Abstract

En este trabajo se presenta el modelo del proceso de combustión de un horno rotatorio de clinker, el cual se obtiene a partir de un balance de energía representado en el calor que se genera por la combustión de carbón y la forma como se distribuye aquel en todo el proceso. Se utilizan datos de las variables reales del proceso, obtenidas del sistema de control mediante OLE for Process Control, las cuales se operan con datos experimentales y variables que se asumen como constantes. El modelo obtenido se ajusta con dos herramientas: mínimos cuadrados y filtro Infinite Impulse Response de primer orden. Se valida y comprueba el modelo y sus ajustes utilizando dos herramientas estadísticas: diagrama de cajas y bigotes y un método de ocho métricas estadísticas relacionadas por una función difusa. La utilización de estas herramientas evidencia un desempeño satisfactorio del modelo planteado.

Highlights

  • To model or identify the combustion process of a kiln is not easy because this is described as a non-lineal system of parameters distributed and varying in time (Shahriari and Tarasiewicz, 2009; Ortiz, Suárez, and Nelson, 2005)

  • This paper presents the model of the combustion process of a clinker kiln, which is obtained from an energy balance represented in the heat generated by burning coal and how this is distributed across the process

  • The resulting model is fitted with two tools: least squares and Infinite Impulse Response filter of first order

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Summary

Introduction

To model or identify the combustion process of a kiln is not easy because this is described as a non-lineal system of parameters distributed and varying in time (Shahriari and Tarasiewicz, 2009; Ortiz, Suárez, and Nelson, 2005). In this study a model is presented that is based on a balance of mass and energy in which variables are involved, such as required energy for chemical and physical transformations needed to obtain the desired product (clinker). The chemical transformations involved are related to the oxidation process of the elemental components of fuel and oxides obtained in the clinker. The model is obtained from variables that are measured and monitored by means of a centralized control system in the plant, laboratory data and identified counters in the process. In 3 the model is checked with real data, and at final, the conclusions are presented

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