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Title: Fuzzy-decision-making problems of fuel ethanol production using a genetically engineered yeast

Abstract

A fuzzy-decision-making procedure is applied to find the optimal feed policy of a fed-batch fermentation process for fuel ethanol production using a genetically engineered Saccharomyces yeast 1400 (pLNH33). The policy consisted of feed flow rate, feed concentration, and fermentation time. The recombinant yeast 1400 (pLNH33) can utilize glucose and xylose simultaneously to produce ethanol. However, the parent yeast utilizes glucose only. A partially selective model is used to describe the kinetic behavior of the process. In this study, this partially selective fermentation process is formulated as a general multiple-objective optimal control problem. By using an assigned membership function for each of the objectives, the general multiple-objective optimization problem can be converted into a maximizing decision problem. In order to obtain a global solution, a hybrid method of differential evolution is introduced to solve the maximizing decision problem. A simple guideline is introduced in the interactive programming procedures to find a satisfactory solution to the general multiple-objective optimization problem.

Authors:
;  [1];  [2]
  1. National Chung Cheng Univ., Chia-Yi (Taiwan, Province of China). Dept. of Chemical Engineering
  2. Purdue Univ., West Lafayette, IN (United States). Lab. of Renewable Resource Engineering
Publication Date:
OSTI Identifier:
659063
Resource Type:
Journal Article
Journal Name:
Industrial and Engineering Chemistry Research
Additional Journal Information:
Journal Volume: 37; Journal Issue: 8; Other Information: PBD: Aug 1998
Country of Publication:
United States
Language:
English
Subject:
09 BIOMASS FUELS; ETHANOL; BIOSYNTHESIS; SACCHAROMYCES; GENETIC ENGINEERING; FUZZY LOGIC; DECISION MAKING; PROCESS CONTROL; BIOREACTORS; GLUCOSE; XYLOSE

Citation Formats

Wang, F S, Jing, C H, and Tsao, G T. Fuzzy-decision-making problems of fuel ethanol production using a genetically engineered yeast. United States: N. p., 1998. Web. doi:10.1021/ie970736d.
Wang, F S, Jing, C H, & Tsao, G T. Fuzzy-decision-making problems of fuel ethanol production using a genetically engineered yeast. United States. https://doi.org/10.1021/ie970736d
Wang, F S, Jing, C H, and Tsao, G T. 1998. "Fuzzy-decision-making problems of fuel ethanol production using a genetically engineered yeast". United States. https://doi.org/10.1021/ie970736d.
@article{osti_659063,
title = {Fuzzy-decision-making problems of fuel ethanol production using a genetically engineered yeast},
author = {Wang, F S and Jing, C H and Tsao, G T},
abstractNote = {A fuzzy-decision-making procedure is applied to find the optimal feed policy of a fed-batch fermentation process for fuel ethanol production using a genetically engineered Saccharomyces yeast 1400 (pLNH33). The policy consisted of feed flow rate, feed concentration, and fermentation time. The recombinant yeast 1400 (pLNH33) can utilize glucose and xylose simultaneously to produce ethanol. However, the parent yeast utilizes glucose only. A partially selective model is used to describe the kinetic behavior of the process. In this study, this partially selective fermentation process is formulated as a general multiple-objective optimal control problem. By using an assigned membership function for each of the objectives, the general multiple-objective optimization problem can be converted into a maximizing decision problem. In order to obtain a global solution, a hybrid method of differential evolution is introduced to solve the maximizing decision problem. A simple guideline is introduced in the interactive programming procedures to find a satisfactory solution to the general multiple-objective optimization problem.},
doi = {10.1021/ie970736d},
url = {https://www.osti.gov/biblio/659063}, journal = {Industrial and Engineering Chemistry Research},
number = 8,
volume = 37,
place = {United States},
year = {Sat Aug 01 00:00:00 EDT 1998},
month = {Sat Aug 01 00:00:00 EDT 1998}
}