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

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  • Bechara, Rami
  • Gomez, Adrien
  • Saint-Antonin, Valérie
  • Schweitzer, Jean-Marc
  • Maréchal, François

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.

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  • Bechara, Rami & Gomez, Adrien & Saint-Antonin, Valérie & Schweitzer, Jean-Marc & Maréchal, François, 2016. "Methodology for the optimal design of an integrated sugarcane distillery and cogeneration process for ethanol and power production," Energy, Elsevier, vol. 117(P2), pages 540-549.
    • Handle: RePEc:eee:energy:v:117:y:2016:i:p2:p:540-549
    DOI: 10.1016/j.energy.2016.07.018
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    2. Manuel Raul Pelaez-Samaniego & Juan L. Espinoza & José Jara-Alvear & Pablo Arias-Reyes & Fernando Maldonado-Arias & Patricia Recalde-Galindo & Pablo Rosero & Tsai Garcia-Perez, 2020. "Potential and Impacts of Cogeneration in Tropical Climate Countries: Ecuador as a Case Study," Energies, MDPI, vol. 13(20), pages 1-26, October.
    3. Bargos, Fabiano Fernandes & Lamas, Wendell de Queiróz & Bilato, Gabriel Adam, 2018. "Computational tools and operational research for optimal design of co-generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 507-516.
    4. Bechara, Rami & Gomez, Adrien & Saint-Antonin, Valérie & Schweitzer, Jean-Marc & Maréchal, François, 2016. "Methodology for the design and comparison of optimal production configurations of first and first and second generation ethanol with power," Applied Energy, Elsevier, vol. 184(C), pages 247-265.
    5. João Paulo Guerra & Fernando Henrique Cardoso & Alex Nogueira & Luiz Kulay, 2018. "Thermodynamic and Environmental Analysis of Scaling up Cogeneration Units Driven by Sugarcane Biomass to Enhance Power Exports," Energies, MDPI, vol. 11(1), pages 1-23, January.

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