Quantification of Deposit Formation Rates as Functions of Operating Conditions and Fraction of Biomass Fuel Used in a Converted PC Boiler (100 MW)

  • Anders Nordin
  • Bengt-Johan Skrifvars

Abstract

Statistically designed experiments were carried out to study the potential effects of operating parameters on the extent of slagging, fouling and sulphur retention in a 100 MW PC boiler burning a combination of wood powder and oil. The influence of primary air, burner air distribution (secondary/tertiary air), secondary air (upper and lower burners), over fire air (east, west and rear), flue gas recirculation, fuel distribution. load and fraction of biomass fuel used were evaluated using first a screening design and then a face-centred composite design (CCF). Polynomial models were deducted from statistical analysis of the experiments. The general results from the study are that wood powder in combination with oil can be used in a safe way with relatively small amounts of deposits formed. The dominating influential factor was the fraction of biomass fuel used, where an increase resulted in somewhat higher sulphur retention but a slightly greater fouling. However. chemical analysis of samples collected during the tests did not indicate any severe corrosion tendencies and the fuel combination has been successfully used for more than two years now, without any ash related operational problems.

Keywords

Biomass Fuel Wood Powder Statistical Experimental Design Nitrogen Oxide Emission Sulphur Retention 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Box. G. E. P. Hunter, W. G. and Hunter. J. S. Statistics for experimenters; An introduction to design, data analysis and model building. Wiley, NY, 1978Google Scholar
  2. Dunn. III, W. J., Wold, S., Edlund, U., Hellberg, S. and Gasteiger. J. (1984). “Multivariate structure-activity relationships between data from a battery of biological tests and ensemble of structure descriptors: The PLS method.”, Quant. Struct.-Act. Relat., 3, 131–137.CrossRefGoogle Scholar
  3. Hupa. M. (1980). “ En undersökning av rökgassidans beläggningar i ângpannor.” Thesis, Abo Akademi University.Google Scholar
  4. Hupa. NI. (1989) “Predicting slagging and fouling tendency.” Symposium on Low-Grade Fuels, Helsinki, June 12–16.Google Scholar
  5. Morris. M. D. and Mitchell, T. J. (1983). “Two-level multifactor designs for detectingGoogle Scholar
  6. the presence of interactions.“ Tecluiometrics, 25. 345–355 and ref. herein.Google Scholar
  7. Nordin. A. (1993). “On the chemistry of combustion and gasification of biomass fuels. peat and waste - environmental aspects.” Thesis. Dept. of Inorganic Chemistry. Umeä UniversityGoogle Scholar
  8. Nordin. A., Óhman, M. and Eriksson, L. (1995a). “NO reduction in a fluidized bed combustor with primary measures and selective non-catalytic reduction; A screening study using statistical experimental designs.” FUEL, 74, 128–135.CrossRefGoogle Scholar
  9. Nordin, A. (1995b). “Optimization of sulphur retention in ash when cocombusting high sulphur fuels and biomass fuels in a small pilot scale fluidized bed.” FUEL, 74, 615–622.CrossRefGoogle Scholar
  10. Wold. S. (1987). “Principal component analysis.”, Chemometrics and Intelligent Laboratory Systems, 2, 37–52CrossRefGoogle Scholar
  11. Wold. S.. Albano, C.. Duan, III, W. J., Espensen, K., Hellberg, S., Johansson. E. and Sjöström, M. (1983). “Pattern recognition: Finding and using regularities in multivariate data.” In: Martens. H. and Russwurm, H. (Eds.), Food research and data analysis, Applied Science Publishers, London 147–188Google Scholar
  12. Österlund, U. and Andersson. K. (1995). Internal report. Stockholm Energi. SEU 210.Google Scholar

Copyright information

© Springer Science+Business Media New York 1996

Authors and Affiliations

  • Anders Nordin
    • 1
  • Bengt-Johan Skrifvars
    • 2
  1. 1.Energy Technology Centre in Piteå Department of Inorganic ChemistryUniversity of UmeåSweden
  2. 2.Department of Chemical EngineeringÅbo Akademi UniversityTurkuFinland

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