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Authors requiring further information regarding Elsevier’s archiving and manuscript policies are encouraged to visit: http://www.elsevier.com/copyright Author's personal copy Fuel 87 (2008) 3322–3330 Contents lists available at ScienceDirect Fuel journal homepage: www.elsevier.com/locate/fuel Abatement of mercury emissions in the coal combustion process equipped with a Fabric Filter Baghouse Yan Cao a,*, Chin-Min Cheng a, Chien-Wei Chen a, Mingchong Liu a,b, Chiawei Wang a,b, Wei-Ping Pan a a b Institute for Combustion Science and Environmental Technology (ICSET), Western Kentucky University (WKU), 2413 Nashville Road, Bowling Green, KY 42101, USA Mingchi University, Taipei, Taiwan a r t i c l e i n f o Article history: Received 27 November 2007 Received in revised form 10 May 2008 Accepted 16 May 2008 Available online 12 June 2008 Keywords: CFBC PC Mercury emission Fabric filter baghouse Fly ash a b s t r a c t The purpose of this study was to investigate the dependence of mercury emissions on coal ranks and electric utility boilers equipped with Fabric Filter Baghouses (FF). A comparison of mercury emission rates and fly ash properties was made between a circulating Fluidized Bed Combustor (CFBC) with FF and a Pulverized Coal (PC) combustor with FF during the burning of all three ranks of American coals. The data were collected from the Environmental Protection Agency Information Collection Request (EPA ICR) and WKU ICSET’s mercury testing program. A statistical stepwise regression procedure was used to determine significant factors such as coal rank and types of boilers equipped with FF on mercury emissions during coal combustion. The higher mercury emission rates were generally found in both CFB and PC units when lignite was burned. The lower mercury emission rates were generally found in both CFB equipped with FF and PC units equipped with FF when bituminous coal was burned. There was a statistically significant lower mercury emission in the CFBC equipped with FF than that in the PC units when sub-bituminous coal was burned. Lower mercury emission rates in electric utility boilers equipped with FF are due to the active fly ash generated with a larger specific surface area and pore volume. Higher mercury emission rates observed during lignite-fired boilers may be due to their lower specific area of fly ash, which results from lower LOI, as well as the pore blockage by selenium (Se) for Texas lignite; and sodium (Na) and potassium (K) for North Dakota lignite. There is no significant mutual benefit for the mercury captured by the addition of Spray Dry Absorber (SDA) or selective non-catalytic reduction (SNCR) in the CFBC system. Ó 2008 Elsevier Ltd. All rights reserved. 1. Introduction The United States (US) Environmental Protection Agency (EPA) promulgated the Clear Air Mercury Rule [21] to permanently cap and reduce mercury emissions from coal-fired electric utilities boilers, because mercury is a persistent bio-accumulative toxin that builds up in human body tissue [1]. The US EPA has also recently promulgated the Clean Air Interstate Rule (CAIR) to further reduce SO2 and NOx. This has led to additional installations of control systems for Particulate Matter (PM), SO2 and NOx, which have been identified to also reduce mercury emissions without additional cost [13,14,24]. Under Section 111 of the Clean Air Act (CAA), New Source Performance Standards (NSPS) on mercury have been established based on Best Demonstrated Technology (BDT) considering cost, non-air-quality health, environmental impacts, and energy requirements. However, on February 8, 2008 the US * Corresponding author. Tel.: +270 7790202; fax: +270 7452221. E-mail address: yan.cao@wku.edu (Y. Cao). 