NOx emission modeling at cement plants with co-processing alternative fuels using ANN

Öztürk B., Öztürk O., Karademir A.

ENVIRONMENTAL ENGINEERING RESEARCH, cilt.27, sa.5, ss.1-7, 2022 (SCI-Expanded)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 27 Sayı: 5
  • Basım Tarihi: 2022
  • Doi Numarası: 10.4491/eer.2021.277
  • Dergi Adı: ENVIRONMENTAL ENGINEERING RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, Environment Index
  • Sayfa Sayıları: ss.1-7
  • Kocaeli Üniversitesi Adresli: Evet

Özet

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.