Automated system for optimizing input parameters of the UCG process

Abstract

The paper continues to post on the contributions published at previous ICCC conferences in 2016 and 2017. The optimization of input oxidizers was solved in three variants of objective function - maximizing calorific value, minimizing unburned carbon and complex optimization criterion, for different thermodynamic temperatures. This paper describes the design and verification of an automated system for optimizing input parameters. This system makes it possible to optimize the choice of different types of optimality criteria, to set a different initial estimate of input oxidants. The core of the system is a modified gradient method. The automated system was created and programming in the DELPHI software.