Liquid Tin Irrigated Packed Bed for Hot Fuel Gas Desulfurization

2007 ◽  
Vol 46 (26) ◽  
pp. 9015-9021 ◽  
Author(s):  
Changkook Ryu ◽  
Mohd H. S. Ismail ◽  
Vida N. Sharifi ◽  
Jim Swithenbank
Keyword(s):  
Packed Bed ◽  
Fuel Gas ◽  
Hot Fuel Gas Desulfurization ◽  
Liquid Tin

Fuel Gas Cleanup Parameters in Air-Blown IGCC

1999 ◽  
Vol 122 (2) ◽  
pp. 247-254 ◽  
Author(s):  
Richard A. Newby ◽  
Wen-Ching Yang ◽  
Ronald L. Bannister
Keyword(s):  
Power Plant ◽  
Sulfur Removal ◽  
Combined Cycle ◽  
Ammonia Content ◽  
Fuel Gas ◽  
Heating Value ◽  
Fluid Bed ◽  
Overall Performance ◽  
Hot Fuel Gas Desulfurization ◽  
Removal Technique

Fuel gas cleanup processing significantly influences overall performance and cost of IGCC power generation. The raw fuel gas properties (heating value, sulfur content, alkali content, ammonia content, “tar” content, particulate content) and the fuel gas cleanup requirements (environmental and turbine protection) are key process parameters. Several IGCC power plant configurations and fuel gas cleanup technologies are being demonstrated or are under development. In this evaluation, air-blown, fluidized-bed gasification combined-cycle power plant thermal performance is estimated as a function of fuel type (coal and biomass fuels), extent of sulfur removal required, and the sulfur removal technique. Desulfurization in the fluid bed gasifier is combined with external hot fuel gas desulfurization, or, alternatively with conventional cold fuel gas desulfurization. The power plant simulations are built around the Siemens Westinghouse 501F combustion turbine in this evaluation. [S0742-4795(00)00502-0]

Design and cost optimization of a hot fuel gas desulfurization process

1982 ◽  
Vol 6 (3) ◽  
pp. 255-267
Author(s):  
J.Thomas Schrodt ◽  
Eung T. Kim ◽  
Bala S. Vaidyanathan
Keyword(s):  
Cost Optimization ◽  
Fuel Gas ◽  
Desulfurization Process ◽  
Hot Fuel Gas Desulfurization

Thermodynamic assessment of IGCC power plants with hot fuel gas desulfurization

2010 ◽  
Vol 87 (11) ◽  
pp. 3374-3383 ◽  
Author(s):  
Antonio Giuffrida ◽  
Matteo C. Romano ◽  
Giovanni G. Lozza
Keyword(s):  
Power Plants ◽  
Thermodynamic Assessment ◽  
Fuel Gas ◽  
Hot Fuel Gas Desulfurization

Operational characteristics of the pilot-scale coal gasification with filtration and hot fuel gas desulfurization

2016 ◽  
Vol 33 (9) ◽  
pp. 2610-2621 ◽  
Author(s):  
Jieun Lee ◽  
Suk-Hwan Kang ◽  
Hyo-Sik Kim ◽  
Dong-Hwan Jeon ◽  
Seung-Jong Lee ◽  
...  
Keyword(s):  
Coal Gasification ◽  
Pilot Scale ◽  
Fuel Gas ◽  
Operational Characteristics ◽  
Hot Fuel Gas Desulfurization

scholarly journals Fuel Gas Cleanup Parameters in Air-Blown IGCC

1998 ◽  
Author(s):  
Richard A. Newby ◽  
Wen-Ching Yang ◽  
Ronald L. Bannister
Keyword(s):  
Power Plant ◽  
Sulfur Removal ◽  
Combined Cycle ◽  
Fuel Type ◽  
Ammonia Content ◽  
Fuel Gas ◽  
Fluid Bed ◽  
Overall Performance ◽  
Hot Fuel Gas Desulfurization ◽  
Removal Technique

Fuel gas cleanup processing significantly influences overall performance and cost of IGCC power generation. The raw fuel gas properties (hearing value, sulfur content, alkali content, ammonia content, “tar” content, particulate content) and the fuel gas cleanup requirements (environmental and turbine protection) are key process parameters. Several IGCC power plant configurations and fuel gas cleanup technologies are being demonstrated or are under development. In this evaluation, air-blown, fluidized-bed gasification combined-cycle power plant thermal performance is estimated as a function of fuel type (coal and biomass fuels), extent of sulfur removal required, and the sulfur removal technique. Desulfurization in the fluid bed gasifier is combined with external hot fuel gas desulfurization, or, alternatively with conventional cold fuel gas desulfurization. The power plant simulations are built around the Westinghouse 501F combustion turbine in this evaluation.

