Hurricane & ReCyclone Systems for Biomass and Coal Boilers - Brochure

Cyclones have been mostly designed and improved by empirical means. Computerized Flow Dynamics (CFD) can be used for partial cyclone optimization but it is still incomplete for full cyclone optimization. The fact that particle agglomeration for cyclone modelling has been disregarded until present days is one of the reasons for notably low collection efficiency results. This knowledge has helped ACS build very accurate models of efficiency prediction, capable of explaining why sub-micrometer particles are often captured with much higher efficiency than expected. Particles tend to form bigger agglomerates (clusters) much easier to collect than the original particles. Agglomeration increases in the presence of wide particle size distributions, long residence times in the cyclone and high inlet particle concentrations. This has been incorporated in ACS numerical simulation tool, combining a sophisticated stochastic algorithm with a classical numerical model to predict cyclone performance: the PACyc (Particle Agglomeration in Cyclones) model.