| Abstract: | Variation in polychlorinated dibenzo-p-dioxin and polychlorinated dibenzofuran (PCDD and PCDF) homologue profiles from a pilot scale (0.6 MWt, 2×106 Btu/h), co-fired-fuel densified refuse derived fuel (dRDF) and high-sulfur Illinois coal] combustion system was used to provide insights into effects of combustion parameters on PCDD and PCDF pollutant formation. A 24-run, statistically designed test matrix varied dRDF and/or coal firing rates (at a constant targeted energy release rate) along with a range of process variables including calcium hydroxide injection, hydrogen chloride (HCl) concentration, flue gas temperature, quench, and residence time such that the results would be relatable to a wide variety of combustion conditions. Statistical analysis of the molar homologue profiles enabled interpretation based on non-confounding variables. A multivariate, generalized additive model, based on transformations of the design variables, described 83% of the variation of the profiles characterized by log ratios of the homologue molar concentrations. This method identifies the operating parameters that are most significant in determining the PCDD/F homologue profiles. The model can be exercised to predict homologue profiles through input of these system-specific operating parameters. For example, both higher HCl and sulfur dioxide concentrations favor higher relative formation of the lower chlorinated PCDF homologues. |
