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International Journal of Frontiers in Engineering Technology, 2022, 4(4); doi: 10.25236/IJFET.2022.040407.

Parameter Fluctuation Modeling and Extreme Value Prediction of Coal Gasification Based on Jump Diffusion Model


Yanan Bai

Corresponding Author:
Yanan Bai

School of Energy Science & Engineering, Henan Polytechnic University, Jiaozuo, 454003, Henan Province, China


In order to accurately predict the random fluctuation of uncontrollable process parameters in coal gasification process and optimize operation parameters, a stochastic differential equation with jump was proposed to study the random dynamic sequence of process parameters changing with time. Considering the effect of emergencies, the jump process was introduced into the geometric Brownian motion model to simulate the jump caused by emergencies, and the stochastic differential equation with jump was established to simulate and predict the parameter fluctuation sequence. The results show that the method can accurately simulate and predict the random fluctuation sequence of uncontrollable process parameters and describe the random fluctuation process of parameters, which lays a foundation for the study of its influence on the gas production performance of coal gasification.


Coal Gasification, Operating Parameters, Noise Factor, Stochastic Differential Equation with Jump, Monte Carlo Simulation

Cite This Paper

Yanan Bai. Parameter Fluctuation Modeling and Extreme Value Prediction of Coal Gasification Based on Jump Diffusion Model. International Journal of Frontiers in Engineering Technology (2022), Vol. 4, Issue 4: 53-60. https://doi.org/10.25236/IJFET.2022.040407.


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