Performance of a coal gasification pilot plant with hot fuel gas desulfurization

2013 ◽  
Vol 30 (1) ◽  
pp. 67-72 ◽  
Author(s):  
Suk-Hwan Kang ◽  
Seong-Jong Lee ◽  
Woo-Hyun Jung ◽  
Seok-Woo Chung ◽  
Yongseung Yun ◽  
...  
Keyword(s):  
Pilot Plant ◽  
Coal Gasification ◽  
Fuel Gas ◽  
Hot Fuel Gas Desulfurization

Preparation and Reactivity Test of Nano Size ZnO for Removal of H2S and COS in a Gasified Fuel Gas

2007 ◽  
Vol 124-126 ◽  
pp. 1003-1006 ◽  
Author(s):  
No Kuk Park ◽  
Yu Jin Lee ◽  
Gi Bo Han ◽  
Si Ok Ryu ◽  
Tae Jin Lee
Keyword(s):  
Zinc Oxide ◽  
Surface Area ◽  
Absorption Rate ◽  
Packed Bed ◽  
Zinc Nitrate ◽  
Packed Bed Reactor ◽  
Fuel Gas ◽  
Zinc Oxides ◽  
Reactivity Test ◽  
Nano Size

A nano-size zinc oxide was formulated for the effective removal of a very low concentration of sulfur compounds (H2S, COS) contained in a gasified fuel gas and their reactivity was also investigated in this study. They were prepared by a matrix-assisted method with various precursors. An active carbon was used for a matrix and zinc nitrate, zinc chloride, and zinc sulfate were selected as precursors. Zinc nitrate was the best precursor for the formulation of the nano-size zinc oxide in the experiments. The size of the formulated nano-size zinc oxides was in the range of 20-30 nm and its surface area was about 56.2 m2/g. From TGA(thermal gravity analysis) test, it was found that its sulfur capacity was about 5.83 gS/100 g-sorbent and sulfur absorption rate was about 0.363 gS/min·100 g-sorbent. Their reactivity increased with the smaller size and the larger surface area of the sorbents. Most prepared nano-size zinc oxides showed an excellent performance for the removal of not only H2S but also COS. Their absorption rate was faster than commercial zinc oxides. In order to investigate the sulfur absorption characteristics of zinc oxide, a experiments for the nano-size zinc oxides formulated from zinc nitrate precursors were carried out in a packed-bed reactor system over the temperature of 500 . It was concluded that the zinc oxide prepared by zinc nitrate as a precursor showed the highest sulfur removing capacity.

Fuel Gas and Incandescent Gas Lighting

1888 ◽  
Vol 25 (635supp) ◽  
pp. 10139-10140
Author(s):  
Chas. M. Lungren
Keyword(s):  
Fuel Gas

Managing total reduced sulfur emissions at a Canadian kraft pulp mill

TAPPI Journal ◽  
2016 ◽  
Vol 15 (4) ◽  
pp. 265-272 ◽  
Author(s):  
ROHAN BANDEKAR ◽  
JIM FREDERICK ◽  
JAROSLAV STAVIK
Keyword(s):  
Direct Contact ◽  
Black Liquor ◽  
Pulp Mill ◽  
Packed Bed ◽  
Average Value ◽  
Emission Limit ◽  
Total Reduced Sulfur ◽  
Reduced Sulfur ◽  
Air Ingress ◽  
Solids Content

This study addresses the challenges a dissolving-grade pulp mill in Canada faced in 2014 in meeting its total reduced sulfur (TRS) gas emission limit. These emissions from the recovery boiler exit are controlled by passing the boiler exit gas through a TRS scrubber system. The mill employs a cyclonic direct contact evaporator to concentrate black liquor to firing solids content. The off-gases from the direct contact evaporator flow to the effluent gas control system that consists of a venturi scrubber, a packed bed scrubber, and a heat recovery unit. Emissions of TRS greater than the regulated limit of 15 ppm were observed for a 4-month period in 2014. The level of emissions measured during this period was significantly higher than about 12 ppm, the expected average value based on historic experience. The problem persisted from mid-June 2014 until the annual mill shutdown in October 2014. The main TRS components detected and the performance of the Teller scrubber in capturing them are examined. Other potential causes for these emissions are identified, including mechanical problems such as broken packing in the TRS packed bed scrubber, broken baffle plates in the scrubber, and cyclone evaporator leaks causing air ingress. Repairs were carried out during the mill shutdown, which eliminated the TRS emissions problem.

Modified Effectiveness Model for Crossflow Packed-Bed Humidifiers

2019 ◽  
Vol 5 (1) ◽  
pp. 27-33
Author(s):  
Mostafa Sharqawy ◽  
◽  
Robert Zinni
Keyword(s):  
Packed Bed ◽  
Effectiveness Model
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