Thermal Power Plant
Technical Paper
Boiler Performance Improvement Due to Intelligent Sootblowing Utilizing Real-Time Boiler Modeling on UP® Boilers
S. J. Piboontum, S. M. Smith, and R. S. Conrad The Babcock & Wilcox Company Barberton, Ohio, U.S.A.
Presented to: Electric Power 2005 April 5-7, 2005 Chicago, IL, U.S.A
BR-1766
Boiler Performance Improvement Due to Intelligent Sootblowing Utilizing Real-Time Boiler Modeling on UP® Boilers
S. J. Piboontum The Babcock & Wilcox Company Barberton, Ohio, U.S.A. Presented to Electric Power 2005 April 5 - 7, 2005 Chicago, Illinois, U.S.A. S. M. Swift The Babcock & Wilcox Company Barberton, Ohio, U.S.A. R. S. Conrad The Babcock & Wilcox Company Barberton, Ohio, U.S.A. BR-1766
Abstract
To achieve optimum boiler operation and performance it is necessary to control the cleanliness and limit the fouling and slagging of the heat transfer surfaces. Historically, the heating surfaces were cleaned by air-blowing, steam-blowing, or water-blowing sootblowers on a scheduled time-based interval. With the advent of fuel switching strategies such as changing from bituminous to Powder River Basin (PRB) subbituminous coals to reduce emissions, the control of heating surface cleanliness has become more problematic for many steam generator owners. A scheduled cleaning approach does not easily address changes in operation. Also, as power plant operators push to achieve greater efficiency and performance from their boilers, the ability to more effectively optimize cleaning cycles has become increasingly important. Sootblowing only when and where it is required to maintain unit performance can reduce unnecessary blowing, save on blowing medium utilization, and reduce tube erosion and wear. The Babcock & Wilcox Company’s (B&W’s) core technology for boiler design is based on modeling of boiler heating surfaces to establish heating surface requirements and performance. The modeling process also must consider fuel types and the combustion
Boiler Performance Improvement Due to Intelligent Sootblowing Utilizing Real-Time Boiler Modeling on UP® Boilers
S. J. Piboontum, S. M. Smith, and R. S. Conrad The Babcock & Wilcox Company Barberton, Ohio, U.S.A.
Presented to: Electric Power 2005 April 5-7, 2005 Chicago, IL, U.S.A
BR-1766
Boiler Performance Improvement Due to Intelligent Sootblowing Utilizing Real-Time Boiler Modeling on UP® Boilers
S. J. Piboontum The Babcock & Wilcox Company Barberton, Ohio, U.S.A. Presented to Electric Power 2005 April 5 - 7, 2005 Chicago, Illinois, U.S.A. S. M. Swift The Babcock & Wilcox Company Barberton, Ohio, U.S.A. R. S. Conrad The Babcock & Wilcox Company Barberton, Ohio, U.S.A. BR-1766
Abstract
To achieve optimum boiler operation and performance it is necessary to control the cleanliness and limit the fouling and slagging of the heat transfer surfaces. Historically, the heating surfaces were cleaned by air-blowing, steam-blowing, or water-blowing sootblowers on a scheduled time-based interval. With the advent of fuel switching strategies such as changing from bituminous to Powder River Basin (PRB) subbituminous coals to reduce emissions, the control of heating surface cleanliness has become more problematic for many steam generator owners. A scheduled cleaning approach does not easily address changes in operation. Also, as power plant operators push to achieve greater efficiency and performance from their boilers, the ability to more effectively optimize cleaning cycles has become increasingly important. Sootblowing only when and where it is required to maintain unit performance can reduce unnecessary blowing, save on blowing medium utilization, and reduce tube erosion and wear. The Babcock & Wilcox Company’s (B&W’s) core technology for boiler design is based on modeling of boiler heating surfaces to establish heating surface requirements and performance. The modeling process also must consider fuel types and the combustion