B&W's extensive experience, advanced technology and full-scope capabilities make our selective catalytic reduction (SCR) systems the equipment of choice for reducing NO_x by some of the cleanest and most efficient utilities and industrial facilities in operation.

SCRs, which are used to facilitate a chemical reaction and convert NO_x formed during combustion and ammonia into N₂ and water, are an integral part of comprehensive air quality control systems designed to eliminate or reduce emissions from the flue gas stream.

Our reference plant installations include applications that utilize fossil and biomass fuels, as well as municipal waste. Our experience over more than thirty years has established long lasting relationships with several reputable catalyst suppliers from around the world, and together, we provide considerable process application, catalyst selection, sizing and project execution expertise.

Our vast experience allows us to anticipate and control the potential effects of increased SO₃ production, increased pressure drop, or ammonia slip.

Through our array of SCR reactor and flue design options, we can match our overall system design to the available space on site.

B&W’s innovative design features include:

• Economizer exit gas temperature control solutions, including the V-Temp™ economizer system
• Unique ash management options
• Effective ammonia injection and mixing equipment
• Modularized designs for constructability
• Combustion additive for enhanced catalyst performance

Selective Non-catalytic Reduction (SNCR) Technology 

In certain applications, B&W’s selective non-catalytic reduction (SNCR) technology can be deployed as a relatively low capital cost solution. Our SNCR technology utilizes atomizing nozzles to inject ammonia or urea solutions directly into the hot gas to chemically reduce NOx to nitrogen and water. Our goals are to maximize NOx control performance while optimizing chemical utilization with low reagent consumption and the lowest levels of reagent slip. We utilize numerical modeling techniques to assure optimum gas flow distribution to achieve this goal.