0016-2361/$ - see front matter Ó 2008 Elsevier Ltd. All rights reserved. doi:10.1016/j.fuel.2008.05.010 Court of Appeals for the District of Columbia issued a unanimous decision vacating the US Environmental Protection Agency’s Clean Air Mercury Rule (CAMR) and the rule ‘‘de-listing” Electric Generating Units (EGUs) from the list of sources requiring regulation under the Clean Air Act Section 112. There is considerable uncertainty on the subject of regulators and regulated entities. This uncertainty is particularly acute when it pertains to the mercury monitoring provisions of the rule, which will become effective by January 1, 2009 (No. 05-1097. United States Court of Appeals) [12]. Based on currently-available EPA Information Collection Request (ICR) data [8,20], a fabric filter baghouse (FF) can be more effective for particle-bound mercury capture than an electrostatic precipitator (ESP). This is due to enhanced heterogeneous oxidation and adsorption of mercury by fly ash in FF. The combination of Selective Catalytic Reduction (SCR) and Flue Gas Desulfurization (FGD) is another effective mercury control method. This is due to the effective control of the oxidized mercury by FGD after the enhanced elemental mercury oxidation by SCR. Thus, BDT of mercury emissions in coal-fired electric utility boilers is considered to be Author's personal copy Y. Cao et al. / Fuel 87 (2008) 3322–3330 either an FF, or an FGD or their combined utilization [6,10,11,18]. However, the use of FF and SCR-FGD at US coal-fired power plants is limited. There is only a 9.4% installation of FFs in comparison to an 85.8% installation of ESPs and only a 28.2% installation of FGDs in electric utility boilers for total generating capacity (MW). Furthermore, the specific mercury removal performance of suggested BDT is largely varied, depending on coal properties and the combustion process [6]. Based on the EPA ICR program, the achievable mercury control efficiencies by BDT are 86.7% for bituminous coal-fired utility boilers. It is only 31.8% for sub-bituminous coalfired boilers (mainly Powder River Basin (PRB) coal) and even as low as 18.3% for lignite-fired utility boilers. The DOE Energy Information Administration (EIA) estimates that over 50% of the coal-reserve base is bituminous coal, about 30% is sub-bituminous and 9% is lignite [22]. The most common sub-bituminous coal in the US is located throughout Montana and Wyoming, and large deposits of lignite are located near North Dakota and Texas. Based on 1999 survey results, 52% of the total tonnage of coal burned by the electric utility industry is bituminous coal, approximately 36.5% is subbituminous and 6.5% is lignite [23]. There are over 1150 coal-fired electric utility boilers in the US based on EPA ICR data. Although Pulverized Coal (PC) boilers are considered part of the older designs, PC boilers account for approximately 86% of the total number of units and make up around 90% of nationwide generating capacity [24]. Cyclone furnaces account for approximately 7.6% of both the total units and the nationwide generating capacity. For comparison, the most advanced coal combustion technologies, such as CFBC and Integrated Gasification Combined Cycle (IGCC) units, only account for about 3.7% and 0.3% of the total units, respectively. They also account for about 1.3% and less than 0.1% of the nationwide generating capacity, respectively. The United States strives for energy security by developing advanced, environmentally-sound technologies and exploring a range of domestic energy sources. Coal will continue to prove itself a critical energy resource for the nation [9]. It is estimated that 159 new coal-fired units with about 70 gigawatts in total generating capacity will be built in the United States by 2030. Approximately 15% of the new units will be CFBCs (22 new units) in this resurgence, compared to the 3.7% presently available CFBCs [23]. CFB combustor development has progressed since the mid1960s because of its lower capital, operational, maintenance, and electricity generation costs compared to IGCC [2,25]. The US Government also recognized its potential as an efficient and environmentally friendly coal utilization technology. The technology offers a number of advantages. The long residence time of solid fuels in the CFBC system results in high combustion efficiency even with difficult-to-burn solid fuels. Low operating temperatures also effectively control SOx and NOx emissions. Staging of second air injection into the CFBC and Selective Non-catalytic Reduction (SNCR) technologies produces even lower NOx emissions [1,25]. The Spray Dry Absorber (SDA) is followed by an FF for collection of spent reagent and fly ash. Thus, SNCR and SDA with FF are generally the standard Air Pollution Control Devices (APCDs) for the CFBC system under the new CAIR. This study’s purpose was to screen out major factors on mercury emissions in all electric utility boilers by burning all ranks of coals. The evaluated data were collected from the EPA ICR program and WKU ICSET’s mercury field testing. We compared mercury emission rates and fly ash properties from CFBC boilers and conventional PC boilers equipped with FF during burning of all three typical American coals. A statistical stepwise regression procedure used to test the detailed investigations of mercury emission rates among different set-ups of APCD (SNCR, SDA + FF) in two commercial CFBC systems is also presented. 