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Title: A Slag Management Toolset for Determining Optimal Coal Gasification Temperatures

Abstract

Abstract Gasifier operation is an intricate process because of the complex relationship between slag chemistry and temperature, limitations of feedstock materials, and operational preference. High gasification temperatures increase refractory degradation, while low gasification temperatures can lead to slag buildup on the gasifier sidewall or exit, either of which are problematic during operation. Maximizing refractory service life and gasifier performance require finding an optimized operating temperature range which is a function of the coal slag chemistry and viscosity. Gasifier operators typically use a slag’s viscosity-temperature relationship and/or ash-fusion fluid temperature to determine the gasification temperature range. NETL has built a slag management toolset to determine the optimal temperature range for gasification of a carbon feedstock. This toolset is based on a viscosity database containing experimental data, and a number of models used to predict slag viscosity as a function of composition and temperature. Gasifier users typically have no scientific basis for selecting an operational temperature range for gasification, instead using experience to select operational conditions. The use of the toolset presented in this paper provides a basis for estimating or modifying carbon feedstock slags generated from ash impurities in carbon feedstock.

Authors:
 [1];  [1]
  1. National Energy Technology Lab. (NETL), Morgantown, WV (United States)
Publication Date:
Research Org.:
National Energy Technology Lab. (NETL), Morgantown, WV (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1433617
Report Number(s):
NETL-PUB-20406
Journal ID: ISSN 2191-4184
Resource Type:
Accepted Manuscript
Journal Name:
Journal for Manufacturing Science and Production
Additional Journal Information:
Journal Volume: 16; Journal Issue: 4; Journal ID: ISSN 2191-4184
Publisher:
de Gruyter
Country of Publication:
United States
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY

Citation Formats

Kwong, Kyei-Sing, and Bennett, James P. A Slag Management Toolset for Determining Optimal Coal Gasification Temperatures. United States: N. p., 2016. Web. doi:10.1515/jmsp-2016-0022.
Kwong, Kyei-Sing, & Bennett, James P. A Slag Management Toolset for Determining Optimal Coal Gasification Temperatures. United States. https://doi.org/10.1515/jmsp-2016-0022
Kwong, Kyei-Sing, and Bennett, James P. Fri . "A Slag Management Toolset for Determining Optimal Coal Gasification Temperatures". United States. https://doi.org/10.1515/jmsp-2016-0022. https://www.osti.gov/servlets/purl/1433617.
@article{osti_1433617,
title = {A Slag Management Toolset for Determining Optimal Coal Gasification Temperatures},
author = {Kwong, Kyei-Sing and Bennett, James P.},
abstractNote = {Abstract Gasifier operation is an intricate process because of the complex relationship between slag chemistry and temperature, limitations of feedstock materials, and operational preference. High gasification temperatures increase refractory degradation, while low gasification temperatures can lead to slag buildup on the gasifier sidewall or exit, either of which are problematic during operation. Maximizing refractory service life and gasifier performance require finding an optimized operating temperature range which is a function of the coal slag chemistry and viscosity. Gasifier operators typically use a slag’s viscosity-temperature relationship and/or ash-fusion fluid temperature to determine the gasification temperature range. NETL has built a slag management toolset to determine the optimal temperature range for gasification of a carbon feedstock. This toolset is based on a viscosity database containing experimental data, and a number of models used to predict slag viscosity as a function of composition and temperature. Gasifier users typically have no scientific basis for selecting an operational temperature range for gasification, instead using experience to select operational conditions. The use of the toolset presented in this paper provides a basis for estimating or modifying carbon feedstock slags generated from ash impurities in carbon feedstock.},
doi = {10.1515/jmsp-2016-0022},
journal = {Journal for Manufacturing Science and Production},
number = 4,
volume = 16,
place = {United States},
year = {Fri Nov 25 00:00:00 EST 2016},
month = {Fri Nov 25 00:00:00 EST 2016}
}