Evaluating Pressure Swing Adsorption as a CO2 separation technique in coal-fired

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Evaluating Pressure Swing Adsorption as a CO2 separation technique in coal-fired ( evaluating-pressure-swing-adsorption-as-co2-separation-techn )

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Component mass balance: Ci1usCiD Cyi1qi tp  zzax,iizp  t (1) (2) LDF model: Overall mass balance: Energy balance: qi k  t L D F , i q*q withk i i L D F , i  Dc,i uC  C tpzp t tot  1 s tot  1 NCq  i (3) L D F r c2  Cp,GCtot p 1Cp,GCtot 1Cp,Sp 1p i T NC q  1Hi Momentum balance:  z z i (4) (5) ax p r,i t P150(1)2 u 1.75(1) u u  zd23 sd3Gss pp  The transport parameters are evaluated through frequently used correlations (see Table 10 in Appendix A). Averaged values were successively used for the simulations. Physical properties of the gas were evaluated in all the points of the bed through an external physical property package (i.e., Multiflash – Infochem Computer Services Ltd) interfaced with the main simulation tool. The adsorbent selected for the post-combustion scenario is a zeolite 5A [44]. Zeolites are well studied CO2 adsorbents, which proved to perform well in the conditions typical of post-combustion applications (i.e., very low CO2 partial pressure) [45-47]. Even though zeolites 13X are normally regarded as the most effective zeolites for CO2 adsorption processes, a zeolite 5A was considered. This choice was driven by the availability of data and comparative results [16]. Bearing in mind that the simulation outputs would possibly be slightly superior with a zeolite 13X, it is opinion of the authors that the key outcomes presented afterwards are still valid. The same considerations can be applied discussing the possibility of utilizing two different adsorbents in the two PSA stages. Tailored adsorbents can suit better the specific operating conditions providing a performance enhancement but hardly significant. The uptake capacity of the adsorbent is described by an extended multi-site Langmuir model:  C q p,ads,i i  t  u C s p,G C tot z  i NC T T

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