3323 2. Methods 2.1. Data collection Mercury emission data were collected from data bases of the EPA’s mercury ICR program and WKU ICSET mercury field testing. The EPA ICR data are from sampling activities, which were obtained based on ASTM D6784 Ontario Hydro Method (OHM). Besides ASTM OHM used, ICSET data were also from sampling activities by the semi-continuous Mercury Monitor (SCEM) and EPA Appendix K method. The EPA ICR data were collected upstream of the last air pollutant control device and the stack. The ICSET data were collected from sampling activities, which have been extended to varied APCD locations and boiler operation conditions. Thus, it could provide additional information about the dependence of mercury transformation at different locations and mercury emission rates on the boiler performance. Boilers equipped with FF were selected in this study because FF was predicted to be more efficient for mercury emission control than ESP. In the collected ICR data, there were 18 PC units, 1 cyclone unit, 9 CFBC units, 3 Stoker-fired units and 2 IGCC units. Coals burned in these units included bituminous, sub-bituminous, lignite and their blends. All ash characterization data were from the ICSET database. The mercury emission rate, which is commonly expressed as lb/ TBtu, was not used in this study. It does not include information on mercury input levels so that it is not accurate herein. In this study, the new mercury emission rate (lg/NM3/(lg/g Btu/lb)) is defined as mercury emissions in the stack (Hgstack, lg/NM3), per the mercury content (Hgcoal, lg/g) and also per heating value of the (BTUcoal, Btu/lb), see Eq. (1). This factor can be used to evaluate the mercury emission rates, which are dependent on the mercury content of the coal (Hgcoal) and coal heating value (Btucoal). We found loss of information in ICR data (for example, a complete analysis of coal) to calculate F-factor for every case and thus to correlate BTU and flue gas volume to make its unit have a simple mercury emission rate ¼ Hgstack =½ðHgcoal ÞðBtucoal Þ: ð1Þ 2.2. Stepwise regression analysis The collected data were subjected to the stepwise regression to build up a statistics model of significant analysis of factors affecting mercury emission rates. Stepwise regression can remove and add variables into the regression model to identify a useful subset of the factors. The basic principle in this stepwise regression is to calculate an F-statistic and p-value for each variable in the model. If the p-value for any variable is greater than Alpha to remove (0.15), then the variable with the largest p-value is removed from the model. If no variable can be removed, the procedure attempts to add a variable, and the next step begins. After trial and error calculations, the regression model will supply the most significant factors that fit the prediction. The selection or definition of the data’s subset is also dependent upon understanding mercury transformation in the coal-fired combustion process. In this study, SPSS statistics software was used to fulfill the stepwise regression analysis. We can keep variables in the model regardless of their p-values. Because analysis procedures require that factor variables and their corresponding response variables should have an equal amount in data size, we compiled the data bank into two groups (mercury emission rate and fly ash). The factor prediction on the mercury emission rate has 81 sets of data (54 sets from PC units and 27 sets from CFBC). Nine sets of data from stoker-fired units and 6 sets from IGCC data were excluded in the statistical analysis because little data was available and some of the required information was not collected during tests in the EPA ICR program for those units that were IGCC and Author's personal copy 3324 Y. Cao et al. / Fuel 87 (2008) 3322–3330 sion rate of Stoker-fired units was generally low, approximately 1.0 103(lg/NM3/(lg/g Btu/lb)). The PC boilers burning bituminous coals were also low, approximately 9.0 104(lg/NM3/(lg/ g Btu/lb)). The mercury emission