Intensive Data and Knowledge-Driven Approach for Sustainability Analysis: Application to Lignocellulosic Waste Valorization Processes - Laboratoire HEUDIASYC - Heuristique et Diagnostic des Systèmes Complexes Accéder directement au contenu
Article Dans Une Revue Waste and Biomass Valorization Année : 2022

Intensive Data and Knowledge-Driven Approach for Sustainability Analysis: Application to Lignocellulosic Waste Valorization Processes

Résumé

The use of circular economy is becoming more and more important, particularly in the field of agriculture, a major provider of waste. In particular, a lot of researches are being done to transform the lignocellulosic waste from agriculture through desired "sustainable" processes. Sustainable processes mean economically viable, socially accepted, and environmentally responsible processes. Thanks to the "life cycle thinking", it is possible to assess such potential environmental impacts. However, these environmental analyzes require a lot of specific data, whose collection can be long and tedious, or simply impossible in practice. On the other hand, the huge amount of scientific articles describing the processes of valorization of co-products of agriculture constitutes a great, largely under-exploited source of data. Knowledge engineering (KE) tools can be used to compile processes and analyze them. In this paper, we propose an innovative approach, based on intensive data and KE methods, to help a decision maker to choose between different pretreatment processes and different biomasses. The main goal is to develop an intensive, semi-automated data collection approach and an associated tool for assistance with choices in a circular economy context. It is defined by five steps: (1) goal and scope, (2) intensive data and knowledge and the allocation of flows and releasesstructuration and integration, (3) life cycle inventory (LCI), (4) sustainability assessment and (5) analysis and ranking. The study of 13 pretreatment processes of rice straw and corn stover validate our proposal.
Fichier principal
Vignette du fichier
Belaud - Intensive data and knowledge driven approach.pdf (1.1 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03307585 , version 1 (29-03-2023)

Identifiants

Citer

Jean-Pierre Belaud, Nancy Prioux, Claire Vialle, Patrice Buche, Sébastien Destercke, et al.. Intensive Data and Knowledge-Driven Approach for Sustainability Analysis: Application to Lignocellulosic Waste Valorization Processes. Waste and Biomass Valorization, 2022, 13 (1), pp.583-598. ⟨10.1007/s12649-021-01509-8⟩. ⟨hal-03307585⟩
146 Consultations
76 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More