Chemical and phase equilibria through deterministic global optimization

Detalhes bibliográficos
Ano de defesa: 2016
Autor(a) principal: Marcio Ribeiro Vianna Neto
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Minas Gerais
UFMG
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://hdl.handle.net/1843/BUOS-AUUK7L
Resumo: Chemical and phase equilibrium calculations are commonly performed by solving a constrained optimization problem known as Gibbs energy minimization. This problem is, in general, nonconvex, which implies that it is not a trivial task to solve for its global minimum, as many local minima may exist. The global minimum is the only solution that bears physical significance. Among the various techniques found in the literature that attempt to solve this problem, the algorithm with interval analysis seems particularly interesting due to its generality and to the fact that it mathematically guarantees global optimality. However, in order to apply itdirectly to the equilibrium problem, it is necessary to circumvent somehow the fact that in its original formulation, lower bounds for mole numbers that are too close to zero may cause numerical underflow, leading the algorithm to fail. An algorithm based on the original is presented and is used to evaluate 8 benchmark equilibrium problems extracted form the literature. The algorithm, despite no longer being able to mathematically guarantee global optimality, was capable of solving all problems correctly and with relative efficiency.