Methodology for the optimal design of an integrated sugarcane distillery and cogeneration process for ethanol and power production

Abstract : The application of systematic methodologies for the optimal design of integrated processes has seen increased interest in literature, namely for bioprocesses. The development and application of such a methodology to ethanol and power production from sugarcane and leaves, in a combined distillery and cogeneration plant is investigated in this article. The methodology breaks down as follows: process simulation, heat integration and thermo-economic evaluation, bi-objective multi-variable evolutionary optimization, and process selection. The objective functions are exergy efficiency and capital cost, whereas the selection criterion is the maximization of the Net Present Value (NPV). This choice was motivated by the variation in process related market parameters and their impact on profitability. Optimization generated 31 optimal trade-off solutions with better results than literature. Exergy efficiency ranged between 37.6% and 41.7% and capital costs between 155 M$ and 210 M$. Process selection led to a single configuration maximizing NPV for four economic scenarios. The configuration's exergy efficiency and capital costs were equal to 40.63% and 163 M$. This point presented an optimal compromise between heat integration and capital costs. This article provides a breakthrough in the application of this methodology, to the investigated process specifically.
Type de document :
Article dans une revue
Energy, Elsevier, 2016, 117, pp.540 - 549. 〈10.1016/j.energy.2016.07.018〉
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https://hal-ifp.archives-ouvertes.fr/hal-01564954
Contributeur : Françoise Bertrand <>
Soumis le : mercredi 19 juillet 2017 - 11:55:06
Dernière modification le : lundi 2 octobre 2017 - 16:06:04

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Rami Bechara, Adrien Gomez, Valérie Saint-Antonin, Jean-Marc Schweitzer, François Maréchal. Methodology for the optimal design of an integrated sugarcane distillery and cogeneration process for ethanol and power production. Energy, Elsevier, 2016, 117, pp.540 - 549. 〈10.1016/j.energy.2016.07.018〉. 〈hal-01564954〉

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