Progress on mathematical models construction in coal gasification process

Coal gasification technology is an important direction of clearly utilizing coal resources for green industrial ecology development. The mathematical model in coal gasification process has technological advantages in effectively describing the complex reaction mechanisms of the gas and the solid, analyzing gasification process parameters, predicting the characteristics of the gasification products and others, and it lays an important theoretical foundation of the engineering optimization design in coal gasification process. The research progresses on the constructing of thermodynamics equilibrium model, reaction kinetics model, computational fluid dynamics model，reduced order model and intelligent model in coal gasification process are reviewed in recent years. For researches on coal gasification model, the latest researches on intelligent model construction based on data-driven, model simplification and the model parameters optimization are mainly discussed. The researches on intelligent models construction integrating coal gasification reaction mechanisms are deeply analyzed. For researches on coal gasification production process model, the intelligent model construction under objective programming is mainly discussed, and the optimization algorithms which are used to solve the objective models are analyzed, including DE, PSO, GA, and others. And the application of Aspen Plus in coal gasification simulation and the objective optimization algorithm improvement based on the simulation models are discussed in detailed. Besides, it is proposed that the intelligent model with mechanism information about coal gasification reaction kinetics and multi-scale simulation model incorporating details such as local hydrodynamics into the overall gasification process will be the main development directions of research on gasification models in future, where how to select the initial samples reasonably, how to improve the performance of the optimization algorithm effectively, how to select the criteria of optimization model are research hotspots on intelligent models.