TY - JOUR
TI - Validation of numerical models for prediction of pressure drop in high capacity long distance lignite fly ash pneumatic conveying
AU - Karličić Nikola V
AU - Petrović Milan M
AU - Radić Dejan B
JN - Thermal Science
PY - 2023
VL - 27
IS - 1
SP - 33
EP - 45
PT - Article
AB - This paper will validate two basic concepts of numerical models for  prediction of pressure change along the transport pipeline in the case of  long distance and high capacity lignite ash pneumatic conveying. Application  of various friction factor correlations and variation of given parameter,  led to the total of fourteen different numerical models and program codes in  FORTRAN. The input data for numerical models are based on comprehensive  experimental research of high capacity and long distance Kolubara lignite  fly ash pneumatic conveying system within 620 MWe thermal power plant unit  under operating conditions. Numerical simulation results are validated  against experimental data and subjected to statistical analysis methods.  The functional dependence obtained by the least squares method was evaluated  using mean squared deviation and correlation ratio. The predicted pressure  changes show the best agreement, with the measured decrease of pressure  amplitudes along the transport pipelines, for the model based on the  momentum balance of air-ash mixture flow and friction factor cor-relation  given by Dogin and Lebedev for the parameter A = 1.4∙10-6. This model  achieved the best correlation ratio of 93.99% for Pipeline 1 and 91.33% for  Pipeline 2, as well as the best mean squared deviation of 9.58% for Pipeline  1 and 13.66% for Pipeline 2. Also, the fanning friction factor values are  fully consistent with previously examined cases available in the  literature. Numerical simulation model can be used for prediction of the  ash pneumatic conveying capacity and pressure drop for the specified  transport pipeline.