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Wednesday, December 3, 2008 Optimizing the Boiler Combustion Process in Tampa Electric Coal-Fired Power Plants Utilizing Fuzzy Neural Model Technology Tampa Electric Company (TEC), recognizing the increased focus on power plant emissions and the potential penalties for non-compliance, has undertaken several major projects at its Big Bend site in Apollo Beach, Florida to reduce the emissions being generated at the four units of Big Bend. As part of these projects, TEC has entered into a contract with Emerson Process Management Power and Water Solutions to provide an Emerson SmartProcess combustion optimization system on TEC Big Bend Unit #4 which will help reduce emissions and find the optimal positions for various parameters in the boiler combustion process, taking into account the changing goals of the unit as regulations change and the cost for non-compliance increases. This presentation will outline the combustion optimization system which was installed at TEC Big Bend Unit #4. TEC Big Bend Unit #4 is a Combustion Engineering tangentially fired boiler design and a General Electric extraction steam generator. The unit has a capacity 450 megawatts and primarily operates in base loaded mode with some lower megawatt loads occurring in the evenings and weekends in certain parts of the year. Unit #4 has 5 coal mills providing the coal to the combustion process which are referred to as A,B,C,D,E with 4 of these mills being required to be in operation to achieve 450 megawatts of power production. The air for the combustion process is provided by fuel air dampers for each level of combustion in the boiler, auxiliary air dampers between the levels of combustion in the boiler, overfire air dampers (OFA’s) and secondary overfire air dampers (SOFA’s). Harry R. Winn George M. Bolos, P.E.
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