Optimization Model for Coal Blending in Coking Production 焦化生产配煤优化数学模型
Coking is an important part of the iron and steel production industry. Different types of coking coal is blended together depending on their properties, such as ash, volatiles and sulphur to optimize the coking quality. This process requires detailed knowledge and thorough calculations, making coal blending an important factor in coking production. To streamline and improve the process, this paper presents an optimization model for optimizing coal blending in coking production.
The objective of the optimization model is to minimize the cost of coking while meeting the required quality requirements. To achieve this, the two main parameters of the model are: maximum ash and total volatility. The model also takes into account the cost of the different types of available coal, such as hard coking coal, semi-hard coking coal and super-hard coking coal, as well as its availability. The model is formulated as an Integer Linear Programming (ILP) problem and can be solved using solvers such as Gurobi and Cplex. Additionally, the model also takes into account the constraints of blending ratios that must be achieved to ensure product consistency.
To illustrate the capability of the proposed model, a case study for a typical steel mill producing metallurgical coke is presented. The case study includes 14 types of coal, with various properties and cost. Results of applying the model show that it is possible to obtain a cost reduction of almost 35% compared with the non-optimized blending scenario. Furthermore, the results also demonstrate that the model can provide a better coking quality when compared with the non-optimized scenario.
Overall, the optimization model presented in this paper provides a method to improve the coal blending process in coking production. The model is easy to use and allows for a better optimization of the coal blend, resulting in a lower cost of production and an improved product quality. The model is also robust and capable of solving complex problems with multiple types of coal with different properties and costs. Further research is needed to generalize and extend the model to other scenarios such as other types of coking and different ratios of coke output in production.
In conclusion, the optimization model for coal blending in coking production presented in this paper offers a cost-effective solution for optimizing the coal blend for production. The model takes into account a variety of factors, including cost, availability and quality requirements to generate the optimal blending ratios for a given situation. This better optimization of the blending process , results in lower costs and better product quality which is of great benefit to coking production.