rate was increased in PC boilers when the coal was switched from bituminous coal to a blend of bituminous coal and petroleum coke or sub-bituminous coal. PC boilers burning sub-bituminous coal showed an even higher mercury emission rate than those burning bituminous coal. This increasing trend was at its greatest when lignite coal was burned in the PC boilers – approximately 2.0 102 (lg/NM3/(lg/g Btu/ lb)). The cyclone-fired boiler burning bituminous coal showed a very high mercury emission rate, approximately 4.0 102 (lg/ NM3/(lg/g Btu/lb)) among all coal-fired combustion processes. However, there is only one such unit in the present study. The reason may be due to the higher combustion temperature, causing less ash to exit the cyclone boiler as fly ash. These conditions likely result in the lower reactivity and lower concentration of fly ash available for mercury capture with comparison to that of PC boilers. CFB boilers burning bituminous and sub-bituminous coals show very low mercury emission rates. Mercury emissions could also be efficiently controlled in a CFB boiler by burning their blendings. Compared to PC boilers burning lignite, a CFB boiler shows a lower mercury emission rate of about 1.0 102 (lg/NM3/(lg/ g Btu/lb)). The coal gasification-based IGCC process appears to have a higher mercury emission rate, around 6.0 103 (lg/ NM3/(lg/g Btu/lb)), than those of coal combustion-based boilers burning bituminous coal. From analysis, the mercury emission rate appears to be strongly related to the rank of coal and the type of boiler. Similarly shown in the Fig. 1, there is an apparent correlated trend of Hgash/Hgcoal and mercury emission rates. This may indicate that mercury adsorption by fly ash generated in boilers is a major method for controlling mercury emissions in coal-fired Stoker-fired. The fly ash characterization has 38 data sets (30 from PC units and 8 from CFBC units). 2.3. Ash characterization by its physical structure All fly ash samples in this study were collected in FF hoppers of selected boilers during ICSET mercury field tests. The surface and elemental analyses of fly ashes were performed using a JEOL LSM5400 Scanning Electron Microscope (SEM-EDX). The instrument’s operating parameters were as follows: the electron beam energy (15 keV), the working distance (30 mm) and the sample tilt angle (0°). In most cases, three magnifications at 200, 2000 and 10,000 were selected for analysis. Physical surface properties such as specific surface area (BET model or BJH model), pore volume, and average pore size of fly ashes were characterized by a Micromeritics’ ASAP Accelerated Surface Area and Porosimetry instrument (Micromeritics Instrument Corp.). The specific surface area was calculated by the BET equation from the nitrogen adsorption data in the relative pressure range of 0.05–0.2. The single point total pore volume was calculated from the amount of nitrogen adsorbed at a relative pressure of around 0.95. The micropore (pores 62 nm) [19] volume was obtained using the t-plots method; and the mesopore (2–50 nm) volume was determined using the BJH method. All of the calculations were performed with software provided by Micromeritics. The molecular sieve 13 provided by Micromeritics was run periodically to check the reliability of this instrument. 3. Results and discussion 3.1. Factors affecting mercury emission rate The mercury emission rates in boilers with different configurations and different coals are presented in Fig. 1. The mercury emis0.05 10000 mercury mission rate, Ash LOI, Hg(0)/Hg(VT)stack, - ClCoal, * Hgash/Hgcoal 0.035 100 0.03 0.025 10 0.02 1 0.015 0.01 0.1 0.005 0 Log(Ash LOI), Log(Hg(0)/Hg(VT)stack), Log(ClCoal ), Log(Hgash/Hgcoal) 1000 0.04 3 mercury emission rate, ( g/NM /( g/g Btu/lb)) 0.045 0.01 0 5 B Stoker-fired 10 B 15 B/P,SB PC SB 20 SB/L 25 L 30 A B B/SB Cyclone SB CFBC 35 L 40 B IGCC Fig. 1. The dependence of mercury emission rates on boiler types with FF and coal ranks (B: Bituminous coal, P: Petcoke, SB: Sub-Bituminous coal, A: Anthracite coal, and L: Lignite). Author's personal copy Y. Cao et al. / Fuel 87 (2008) 3322–3330 3325 boilers equipped with FF. Mercury is present in the gas phase at high temperatures during the coal combustion process. Mercury adsorption by fly ash occurs when the flue gas temperature is decreased downstream of the boiler. In this process, rank-related coal properties (such as the chlorine, sulfur, moisture