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The economic impact of improved feedstocks properties as reported in this paper is difficult to assess without pilot plant experiments.
As mentioned earlier, the undesired feedstocks properties, present in differential of the same feedstock, can require increasing severity in process requirements (pretreatment and enzymatic hydrolysis).
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Table 11 Biomass feedstock properties and microwave-assisted pyrolysis Biomass feedstock property Remarks Particle size Smaller feedstock particle size generally improves the microwave-assisted pyrolysis process by increasing the heating rate as well as the maximal temperature [110].
Finally, an attempt to correlate parameters with feedstock properties was made.
The present study combines experimental measurement feedstock properties with models for estimating properties over a range of powder content.
Simulations were performed using measured and estimated AlN feedstock properties on the tensile-bar geometry used during injection molding experiments.
The biochar parameters most affected by feedstock properties were e.g., total organic carbon, fixed carbon, and mineral elements of biochar.
A recent study by our group presented a procedure to estimate feedstock properties and use them in mold-filling simulations.
To perform PIM simulations, measurements for feedstock properties such as physical, thermal, and rheological are required as input parameters.
The exponential equation also showed good prediction capability and good correlation between its parameters and feedstock properties.
Table 6 summarizes the industrial result from refinery, demonstrating a typical example including feedstock properties, engineering parameters, product distribution, and operation mode.
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