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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Process integration of a multiperiod sugarcane biorefinery

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Author(s):
Oliveira, Cassia M. [1] ; Pavao, Leandro V. [2] ; Ravagnani, Mauro A. S. S. [2] ; Cruz, Antonio J. G. [1] ; Costa, Caliane B. B. [2]
Total Authors: 5
Affiliation:
[1] Univ Fed Sao Carlos, Chem Engn Dept, Rodovia Washington Luis, Km 235, BR-13565905 Sao Carlos, SP - Brazil
[2] Univ Estadual Maringa, Chem Engn Dept, Av Colombo 5790, Bloco D-90, BR-87020900 Maringa, Parana - Brazil
Total Affiliations: 2
Document type: Journal article
Source: APPLIED ENERGY; v. 213, p. 520-539, MAR 1 2018.
Web of Science Citations: 11
Abstract

Process integration in sugarcane biorefineries allows reducing steam consumption. As a consequence, the bagasse surplus can be diverted to second generation ethanol production. Furthermore, sugarcane plants can vary the production of ethanol and electricity, depending on the demand. For those reasons, equipment present in the plant might be required to operate under different conditions. This study presents the energy integration of a sugarcane biorefinery. A Mixed Integer Nonlinear Programming (MINLP) optimization model is proposed to solve the problem of synthesizing a Heat Exchanger Network (HEN) able to periodically operate under the distinct conditions required in the biorefinery, i.e., a multiperiod HEN. For solving the MINLP problem, a hybrid metaheuristic approach was used, which combines Simulated Annealing and Rocket Fireworks Optimization. The proposed strategy achieved lower HEN total annualized cost (TAC) when compared with the project energy integration that is commonly found in Brazilian plants. This reduction in TAC, in particular in utilities demand, allows the surplus bagasse to be available for the most suitable application: produce 2G ethanol or more electricity. (AU)

FAPESP's process: 13/21343-3 - Energy integration of sugarcane biorefinery using simultaneous optimization
Grantee:Cássia Maria de Oliveira
Support Opportunities: Scholarships in Brazil - Doctorate