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A decision support system for eco-efficient biorefinery process comparison using a semantic approach

Lousteau-Cazalet, Charlotte and Barakat, Abdellatif and Belaud, Jean-Pierre and Buche, Patrice and Busset, Guillaume and Charnomordic, Brigitte and Dervaux, Stéphane and Destercke, Sébastien and Dibie, Juliette and Sablayrolles, Caroline and Vialle, Claire A decision support system for eco-efficient biorefinery process comparison using a semantic approach. (2016) Computers and Electronics in Agriculture, 127. 351-367. ISSN 0168-1699

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Official URL: https://doi.org/10.1016/j.compag.2016.06.020

Abstract

Enzymatic hydrolysis of the main components of lignocellulosic biomass is one of the promising methods to further upgrading it into biofuels. Biomass pre-treatment is an essential step in order to reduce cellulose crystallinity, increase surface and porosity and separate the major constituents of biomass. Scientific literature in this domain is increasing fast and could be a valuable source of data. As these abundant scientific data are mostly in textual format and heterogeneously structured, using them to compute biomass pre-treatment efficiency is not straightforward. This paper presents the implementation of a Decision Support System (DSS) based on an original pipeline coupling knowledge engineering (KE) based on semantic web technologies, soft computing techniques and environmental factor computation. The DSS allows using data found in the literature to assess environmental sustainability of biorefinery systems. The pipeline permits to: (1) structure and integrate relevant experimental data, (2) assess data source reliability, (3) compute and visualize green indicators taking into account data imprecision and source reliability. This pipeline has been made possible thanks to innovative researches in the coupling of ontologies, uncertainty management and propagation. In this first version, data acquisition is done by experts and facilitated by a termino-ontological resource. Data source reliability assessment is based on domain knowledge and done by experts. The operational prototype has been used by field experts on a realistic use case (rice straw). The obtained results have validated the usefulness of the system. Further work will address the question of a higher automation level for data acquisition and data source reliability assessment.

Item Type:Article
HAL Id:lirmm-01346685
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Other partners > AgroParisTech (FRANCE)
French research institutions > Centre de Coopération Internationale en Recherche Agronomique - CIRAD (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Institut National de la Recherche Agronomique - INRA (FRANCE)
Other partners > Montpellier SupAgro (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Other partners > Université de Technologie de Compiègne – UTC (FRANCE)
Other partners > Université de Montpellier (FRANCE)
Laboratory name:
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Deposited By: Yves MOMBOISSE
Deposited On:06 Jun 2019 11:59

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