Difference between revisions of "Mammoth Silos"

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[[File:Mammoth Silos.jpg|thumb|200px|right|Mammoth Silos]]
 
'''Mammoth Silos''' are commonly used in calculating homogenization efficiency and modeling input properties. The homogenization theory of mammothsilos is investigated in order to establish the homogenization efficiency of mammothsilos. These silos, where homogenization is achieved by intersecting multiple layers during reclaiming of the silo, e.g., by inclining the screw conveyor, can be used for large-scale homogenization of both cohesive and free-flowing materials and are therefore an alternative for blending piles.
 
The presented homogenization model and the calculation of the homogenization efficiency in mammothsilos depend on two variables: the volume distribution and the input properties of the bulk material to be homogenized. The silo geometry and the chosen stacking and reclaiming method determine the first variable. The second variable, time series representing the input properties of a material flow, depends on the material to be homogenized. This paper focuses on modeling input properties and shows that higher order ARMA(p,q) models are required for describing these input properties, instead of the frequently assumed AR(1) models in literature. It does not concentrate on the comparison of predicted and simulated output variances.
 
Conducted simulations of the homogenization efficiency with both ARMA and AR(1) models are found to be very encouraging because the standard deviation of the output properties is reduced on average by a factor 5, i.e., the standard deviation of the output properties is reduced to 20% of the standard deviation of the input properties.
 
 
==Common Advantages==
*No pollution of the environment by dust or ground water percolation
*No moisture increase by rain, snow etc. and consequently no or only limited product degradation
*Considerably smaller space requirements than other storage systems
*Reclamation of very cohesive materials even after three months, no more limitation on storage periods
*Possibility for dynamic coal blending when reclaiming two (or more) silos simultaneously at a controlled rate
*High availability of equipment
*Low operating costs
*Low maintenance costs
*Significant savings on fuel costs
 
 
==Typical Features==
*The silo structure can be built as: a steel structure with a wooden innerwall and a standard outerwall cladding, slipformed concrete silo or as a steel tank
*Tracing and/or insulation of the outerwall
*Existing oil tanks can be converted into a silo by installing a system inside
*Drainage of the silo and by installing a vacuum unit additional dewatering can be achieved
*Complete remote control based on data bus systems

Revision as of 01:33, 21 September 2012


Mammoth Silos

Mammoth Silos are commonly used in calculating homogenization efficiency and modeling input properties. The homogenization theory of mammothsilos is investigated in order to establish the homogenization efficiency of mammothsilos. These silos, where homogenization is achieved by intersecting multiple layers during reclaiming of the silo, e.g., by inclining the screw conveyor, can be used for large-scale homogenization of both cohesive and free-flowing materials and are therefore an alternative for blending piles.

The presented homogenization model and the calculation of the homogenization efficiency in mammothsilos depend on two variables: the volume distribution and the input properties of the bulk material to be homogenized. The silo geometry and the chosen stacking and reclaiming method determine the first variable. The second variable, time series representing the input properties of a material flow, depends on the material to be homogenized. This paper focuses on modeling input properties and shows that higher order ARMA(p,q) models are required for describing these input properties, instead of the frequently assumed AR(1) models in literature. It does not concentrate on the comparison of predicted and simulated output variances.

Conducted simulations of the homogenization efficiency with both ARMA and AR(1) models are found to be very encouraging because the standard deviation of the output properties is reduced on average by a factor 5, i.e., the standard deviation of the output properties is reduced to 20% of the standard deviation of the input properties.


Common Advantages

  • No pollution of the environment by dust or ground water percolation
  • No moisture increase by rain, snow etc. and consequently no or only limited product degradation
  • Considerably smaller space requirements than other storage systems
  • Reclamation of very cohesive materials even after three months, no more limitation on storage periods
  • Possibility for dynamic coal blending when reclaiming two (or more) silos simultaneously at a controlled rate
  • High availability of equipment
  • Low operating costs
  • Low maintenance costs
  • Significant savings on fuel costs


Typical Features

  • The silo structure can be built as: a steel structure with a wooden innerwall and a standard outerwall cladding, slipformed concrete silo or as a steel tank
  • Tracing and/or insulation of the outerwall
  • Existing oil tanks can be converted into a silo by installing a system inside
  • Drainage of the silo and by installing a vacuum unit additional dewatering can be achieved
  • Complete remote control based on data bus systems