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- SRI International, Menlo Park, CA (United States). Chemistry and Chemical Engineering Lab.
Coal switching is often an important part of compliance strategies that seek an optimal balance among the technology upgrades, bubble-based emissions averages across several boiler,s and open-market trading allowances. Although switching is now motivated by SO{sub 2} compliance, a new coal can affect many other operating characteristics, including pulverizer performance, heat rate, slagging and fouling, unburned carbon in ash, NO{sub x} emissions, and certainly cost. In light of the push for tighter NO{sub x} regulations before the turn of the century under Title 1 of the Clean Air Act amendments, it is prudent for utilities to factor in the impact of a coal switch on NO{sub x} and unburned carbon emissions into their coal selection decisions. With the advent of so-called coal network depolymerization models during the past decade, it is now possible to predict how the different properties of various coals will affect the initial stages of pulverized coal combustion. Three phenomenological network models are available. Whereas FLASHCHAIN and the CPD model are based on the same concise set of rate mechanisms, the FG-DVC model is all-encompassing. Each can generate predictions for yields, transient evolution rates, and various product characteristics based on coal-specific characterization data.
- OSTI ID:
- 514887
- Report Number(s):
- CONF-970456-; TRN: IM9737%%381
- Resource Relation:
- Conference: 59. Annual meeting of the American power conference, Chicago, IL (United States), 1-3 Apr 1997; Other Information: PBD: 1997; Related Information: Is Part Of Proceedings of the American power conference: Volume 59-2; McBride, A.E. [ed.]; PB: 777 p.
- Country of Publication:
- United States
- Language:
- English
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