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Mass flow and particle size monitoring of pulverised fuel vertical spindle mills

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The first step towards condition based maintenance of the milling plant is the implementation of on- line condition monitoring of the mill. The following paper pr esents and analyses methods of monitoring the key performance factors of a vertical spindle mill that is suited for implementation on older power stations, i.e. the quantity (mass flow rate) and quality (particle fineness) of the pulverised fuel produced by the mill. It is shown herein that the mill throughput can be monitored on-line using a simple mill energy balance that successfully predicts the coal the roughput within 2.33% as compared to a calibrated coal feeder. A sensitivity analysis reveals that the coal moisture is a critical measurement for this method to be adopted as an on-line mass flow monitoring tool. A laser based particle size analyser tool was tested for use in the power plant environment as an on-line monitoring solution to measure pulverised fuel fineness. It was revealed that several factors around the set-up and operation of the instrument have an influence on the perceived results. Although the instrument showed good precision and repeatability of results, these factors must be taken into account in order to improve the accuracy of the reported results before the instrument can be commissioned as an on-line monitoring solution.
Słowa kluczowe
Rocznik
Strony
175--197
Opis fizyczny
Bibliogr. 20 poz., rys.
Twórcy
autor
  • Eskom Holdings SOC Ltd., South Africa
autor
  • University of the Witw atersrand, South Africa
autor
  • University of Cape Town, South Africa
Bibliografia
  • 1. Aizu Y., Asakura T., 1987. Principles and development of spatial filtering velocimetry. Appl. Phys. B: Photophysics Laser Chem., B43, 4, 209-224.
  • 2. Dodds J., Rasteiro G., Scarlett B., Weichert R., Williams R., 2004. From particle size analysis (PSA 1970) to particulate systems analysis (PSA 2003). Chem. Eng. Res. Des., 82, 1533-1540. DOI: 10.1205/cerd.82.12.1533.58040.
  • 3. Eskom n.d., Company information overview. Available at: www.eskom.co.za/OurCompany/CompanyInformation/Pages/Company_Information.aspx
  • 4. FPM S.A. n.d., Ball-ring mills. Available at: http://www.fpmsa.com/portal/pub/view/0x4764b?lang=en
  • 5. Fan G.Q., Rees N.W., 1997. An intelligent expert system (KBOSS) for power plant coal mill supervision and control. Control Eng. Pract., 5, 101-108. DOI: 10.1016/S0967-0661(96)00213-4.
  • 6. Hayden K.S., Park K., Curtis J.S., 2003. Effect of particle characteristics on particle pickup velocity. Powder Technol., 131, 7-14. DOI: 10.1016/S0032-5910(02)00135-3.
  • 7. Incropera F.P., Dewitt D.P., Bergman T.L., Lavine A.S., 2007. Fundamentals of heat and mass transfer. 6th Ed. John Wiley & Sons.
  • 8. JCGM 200:2012. International vocabulary of metrology – Basic and general concepts and associated terms (VIM). 3rd edition, JCGM. Available at: www.bipm.org/utils/common/documents/jcgm/JCGM_200_2012.pdf.
  • 9. Kitto, J.B., Stultz, S.C., 2005. Steam: It’s generation and use, 41 st edition. The Babcock & Wilcox Company.
  • 10. Langston P.A., Burbidge A.S., Jones T.F., Simmons M.J.H. 2001. Particle and droplet size analysis from chord measurements using Bayes’ theorem. Powder Technol., 116, 33-42. DOI: 10.1016/S0032-5910(00)00359-4. [Crossref]
  • 11. Makokha A.B., Moys M.H., Couvas C., Muumbo A.M., 2009. Steady state inferential modeling of temperature and pressure in an air-swept coal pulverizing ball mill. Powder Technol., 192, 260-267. DOI: 10.1016/S0032-5910(00)00359-4.
  • 12. Niemczyk P., Bendtsen D.J., Ravn P.A., Andersen P., Pedersen S.T., 2012. Derivation and validation of a coal mill model for control. Control Eng. Pract., 20, 519-530. DOI: 10.1016/j.conengprac.2012.01.006.
  • 13. Odgaard P.F., Mataji B., 2007. Fault detection in coal mills used in power plants, In: Westwick D. (Ed.), Power Plants and Power Systems Control 2006. Elsevier Science Ltd, Oxford, 177-182.
  • 14. Parsum, 2011. In line particle probe operating manual/Hardware Manual.
  • 15. Petrak D., 2002. Simultaneous measurement of particle size and particle velocity by the spatial filtering technique. Part. Part. Syst. Char., 19, 391-400. DOI: 10.1002/ppsc.200290002.
  • 16. Rees N.W., Fan G.Q., 2003. Thermal power plant simulation and control, In: Flynn D. (Ed.), Thermal power plant simulation and control: Chapter 3. Modelling and control of pulverized fuel coal mills. Institution of Electrical Engineers, 63-99.
  • 17. Sonntag R., Borgnakke C., Wylen G.J., 1998. Fundamentals of classical thermodynamics. 5th ed. John Wiley & Sons.
  • 18. Wei J.L., Wang J., Wu Q.U., 2007. Development of a multisegmented coal mill model using an evolutionary computation technique. IEEE Trans. Energy Convers., 22, 718-727. DOI: 10.1109/TEC.2007.895459.
  • 19. Jerez S.B., Zhang Y., McClure J.W., Jacobson L., Heber A., Hoff S., Koziel J., Beasley D., 2006. Comparison of measured total suspended particulate matter concentrations using tapered element oscillating microbalance and a total suspended particulate sampler. J. Air Waste Manage. Assoc., 56, 261-270. DOI: 10.1080/10473289.2006.10464460.
  • 20. JCGM 100:2008, 2008. Evaluation of measurement data - Guide to the expression of uncertainty in measurement. 1st ed. Available at: www.iso.org/sites/JCGM/GUM/JCGM100/C045315e-html/C045315e.html.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-51fafa6c-224e-4a7c-b693-b0a0089a19ae
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