and pore structure of fly ash), may influence mercury adsorption on the fly ash. An apparent decreasing trend of chlorine content in coals is found when the rank of coals decreases. This is followed by an increasing trend in mercury emission rates. This may imply that chlorine content in the coal may be the factor affecting the mercury emission rate. However, there is no significant correlation between the mercury emission rate and mercury speciation in the stack (Hg(0)/ Hg(VT)stack, the ratio of the elemental mercury and the total gaseous mercury), at least by available data shown in Fig. 1. The possible explanation for this could be that the great change of mercury speciation by the interaction between gaseous mercury and fly ash occurs after flue gas passes through the FF. The Loss On Ignition (LOI) content of the fly ash, which is relative to boiler type and coal rank, seemed to be correlated with the mercury emission rate based on the limited data available, as shown in Fig. 1. To more accurately predict the factors affecting mercury emission rates, three trials by a stepwise regression analysis based on two available data banks were conducted. All three trials investigated the trends in mercury emission rates by different boiler types burning different ranks of coals. In the first trial, factors included available data on boiler types, coal properties (such as coal rank, moisture (Mcoal), ash content (Acoal), sulfur content (Scoal), chlorine content (Clcoal), Hg content (Hgcoal) and heating value (Btucoal)). Four factors were finally chosen by the built-up regression model based on their importance. The four factors could explain 75.4% of the variation in mercury emission rates, as shown in Table 1. Among them, the most significant effects on mercury emission rates are coal rank and boiler type with higher confidence limits (very low statistical p-value). Other factors, based on a decreasing sequence of significance (in absolute line coefficient value), were Scoal and Mcoal. According to the affecting trends, four factors can be categorized into a group of positive factors, which include Scoal and Mcoal; and a group of negative factors, which include coal rank and boiler type. An increase of Scoal and Mcoal leads to an increase in the level of mercury emission rates. An increase in the coal ranks (Level 1: lignite, Level 2: sub-bituminous, and Level 3: bituminous) and an increase in the boiler type level (Level 1: PC and Level 2: CFBC) lead to a decrease in the level of mercury emission rates. Based on the definition of coal rank and levels of boiler types, it was found that burning low rank coal or blending it with higher rank coals in the conventional PC unit result in relatively higher mercury emission rates. In order to increase the prediction accuracy by the regression model, one more factor, mercury speciation in the flue gas (Hg(0)/Hg(VT)stack), was included in the model build-up in the second trial. All factors were able to explain 81.7% of the variation in the mercury emission rate, as seen in Table 1. This is a slight improvement over results achieved in the first trial. The most significant factors affecting mercury emission rates were still coal rank and boiler type. Other factors, which were found to be less significant, were Btucoal, Scoal and Mcoal. The same trends of factors appeared repeatedly in both trials. For the new factor, Hg(0)/ Hg(VT)stack, it appeared that an increase in the Hg(0)/Hg(VT)stack level leads to an increase in mercury emission rates. It is unusual that the critical factor on mercury speciation, Clcoal, was not a significant factor in the regression model. Nevertheless, Scoal was found to be a factor in the regression model. It may be implied that Clcoal, which was found to be a critical factor affecting mercury speciation, did not have a direct effect on mercury adsorption on the fly ash. Scoal may have a direct effect on mercury adsorption on the fly ash [3,7,16]. An alternative possibility is that coal rank, which was positively correlated with Clcoal, may replace the function of Clcoal in the regression model. The third trial by the stepwise regression procedure was conducted to investigate the most significant factors on the mercury emission rate. Two factors were chosen by the regression model, which are boiler type and coal rank. These are the most significant factors affecting the variation of mercury