In-situ coal quality variability analysis by combining Gaussian co-simulation and a JavaScript

ABSTRACT

This study covers an in-situ analysis of simulated coal quality attribute variations of a power plant in Tufanbeyli/Adana, Turkey. Three main coal quality variables including calorific value, sulfur and ash content were simulated by Sequential Gaussian co-simulation method. The results were validated by a number of tests. A this-study-specific JavaScript is written to reveal the variations of coal qualities in a specific extraction route and capacity for both short and long-term production planning and scheduling. Results declared that the JavaScript successfully reflected the simulated variations in the candidate route and very adaptable to similar studies easily.

KEYWORDS:

• Coal quality variation
• co-simulation
• JavaScript
• mapping
• scheduling