Image from:http://www.ehp.qld. gov.au/air/pollution/controlling.html Hot Ash Treatment: Preliminary Experimental Results and Thermodynamic Insights Cyril Jose E. Bajamundi [Presentor], Kirsi Korpijärvi, Martti Aho Pasi Vainikka, Jukka Konttinen FINNISH-SWEDISH FLAME DAYS 2013 Jyväskylän Paviljonki, Jyväskylä Finland 17th-18th April, 2013 4/8/2013 2 cyril.bajamundi@vtt.fi Background Waste and biomass co-firing has been in constant development to meet energy demand, independence and environmental requirements. Biomass : carbon neutral energy source Waste: alternative energy source/sanitary disposal Several issues in co-firing are still being resolved, one of which is… ASH DISPOSAL or UTILIZATION Huge material resource Country specific legislations Uses: Earth construction applications, forest fertilizers Challenges: Heavy metal content, variability in chemical and physical properties A cleaner ash is desirable. 4/8/2013 3 cyril.bajamundi@vtt.fi About this study Examine the concentration of seven elements (Zn, Cu, Ar, Ni, Pb, and Sb) as the cyclone temperature in a BFB test reactor is varied. Features of the reactor 20 kW BFB test reactor at VTT. With electric heaters for stabilization are in place. Natural sand with dp = 0.1-0.6 as bed material. = 0.5 cm/s sufficient to transport particles smaller than 100 m to the cylcone. gas Figure 1. Schematic diagram of the Bubbling Fluidized Bed setup at VTT and the temperature during the experimental runs. Temperature of the cyclone for different test runs. Test Run Cyclone Temp., [oC] 1 2 3 4 5 512 622 724 827 937 4 4/8/2013 cyril.bajamundi@vtt.fi About this study Fuel blend of RDF, bark, and chromated copper arsenate impregnated wood (CCA) at 28/70/2 mass portion was burnt. Mean fuel feeding rate was 51.6 g/min and combustion air feeding rate 11.16 mol/min (+ 1.24 mol/min N2 via the fuel feeding line) corresponding to an air/fuel ratio of 1.33. Ultimate analysis of the RDF-Bark-CCA wood mixture. Compone nt C H N O[calc] Si Al Fe Ti Ca Mg P Na K S Cl Unit m% d.s. mg/kg d.s. Conc. 52.5 6.2 0.4 37.9 5222 2512 633 503 12300 1023 450 560 2000 1400 2700 Compone nt Unit As mg/kg d.s. Cd Co Cr Cu Hg Mn Ni Pb Sb Tl V Zn H2O m%a.r. Calorific Value MJ/kg d.s. Conc. 32 0.3 0.7 50 56 0.07 380 2.2 45 13 0.1 1.3 190 28.1 20.21 Elemental analysis of the ash follows the SFS/EN 13656 standard. Thermodynamic modeling implemented in FactSage 6.3 at P= 1bar and with 319 ideal gas species and 421 pure solid species. In addition salt (FTSalt) and oxide (FTOxide) solid solution species were also included. 4/8/2013 5 cyril.bajamundi@vtt.fi Experimental Results Elements can be classified into two categories based on their dependency with the cyclone temperature. Class I (elements showing clear dependency with Tcyclone) 1000 Cr Cu Zn 3000 2800 Concentration [mg/ kgdry solid] Concentration [mg/ kgdry solid] 3200 2600 2400 2200 2000 1800 900 Ni Sb As Pb 800 700 Chromium Antimony Lead 600 500 Class II (elements without clear dependency with Tcyclone) 400 300 1600 500 600 700 800 o Temperature [ C] 900 1000 Copper Zinc 200 500 600 700 800 900 o Temperature [ C] 1000 Arsenic Nickel Trace element concentration profile for the cyclone fly ashes collected. Class 1 , in general, exhibited increasing concentration with Tcyclone, with Pb showing some special behavior. 4/8/2013 6 cyril.bajamundi@vtt.fi Thermodynamic Insights Volatilization of elements according to thermodynamic equilibrium calculations. 1 Fraction in Gas [molGas/molIn] 1 Cr Cu Zn Ni Sb As Pb 0 0 500 600 700 800 900 1000 1100 Temperature [oC] 500 600 700 800 900 1000 1100 Temperature [oC] Fraction of elements (thermodynamically) expected to be in the gas phase at different temperature settings. Thermodynamic equilibrium expects Pb to be in the vapor phase at the studied temperature range, however it was found in the cyclone fly ash. • Limitation of thermodynamic model. Results for Cu and Cr suggests decreasing concentration vs. temperature due to volatilization. • In contrast with the experimentally measured. 7 4/8/2013 cyril.bajamundi@vtt.fi Thermodynamic Insights Key speciation of Class 1 vs Class 2 elements. 1E-3 0.0030 Pb(g) PbO(g) PbCl(g) PbCl2(g) 0.0025 As Species [mol] Arsenic • Has remained solid within the temperature range under consideration. • AlAsO4(s) and K3AsO4(s) were formed. 0.0035 1E-4 Pb Species [mol] Lead • Shift from PbCl2 as the dominant gas species to PbO as the temperature increases. 0.01 1E-5 1E-6 1E-7 0.0020 AsCl3(g) AlAsO4(s) K3AsO4(s) 0.0015 0.0010 0.0005 1E-8 0.0000 1E-9 500 600 700 800 900 1000 Temperaure [oC] 500 600 700 800 Temperaure [oC] Speciation of Pb (an element classified as C1) and As (an element classified as C2). 900 1000 8 4/8/2013 cyril.bajamundi@vtt.fi Thermodynamic Insights A look at the minor ash forming elements. 0.0044 2.0 O 1.0 Element Al Si 0.0042 K Cl 0.5 P S Cl K 0.0040 Cond 0.0 Ca 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 Coeff. of Variation K and Cl are elements having the largest variation at the temperature range under consideration. K Cl 1.5 Concentration [wt% ] Mg Fraction Condensed Fraction in Gas [molGas/molIn] Na 1.0 0.5 0.0038 0.0 400 500 600 700 800 900 1000 Temperature [oC] K and Cl volatilize and significantly affect the amount of condensed formed. 500 600 700 800 900 1000 Temperature [oC] Volatilization of K and Cl is supported by XRF measurements of the ash samples. 4/8/2013 9 cyril.bajamundi@vtt.fi In summary Thermodynamic models suggest that the trend in the concentrations of elements under class C1 can be explained by either or combination of the following reasons Inability of the trace elements to vaporize. kinetic and transport restriction elements originally present as chlorides have probably lost Cl, which strongly weakened their volatilization as function of temperature leading to apparent increase in concentration Loss of major ash forming elements due to volatilization. Cl and K exists favorably in gaseous state as the temperature is increased. As for the elements in class C2, they remain in the solid phase thus their concentration did not vary significantly. 4/8/2013 10 cyril.bajamundi@vtt.fi Acknowledgements We are thankful to VTT, and OSER project, Metso Power, Foster Wheeler, and the European Regional Development Fund for the resources shared to this study. Raili Taipale and Esa Kallio are acknowledged for providing key experimental data and information on the test parameters. Thank you. I am now ready for your questions. Cyril Jose E. Bajamundi Research Scientist cyril.bajamundi@vtt.fi +358 40 512 2673 4/8/2013 11 cyril.bajamundi@vtt.fi VTT creates business from technology