Aplicação de algoritmo genetico ao dimensionamento de sistemas de cogeração industrial no Brasil : o caso de uma refinaria de petroleo

AUTOR(ES)

Roberto Alves de Almeida

DATA DE PUBLICAÇÃO

1998

RESUMO

This thesis discusses the current scenario of the petroleum industry, as well as, the electric energy self-producer in terms of its legal evolution, particularly of the industrial cogenerator. This work also develops a industrial cogeneration planning system model by combining genetic algorithm and dynamic programming. Such a planning model has a pre-dimensioning method and an operational simulation method. These two methods use genetic algorithm as an optimisation tool. The temporary steps of the cogeneration system implementation is determined through dynamic programming for a pre-defined planning horizon. Yet, the proposed model utilises the thermoeconomic analysis to calculate the costs of the plant cogeneration products, important factor in the alternative investment analysis. The application of the model is demonstrated by means a case study in a cogeneration system of a Brazilian petroleum plant. The proposed model and the outputs of the case study are critically analysed at the end of the thesis, which supplies a number of future related studies

ASSUNTO(S)

algoritmos geneticos petroleo - refinação energia eletrica e calor - cogeração

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