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DOI: https://doi.org/10.4491/eer.2021.277
NOx emission modeling at cement plants with co-processing alternative fuels using ANN
Betül ÖZTÜRK1, Onur ÖZTÜRK2, and Aykan KARADEMİR1
1School Department of Environmental Engineering, Kocaeli University, 41380 Kocaeli, Turkey
2Department of Civil Engineering, Kocaeli University, 41380 Kocaeli, Turkey
Corresponding Author: Aykan KARADEMİR ,Tel: +0090 262 303 31 92, Fax: +0090 262 303 30 02, Email: aykan@kocaeli.edu.tr
Received: June 10, 2021;  Accepted: September 23, 2021.
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The use of wastes as alternative fuel (AF) at the cement plants for clinkerization processes has increased in recent years as sustainable waste management. Such co-processing of AFs at cement plants causes some changes in the composition of the plant emissions, depending on waste type, kiln thermal power, thermal substitution rate, etc. Emissions of nitrogen oxides (NOx) are among the major environmental concerns in these plants. The paper includes a modeling study of NOx emissions at a cement plant during the co-processing of AFs. Due to the non-linear characteristic of the relationship between operational parameters and NOx emissions, the artificial neural network (ANN) approach was applied and studied. The study showed that NOx emissions can be predicted satisfactorily by using ANN at cement plants. Therefore, the model proposed may be used by cement plant operators to estimate their emission levels before starting the use of a new fuel source.
Keywords: Alternative fuel | Artificial neural networks | Cement plant | NOx emission
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