Validation of numerical models for prediction of pressure drop in high capacity long distance lignite fly ash pneumatic conveying

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