AI-based prediction and diagnostic on bioethanol production

Author

Vassileva, Svetla ; Doukovska, Lyubka ; Mileva, Silvia

Author_Institution

Dept. of Integrated Syst., ISER, Sofia, Bulgaria

fYear

2012

fDate

6-8 Sept. 2012

Firstpage

270

Lastpage

274

Abstract

Nowadays biomass is used to meet a variety of energy needs, including generating electricity, heating homes, fueling vehicles and providing process heat for industrial facilities. Bioethanol is ethanol (C₂H₅OH) produced by the biological fermentation of carbohydrates derived from plant material and from the food industry. In terms of fuel use, ethanol is mainly of interest as a petrol additive or substitute. This paper presents a detailed study on ethanol fermentation, carried out by yeasts, based on full experimental plan and artificial intelligence prediction methods application. Presented results are applicable to industrial applications for biofuels production and related technological process functional diagnostic systems.

Keywords

additives; artificial intelligence; biofuel; biotechnology; fermentation; microorganisms; organic compounds; petroleum; process heating; production engineering computing; renewable materials; AI-based diagnostic; AI-based prediction; artificial intelligence prediction method application; bioethanol production; biofuel production; biological fermentation; biomass; carbohydrates; electricity generation; ethanol fermentation; ethanol production; food industry; heating; industrial facilities; petrol additive; petrol substitute; plant material; process heat; technological process functional diagnostic systems; vehicle fueling; yeasts; Adaptation models; Artificial neural networks; Biological system modeling; Biomass; Ethanol; Mathematical model; Predictive models; artificial intelligence; bioethanol; biofuels; diagnostics; prediction; yeast fermentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems (IS), 2012 6th IEEE International Conference

Conference_Location

Sofia

Print_ISBN

978-1-4673-2276-8

Type

conf

DOI

10.1109/IS.2012.6335147

Filename

6335147