”

Influence of Parameters on the Pre-Reduction Process of Vanadium-Titanium Magnetite Carbon-Containing Composite Pellets in Rotary Kiln

“…Numerous institutions have focused on how to reduce energy consumption and the environmental pollution of blast furnaces. Many studies from around the world have identified that some commercially available energy-efficiency technologies such as pulverized coal injection (PCI) [3], iron coke hot briquette (ICHB) [4], and top gas recycle (TGR) [5] for BF has reduced the CO 2 emission, but the serious resource shortage and crisis environmental problems still cannot be solved [6,7]. The main reason is that the blast furnace method must use high-grade ore and metallurgical coke, while the sintering and coking process will cause a lot of pollution.…”