multivariate production systems optimization - Stanford University
multivariate production systems optimization - Stanford University
multivariate production systems optimization - Stanford University
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Zi = Xi L + Yi V (5.3)<br />
where V and L are the vapor and liquid mole fractions and L = 1 - V. Using the relation Yi<br />
= Ki / Xi and solving for Xi yields<br />
Xi =<br />
Zi<br />
L + 1 - L Ki<br />
and letting Xi = Yi / Ki and solving for Yi yields<br />
Noting the constraint of<br />
Yi =<br />
we must find a solution to the equation<br />
F L =<br />
∑ i<br />
∑ i<br />
Ki Zi<br />
L + 1 - L Ki<br />
Xi - ∑ Yi = 0<br />
i<br />
Zi 1 - Ki<br />
= 0<br />
Ki + 1 - Ki L<br />
This equation can be efficiently solved with Newton-Raphson iteration where<br />
and convergence is achieved when both<br />
1)<br />
2)<br />
L k+1 = L k - F L k<br />
∂F<br />
∂L L k<br />
abs L k+1 - L k < ε<br />
F L k+1 < ε<br />
54<br />
(5.4)<br />
(5.5)<br />
(5.6)<br />
(5.7)<br />
(5.8)<br />
where ε is a small tolerance. In this study, ε was set equal to 10-10 . Once L is determined,<br />
the compositions of the liquid and vapor phases are obtained from Equations 5.4 and 5.5.<br />
The number of phases present is determined by considering Equation 5.7. At the<br />
dew point, where L = 0, Equation 5.7 yields