emission rates in this study. Those two factors were able to explain 71.6% of the variation in mercury emission rates within the confidence limits. The CFB burning higher rank coal can achieve the best mercury removal efficiency among all other boilers burning the same rank of coal (temperature factor is not included in this analysis due to less and incomplete information found in the ICR database. Discussion on impact of this factor on mercury emission rates has been included in a reference [20]). Table 1 Stepwise statistical analysis on factors of mercury emission rates Fly ash is a key point in explaining the significance of lower mercury emission rates in CFBC units, as indicated in Fig. 1 and Table 1. The pore structure of fly ash from different coals is presented in Fig. 2. The specific surface area of fly ash from the CFBC (approximately 15 m2/gram) is generally higher than those from other PC boilers (generally below 10 m2/gram based on collected data in this study). The specific surface areas of fly ashes from the PC boilers show a larger scatter, depending on coal ranks. The fly ash from the lignite-fired PC boiler had the lowest specific surface area (approximately 1.0 m2/gram) among the three ranks of coal. The pore volume of fly ash increased when the specific surface area increased. However, the pore size of fly ash did not show any significant trend with different ranks of coals. In order to characterize fly ash generated by different coal ranks and boiler types, the specific surface area, pore volume and pore size of fly ash with boiler type and coal rank were taken into the stepwise regression analysis. Two factors (boiler type and coal rank) explained the 82.2% variation of the specific surface area of fly ash generated by different boilers burning different ranks of coals, 75% variation of their pore volume and 57.9% variation of pore size. This implies that the specific surface area of fly ash is a more significant parameter than other physical properties of fly ash. An increase in the coal ranks (Level 1: lignite, Level 2: sub-bituminous, and Level 3: bituminous) leads to an increase of specific surface area. The same trend is Code Factor Linear coefficient p-value 1 2 3 4 Coal rank Boiler type Scoal Mcoal 0.005 0.00733 0.00101 0.00016 <0.001 <0.001 0.021 0.063 5 6 7 8 9 10 Coal rank Boiler type Hg(0)/Hg(VT)stack BTUcoal Scoal Mcoal 0.0044 0.00864 0.0056 <0.00001 0.0080 0.00013 <0.001 <0.001 <0.001 0.001 0.034 0.083 11 12 Coal rank Boiler type 0.00738 0.00571 <0.001 <0.001 Adjusted-R2 75.4% 81.7% 71.6% Level value Coal rank Lignite Sub-bituminous coal Bituminous coal 1 2 3 Boiler PC CFBC 1 2 3.2. The correlation of fly ash properties with mercury emission rates Author's personal copy 3326 Y. Cao et al. / Fuel 87 (2008) 3322–3330 0.05 25 BET SSA, m2/g Pore size, nm Pore Volume, cm³/g 0.04 20 0.025 0.02 10 2 0.03 15 Pore Volume, cm /g 0.035 2 Specific surface area (BET, m /g) or Pore size, nm 0.045 0.015 5 0.01 0.005 0 0 0 5 10 15 20 Bituminous CFBC Stocker-fired 25 30 Sub-bituminous 35 40 45 Lignite PC Fig. 2. The factors on fly ash properties. observed in the case of pore volume. The development of pore structure in the fly ash might play an important part in enhancing mercury adsorption on the fly ash in the FF, which is correlated to coal ranks and boilers (Table 2). Scanning electron microscopy (SEM) has been used directly in studies of morphological changes during coal combustion in boilers. Figs. 3, 4 and 5 show SEM morphologies of different fly ashes generated by PC boilers. Texas lignite usually generates a very smooth and round fly ash in PC units. There are no interconnections between the few pores found within these particles. Higher Table 2 Stepwise statistical analysis on factors of fly ash properties Code Factor Linear coefficient p-value BET 1 2 Boiler type Coal rank 9.51 1.39 <0.001 <0.001 Adjusted-R2 82.2% Pore volume 3 4 Boiler type Coal rank 0.0168 0.0085 <0.001 <0.001 75.2% Pore size 5 6 Boiler type Coal rank 4.6 5 <0.001 <0.001 57.9% Level value Coal rank Lignite Sub-bituminous coal Bituminous coal 1 2 3 Boiler type PC CFBC 1 2 combustion reactivity of low rank lignite results in lower LOI content in its fly ash, and thus, not much carbon is left for developing the pore structure in fly ash. Alternatively, Selenium (Se) is identified in these particles by using EDX. Selenium may form a coating layer, which will block the pore