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Mercury Control Technologies. Utility MACT Working Group May 30, 2002. Mercury Control Overview. Mercury emissions dependent on: mercury content of coal combustion and physical characteristics of unit emission control technologies employed. Mercury Content of Coal.
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Mercury Control Technologies Utility MACT Working Group May 30, 2002
Mercury Control Overview • Mercury emissions dependent on: • mercury content of coal • combustion and physical characteristics of unit • emission control technologies employed
Mercury Content of Coal • Assumptions on the mercury content of coal are derived from EPA’s ICR data • over 40,000 data points indicating coal type, sulfur content, and mercury content • ICR data points grouped by IPM coal types and IPM coal supply regions • clustering analysis was used to map the weighted average mercury content for a specific coal type-supply region
Mercury Emission Modification Factors • ICR data was used to derive EMFs • EMF dependent on unit’s burner type, particulate control, and NOx and SO2 control • Mercury reduction achieved is 1-EMF • EMF varies by the type of coal • subbituminous and lignite coal assumed to have same EMFs
Mercury Control Capabilities • Two retrofit options in IPM for mercury control: • Activated carbon injection (ACI) • SO2/NOx retrofits • Wet FGD + SCR • Wet FGD + SNCR • Mercury removal for SO2/NOx retrofits based on EMF assumptions • Mercury removal for ACI currently at 80%
ACI Costs • ACI cost and performance were obtained from study by DOE NETL and EPA ORD • NETL-ORD study developed capital, FOM, and VOM costs of different components of ACI retrofit • Spray cooling • Sorbent injection • Sorbent disposal • Pulse-jet fabric filter • Separate cost functions for 26 control configurations and coal types were developed for a range of mercury removal rates • Equations found in Appendix 5.3
ACI Costs • Several steps were taken to adapt these equations for use in IPM: • NETL/ORD equations reduce to function of unit capacity and heat rate • Used average heating values of coal to convert sulfur by weight into lbs of sulfur per mmBtu • Polynomial fits used to incorporate equations into IPM • Assumption of 80% removal used to develop polynomial fits • Table 5.8 provides example costs for 500 MW unit with heat rate of 10,000 Btu/kWh