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Publication Date:
October 2008
ISSN:
1934-2659
DOI:
10.2202/1934-2659.1276

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Ed. by Sotudeh-Gharebagh, Rhamat / Mostoufi, Navid / Chaouki, Jamal

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Prediction of Double Retrograde Vaporization by Hybrid Global-Local Optimization Using Fuzzy Clustering Means

Nelio Henderson / Wagner Figueiredo Sacco

1Universidade do Estado do Rio de Janeiro

1Universidade do Estado do Rio de Janeiro

Citation Information: Chemical Product and Process Modeling. Volume 3, Issue 1, Pages –, ISSN (Online) 1934-2659, DOI: 10.2202/1934-2659.1276, October 2008

Publication History:
Published Online:
2008-10-24

Retrograde vaporization calculation is a hard problem, which possesses several solutions and demands a robust algorithm. In the present work, we solved the double retrograde vaporization problem by hybrid global-local optimization. In fact, we propose a new methodology that involves fuzzy clustering means together with Luus-Jaakola and Nelder-Mead algorithms. We applied the proposed methodology to solve the double retrograde vaporization problem for binary systems of methane + n-butane. For this mixture, the dew point curve exhibits an S-shape at temperatures slightly below the critical temperature of the more volatile component. This binary mixture was modeled using the original Peng-Robinson equation of state and the classical one-fluid van der Waals mixing rule.

Keywords: double retrograde vaporization; global optimization; clustering methods

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