Scientific Computing in Chemical Engineering II 1999
DOI: 10.1007/978-3-642-60185-9_32
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PE — a Scientific Computer Program for the Calculation of Fluid-Phase Equilibria

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Cited by 24 publications
(26 citation statements)
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“…The solubilities are widely and successfully modeled using equations of state and semiempirical equations. The parameters of the equations of state were determined using the PE program (Pfohl et al). These parameters and the average relative deviation (ARD) are shown in Table , and they are similar to those available in the literature for the Peng−Robinson EOS (Peng and Robinson 12 ) (Iwai et al , ).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The solubilities are widely and successfully modeled using equations of state and semiempirical equations. The parameters of the equations of state were determined using the PE program (Pfohl et al). These parameters and the average relative deviation (ARD) are shown in Table , and they are similar to those available in the literature for the Peng−Robinson EOS (Peng and Robinson 12 ) (Iwai et al , ).…”
Section: Resultsmentioning
confidence: 99%
“…The Peng−Robinson EOS generalized parameters (Peng and Robinson 12 ) were obtained for each system, linalool + CO 2 and limonene + CO 2 , using the literature information, our experimental data, and the PE program (Pfohl et al) and taking the parameters as independent of temperature. These parameters are shown in Table .…”
Section: Resultsmentioning
confidence: 99%
“…Para escolha do melhor método para o cálculo de T c , P c e  dados experimentais de pressão de saturação (P vp ) e densidade de líquidos ( liq ) foram regredidos para a equação de Peng e Robinson -PR-EOS utilizando por função objetivo a média do DMR destas duas variáveis no software PE 2000 (Pfohl et al, 2000). Os parâmetros regredidos foram comparados com os estimados pelos métodos e contribuição de grupo e correlações listados na Tabela 1.…”
Section: Metodologiaunclassified
“…It should be noted that this theoretical result is not always supported by empirical evidence. In some multicomponent mixtures a better fit is obtained by adjusting the binary interaction parameters from the values estimated from binary mixture data, e.g., Pfohl et al (2000). The limitations of existing parameter estimation methods described here apply to both binary and multicomponent mixtures.…”
Section: Introductionmentioning
confidence: 98%