Sorbent for removing nitrogen oxides, sulfur oxides and hydrogen sulfide from gas streams
AssigneeNoxso Corporation
InventorsLewis G. Neal, John L. Haslbeck, Hsiaopin Tseng
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Abstract
Novel sorbents comprising (a) an alumina substrate having a pore volume between 0.4 and 0.8 cc/g, and (b) an alkali or alkaline earth component, for example, sodium carbonate, wherein the amount of the alkali or alkaline earth component is between 50 and 400 .mu.g per m.sup.2 of the substrate. The sorbents of the present invention are outstandingly effective for the removal of nitrogen oxides, sulfur oxides and hydrogen sulfide from waste gas streams.
Claims13
A regenerable attrition resistant sorbent useful in a fluidized bed for the removal of gaseous nitrogen oxides, sulfur oxides and hydrogen sulfide from waste gas streams, which sorbent comprises
- (a) a gamma alumina substrate having a surface area between 100 m.sup.2 /g and 500 m.sup.2 /g and a pore volume between 0.4 and 0.8 cc/g, said gamma alumina substrate having a bimodal pore size distribution comprising micropores and macropores, said micropores having an average pore diameter d.sub.1 in the range of between 30 and 400 Angstroms and said macropores having an average pore diameter d.sub.2 in the range of between 80 and 3000 Angstroms, and
- (b) an alkali metal component, said substrate impregnated with said alkali metal component and the amount of said alkali metal component being between 50 and 400 .mu.g per m.sup.2 of said substrate.
A regenerable attrition resistant sorbent useful in a fluidized bed for the removal of gaseous nitrogen oxides, sulfur oxides and hydrogen sulfide from waste gas streams, which sorbent comprises:
- (a) a gamma alumina substrate having a surface area between 100 m.sup.2 /g and 500 m.sup.2 /g and a pore volume between 0.6 and 0.8 cc/g, and
- (b) an alkali metal component, said substrate impregnated with said alkali metal component and the amount of said alkali metal component being between 150 and 250 .mu.g per m.sup.2 of said substrate.
Dependencies are inferred from the claim text.