structure of fly ash and prevent Hg from being adsorbed on the inner surface of the ash. This may be one of the reasons that the Texas lignite-fired boilers show low mercury capture efficiency. There is also supporting evidence from two other factors concerning Se plugging under lignite-fired flue gas atmosphere. First, Se was identified on the surface of the carbon adsorbent of the Appendix K trap (EPA standard method on mercury measurement by carbon trap), as indicated in Fig. 3-2. The spot marked with a, b, and c on the surface of the carbon trap was accumulated with pure Se compounds. This may explain why the carbon trap loses its mercury capture capability in the flue gas atmosphere when Texas Lignite is burned. Second, SnCl2 is used as a commercial solid catalyst in the dry mercury CEM system to reduce the oxidized mercury for mercury measurement purposes. Se is also on the surface of this catalyst to quickly deactivate under use in the lignite atmosphere. Both solid samples (activated carbon and SnCl2) started to lose their adsorption capability or catalyst’s reactivity after having contacted with Texas lignite-fired flue gas for just a half day. According to material balance from field testing, around 60% of the total Se in coal occurs in the gas phase when burning blended Texas lignite and PRB, while 90% of the total Se in coal occurs in the flue gas burning Texas lignite only. The majority of coal Se is released in the flue gas during combustion, followed by its condensation on particles, such as fly ash, adsorbent and catalyst, under a typical temperature of FF in the downstream of boilers which are burning Texas lignite. Lignite also is produced in the North Dakota (ND) area in the United States. A serious deactivation was observed when SCR catalysts were used when burning ND lignite-fired boilers [4]. Author's personal copy Y. Cao et al. / Fuel 87 (2008) 3322–3330 3327 Fig. 3-1. SEM pictures of fly ash from Texas Lignite-fired and Sub-bituminous fired PC boilers. Fig. 3-2. Selenium species on Appendix K trap’s carbon and catalyst from Texas Lignite-fired PC boilers. Fig. 4. SEM pictures of fly ash from bituminous or sub-bituminous coal-fired PC unit. The detailed study indicated that the activity loss of SCR catalysts might be attributed to the pores of the SCR catalyst being plugged by alkali oxides (Na and K) with a lower melting point [5,15,17]. A high concentration of Na and K particles attaches to the surface of the SCR catalyst, filling its pores. Thus, Se for Texas lignite and Na and K for ND lignite may decrease the surface area of the fly ash. Together with lower LOI content in fly ash from lignite, a higher occurrence of Se or Na and K in lignite may be some of the major reasons for the lower mercury capture capability. The development of fly ash pore structure from PC boilers burning bituminous coals is presented in Fig. 4(a). Its surface was not as smooth as those from lower rank coals. Fly ash from PC boilers burning sub-bituminous coal shows a similar round shape, but a much smaller particle size. Its irregular particle surface and a less Author's personal copy 3328 Y. Cao et al. / Fuel 87 (2008) 3322–3330 Fig. 5. SEM pictures of fly ash from Bituminous coal-fired CFBC units. developed pore structure are presented in Fig. 4(b). In comparison, the shape of fly ash from CFBC units remains as it was originally in the coal. The irregular shape is due to the lower temperature in CFBC and thus less likely to melt, see Fig. 5. The round shape of fly ash, which was generally found in PC units, is not found in CFBC units. The pore structure is the same as that found in fly ash from PC units burning bituminous coals. However, CFBC boilers generate fly ash with a larger specific surface area and pore volume (see Fig. 2). The micro-phase structures of fly ash from CFBC units could be compared to that of the commercially available Hg sorbent (Darco LH), which is doped with the brominated species to enhance its Hg capture capacity, as presented in Fig. 6. The surface area of Darco LH (approximately 300 m2/gram) has a much higher surface area than that of fly ash from the CFBC system (15 m2/ gram). One still could expect good Hg capture performance of CFBC fly ash due to its higher content in the flue gas if the prevailing injection rate of commercial Hg adsorbent (Darco LH) in the flue gas is considered (a 20 times smaller concentration of Draco LH in the flue gas). 