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Can I read Prediction of Performance and Pollutant Emission from Pulverized Coal Utility Boilers on EtoBox?

Prediction of Performance and Pollutant Emission from Pulverized Coal Utility Boilers by N. Spitz; R. Saveliev; E. Korytni; E. Korytni; E. Bar-Ziv; B. Chudnovsky is a nonfiction available to read on EtoBox.

What is Prediction of Performance and Pollutant Emission from Pulverized Coal Utility Boilers about?

A three-step methodology was developed to provide reliable prediction of a coal’s behavior in a utility boiler: (1) Extracting the combustion kinetic model parameters by combining experimental data from a pilot-scale test facility, Computational Fluid Dynamic (CFD) codes and an artificial neural network. While the combustion kinetic parameters used in the model code will not correspond to the combustion rate of a single particle of coal, these parameters do describe the combustion behavior of a “macroscopic” sample of tested coal.(2) Validation of the combustion kinetic model parameters by comparing diverse experimental data with simulation results calculated with the same set of model parameters. (3) The model parameters are then used for simulations of full-scale boilers using the same CFD code. For operational engineering information needed by the utility operator, the authors apply the predicted results to EXPERT SYSTEM, a boiler supervision system developed by Israel Electric Corporation (IEC). Four different bituminous and sub-bituminous coals with known behavior in IEC 550MW opposite-wall and 575MW tangential-fired boilers were used to show the adequacy of the methodology. T

Who reads Prediction of Performance and Pollutant Emission from Pulverized Coal Utility Boilers?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
N. Spitz; R. Saveliev; E. Korytni; E. Korytni; E. Bar-Ziv; B. Chudnovsky
Publisher
Nova Science Publishers, Incorporated
Published
2009
Language
EN
ISBN
9781614706052
Category
nonfiction
Subjects
Engineering, Technology, Stem

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