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Modeling the Effect of Chemical Modules LSF, SM, AM, LP, and Residual on the Sieve 90-micron Factors on Fuel Consumption of Preheater and Kiln of Zabol Cement Industries Company using Design Expert Software | ||
| Chemical Process Design | ||
| مقاله 4، دوره 3، شماره 2، اسفند 2024، صفحه 52-60 اصل مقاله (1.2 M) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22111/cpd.2025.50143.1042 | ||
| نویسندگان | ||
| Mohammad Amin Mokhtari* ؛ Masoud keikhaei | ||
| Technical Office Group, Zabol Cement Industries Company, Hamgaman Tose'e S&B Holding, P.O.Box: 14155-1955 | ||
| چکیده | ||
| Today, the issue of optimizing fuel consumption in cement plants is considered an effective factor in determining the cost price of the product and is being pursued more seriously by energy management organizations. Optimizing and reducing fuel consumption, especially to preserve national economic resources, is one of the important goals of every country. In recent years, this issue has also received special attention in Iran and industries are looking for effective economic solutions in this field. One of the solutions to reduce energy consumption in this industry is to study the effect of LSF, SM, AM, LP and 90-micron sieve residue parameters on preheater and kiln fuel consumption, which has not been studied and investigated much to date. In this article, we modeled the effect of these chemical modules on the fuel consumption of the Zabol Cement Industries Company's firing system using Design Expert software and the response surface methodology. The method studied is for optimizing fuel consumption in the preheater and cement kiln, and kiln fuel consumption is considered as the response variable. The results of this research show that among the chemical modules used for furnace feed analysis, the LSF and AM values have the greatest impact on fuel consumption (the more these two parameters tend to increase, the more kilocalories are consumed), but the LP parameter has the opposite effect, that is, it decreases with increasing fuel consumption, and the 90-micron Residual sieve is not seen in the model due to its constant range of changes. | ||
| کلیدواژهها | ||
| Modeling؛ Optimizing؛ Preheater & Kiln؛ RSM؛ Fuel consumption؛ Chemical Modules | ||
| مراجع | ||
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