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Title: MINIMIZATION OF CARBON LOSS IN COAL REBURNING

Abstract

This project develops Fuel-Flexible Reburning (FFR), which combines conventional reburning and Advanced Reburning (AR) technologies with an innovative method of delivering coal as the reburning fuel. The overall objective of this project is to develop engineering and scientific information and know-how needed to improve the cost of reburning via increased efficiency and minimized carbon in ash and move the FFR technology to the demonstration and commercialization stage. Specifically, the project entails: (1) optimizing FFR with injection of gasified and partially gasified fuels with respect to NO{sub x} and carbon in ash reduction; (2) characterizing flue gas emissions; (3) developing a process model to predict FFR performance; (4) completing an engineering and economic analysis of FFR as compared to conventional reburning and other commercial NO{sub x} control technologies, and (5) developing a full-scale FFR design methodology. The project started in August 2000 and will be conducted over a two-year period. The work includes a combination of analytical and experimental studies to identify optimum process configurations and develop a design methodology for full-scale applications. The first year of the program included pilot-scale tests to evaluate performances of two bituminous coals in basic reburning and modeling studies designed to identify parameters that affectmore » the FFR performance and to evaluate efficiency of coal pyrolysis products as a reburning fuel. Tests were performed in a 300 kW Boiler Simulator Facility to characterize bituminous coals as reburning fuels. Tests showed that NO{sub x} reduction in basic coal reburning depends on process conditions, initial NO{sub x} and coal type. Up to 60% NO{sub x} reduction was achieved at optimized conditions. Modeling activities during first year concentrated on the development of coal reburning model and on the prediction of NO{sub x} reduction in reburning by coal gasification products. Modeling predicted that composition of coal gasification products depends on gasification temperature. At lower temperature yield of hydrocarbons is high which results in higher efficiency of NO{sub x} control. As temperature decreases, yield of hydrocarbons increases and CO and H{sub 2} yields decrease.« less

Authors:
;
Publication Date:
Research Org.:
General Electric Energy and Environmental Research Corporation (US)
Sponsoring Org.:
(US)
OSTI Identifier:
834061
DOE Contract Number:  
FC26-00NT40912
Resource Type:
Technical Report
Resource Relation:
Other Information: PBD: 7 Sep 2001
Country of Publication:
United States
Language:
English
Subject:
01 COAL, LIGNITE, AND PEAT; 12 MANAGEMENT OF RADIOACTIVE WASTES, AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES; BITUMINOUS COAL; BOILERS; CARBON; COAL; COAL GASIFICATION; COMMERCIALIZATION; ECONOMIC ANALYSIS; EFFICIENCY; FLUE GAS; FORECASTING; GASIFICATION; HYDROCARBONS; MINIMIZATION; PYROLYSIS PRODUCTS; SIMULATION; SIMULATORS

Citation Formats

Zamansky, Vladimir M, and Lissianski, Vitali V. MINIMIZATION OF CARBON LOSS IN COAL REBURNING. United States: N. p., 2001. Web. doi:10.2172/834061.
Zamansky, Vladimir M, & Lissianski, Vitali V. MINIMIZATION OF CARBON LOSS IN COAL REBURNING. United States. https://doi.org/10.2172/834061
Zamansky, Vladimir M, and Lissianski, Vitali V. 2001. "MINIMIZATION OF CARBON LOSS IN COAL REBURNING". United States. https://doi.org/10.2172/834061. https://www.osti.gov/servlets/purl/834061.
@article{osti_834061,
title = {MINIMIZATION OF CARBON LOSS IN COAL REBURNING},
author = {Zamansky, Vladimir M and Lissianski, Vitali V},
abstractNote = {This project develops Fuel-Flexible Reburning (FFR), which combines conventional reburning and Advanced Reburning (AR) technologies with an innovative method of delivering coal as the reburning fuel. The overall objective of this project is to develop engineering and scientific information and know-how needed to improve the cost of reburning via increased efficiency and minimized carbon in ash and move the FFR technology to the demonstration and commercialization stage. Specifically, the project entails: (1) optimizing FFR with injection of gasified and partially gasified fuels with respect to NO{sub x} and carbon in ash reduction; (2) characterizing flue gas emissions; (3) developing a process model to predict FFR performance; (4) completing an engineering and economic analysis of FFR as compared to conventional reburning and other commercial NO{sub x} control technologies, and (5) developing a full-scale FFR design methodology. The project started in August 2000 and will be conducted over a two-year period. The work includes a combination of analytical and experimental studies to identify optimum process configurations and develop a design methodology for full-scale applications. The first year of the program included pilot-scale tests to evaluate performances of two bituminous coals in basic reburning and modeling studies designed to identify parameters that affect the FFR performance and to evaluate efficiency of coal pyrolysis products as a reburning fuel. Tests were performed in a 300 kW Boiler Simulator Facility to characterize bituminous coals as reburning fuels. Tests showed that NO{sub x} reduction in basic coal reburning depends on process conditions, initial NO{sub x} and coal type. Up to 60% NO{sub x} reduction was achieved at optimized conditions. Modeling activities during first year concentrated on the development of coal reburning model and on the prediction of NO{sub x} reduction in reburning by coal gasification products. Modeling predicted that composition of coal gasification products depends on gasification temperature. At lower temperature yield of hydrocarbons is high which results in higher efficiency of NO{sub x} control. As temperature decreases, yield of hydrocarbons increases and CO and H{sub 2} yields decrease.},
doi = {10.2172/834061},
url = {https://www.osti.gov/biblio/834061}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Sep 07 00:00:00 EDT 2001},
month = {Fri Sep 07 00:00:00 EDT 2001}
}