3.3. The correlation of SDA or SNCR with mercury emission rates in CFBC The addition of limestone and staged combustion technologies to CFB boilers could largely control the emissions of SO2 and NOx. The pursuit of even lower NOx and SO2 emissions under the Clean Air Act could be achieved by the application of SNCR with the injection of ammonia (NH3) to reduce NOx to N2. The use of an SDA with the injection of wet limestone or recirculation of hydrated fly ash also could further reduce the emission of SOx. The use of SNCR technologies may also result in few ppm (below 5 ppm required by US EPA) of NH3 slipping into the flue gas of a CFBC, where the NH3 will be adsorbed on the fly ash. A concern is raised regarding the adsorbed NH3 occupying the pore structure of fly ash. This condition may prevent Hg adsorption on the fly ash. In the SDA system, additional wet limestone or fly ash is injected into the duct, which may benefit enhanced Hg capture. This is due to the increased content of solid particles in the flue gas. Two detailed investigations were conducted by the WKU ICSET team in two selected CFBC units, which demonstrated the effects of SNCR or SDA on the variation of mercury emission rates. The data are presented in Figs. 7 and 8. In Fig. 7 the mercury emission rate from CFBC unit#1 varied slightly. The mercury emission rate was approximately 1.5 103 (lg/NM3/(lg/g Btu/lb)) on average in the first 3 days during the stable injection of NH3 in the SNCR system. When the NH3 injection rate decreased, the mercury emission rate decreased to approximately 4.0 104 (lg/NM3/(lg/g Btu/lb)) on the fourth day. However, it remained at approximately 4.0 104 (lg/NM3/ (lg/g Btu/lb)) when NH3 injection returned to a higher level. This may imply that the NH3 injection does not have any significant correlation between mercury emission rates of a CFBC with equipped SNCR. Results of mercury emission rates were confirmed by three methods: SCEM, ASTM OHM and EPA Appendix K. The injection of NH3 in SNCR in No. 2 CFBC without an SDA unit did not have any significant effect on the variation of mercury emission rates, see Fig. 8. The average mercury emission rates were approximately 1.0 104 (lg/NM3/(lg/g Btu/lb)). The comparison of mercury emission rates at both units indicated that there was no evidence to show that the use of an SDA on mercury emission rates. Results were confirmed by both the SCEM and OHM in the stack. 4. Conclusion Fig. 6. SEM pictures of Hg Sorbent (Darco-LH). Based on best available data collected from the EPA ICR program and WKU ICSET’s mercury testing program, a statistical stepwise regression procedure was used to determine significant factors on mercury emissions during coal combustion. Investigations on the dependence of mercury emissions on coal ranks and electric utility boilers equipped with fabric filter baghouses (FF) indicate: Author's personal copy 3329 Y. Cao et al. / Fuel 87 (2008) 3322–3330 0.0025 180 SCEM Hg(VT) SCEM Hg(0) OHM-Hg(VT) OHM-Hg(0) Appendix K NH3 0.002 140 120 0.0015 100 80 0.001 60 40 0.0005 20 0 11-27 11-28 11-29 11-30 12-1 12-2 0 12-4 12-3 Date 0.0014 SCEM-Hg(0) SCEM-Hg(VT) OHM-Hg(0) OHM-Hg(VT) 3 mercury emission rate by Hg(0) or Hg(VT) at Stack, ( g/NM /( g/g Btu/lb)) Fig. 7. Mercury emission rate on stack of selected No. 1 CFBC unit. 0.0012 SNCR on (NH3 Injection) SNCR off 0.001 0.0008 0.0006 0.0004 0.0002 0 11-29 12-4 12-9 12-14 12-19 12-24 12-29 Date Fig. 8. Mercury emission rate on stack of selected No. 2 CFBC unit. 1-3 1-8 1-13 NH3 injection rate, lb/hr mercury emission rate by Hg(VT) or Hg(0), 3 ( g/NM /( g/g Btu/lb)) 160 Author's personal copy 3330 Y. Cao et al. / Fuel 87 (2008) 3322–3330 (1) Higher mercury emission rates were generally found in both CFB and PC units when lignite was burned. Higher mercury emission rates observed during lignite-fired boilers are likely due to lower specific area of fly ash, which results from lower LOI, as well as the pore blockage by elements of Selenium (Se) for Texas lignite; and Sodium (Na) and Potassium (K) for North Dakota lignite. (2) Lower mercury emission rates were generally found in both CFB equipped with FF and PC units equipped with FF when bituminous coal was burned. There was a statistically significant lower mercury emission in the CFBC equipped with FF than that in the PC units when sub-bituminous coal was burned. 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