Classification of industrial biobased systems in the EU as basis for sustainability and circularity assessment - Status quo and suggestions for a systematic approach

Within the biobased economy, numerous biobased products (BBPs), processes, feedstocks, and waste streams are involved. Thus, numerous industrial biobased systems (IBBSs) with diverse value chains and interconnected biobased flows exist or are in development, which have been classified using different criteria and systems to date. To support comparable assessments and identify the most sustainable and circular systems, a unified classification of IBBSs is needed. Therefore, this study aims to develop a unified systematization of IBBS classification within the scope of sustainability and circularity assessment for the whole range of BBPs. Systematization of the IBBS classification is achieved based on five key features: BBPs, biobased industries, biomass feedstocks, life cycle assessment (LCA) system boundary, and end-of-life (EoL) management. To integrate the key features into a unified framework, a multi-criteria decision analysis (MCDA) approach is employed. The proposed harmonized classification encompasses a statistical classification of economic activities (NACE) related to BBPs, a platform-based classification for biobased industries, and an origin-based classification for biomass feedstocks. Keeping sustainability assessment in view, three distinct LCA aspects with system boundary modelling approach, data types, and supply chain are integrated. A structured EoL classification categorizes the EoL stages into circulatable life phases and final disposal phases, facilitating circularity assessment. Overall, the proposed harmonized classification framework enables consistent and comparable evaluations of environmental sustainability and circularity across IBBSs, thereby supporting the advancement of a sustainable and circular BBPs bioeconomy in the EU. • Industrial biobased systems should be systemized by life cycle elements. • The systemization of biobased industries should include processes with component separation as well as without component separation. • Multicriteria decision analysis provides a systematic way towards harmonization of classification. • The suggested harmonized classification framework supports systematic, comparable sustainability and circularity assessment.

Authors

Institutions

Publication Details

Journal
Bioresource Technology Reports
Published
2026-01-20
DOI
https://doi.org/10.1016/j.biteb.2026.102585
Primary Topic
Bioeconomy and Sustainability Development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Classification of industrial biobased systems in the EU as basis for sustainability and circularity assessment - Status quo and suggestions for a systematic approach

Omar Hijazi, Gabriele Weber‐Blaschke, Muhammad Zeeshan Khan
Bioresource Technology Reports
Bioeconomy and Sustainability Development
article

Classification of industrial biobased systems in the EU as basis for sustainability and circularity assessment - Status quo and suggestions for a systematic approach

Omar Hijazi, Gabriele Weber‐Blaschke, Muhammad Zeeshan Khan
article en

Abstract

Within the biobased economy, numerous biobased products (BBPs), processes, feedstocks, and waste streams are involved. Thus, numerous industrial biobased systems (IBBSs) with diverse value chains and interconnected biobased flows exist or are in development, which have been classified using different criteria and systems to date. To support comparable assessments and identify the most sustainable and circular systems, a unified classification of IBBSs is needed. Therefore, this study aims to develop a unified systematization of IBBS classification within the scope of sustainability and circularity assessment for the whole range of BBPs. Systematization of the IBBS classification is achieved based on five key features: BBPs, biobased industries, biomass feedstocks, life cycle assessment (LCA) system boundary, and end-of-life (EoL) management. To integrate the key features into a unified framework, a multi-criteria decision analysis (MCDA) approach is employed. The proposed harmonized classification encompasses a statistical classification of economic activities (NACE) related to BBPs, a platform-based classification for biobased industries, and an origin-based classification for biomass feedstocks. Keeping sustainability assessment in view, three distinct LCA aspects with system boundary modelling approach, data types, and supply chain are integrated. A structured EoL classification categorizes the EoL stages into circulatable life phases and final disposal phases, facilitating circularity assessment. Overall, the proposed harmonized classification framework enables consistent and comparable evaluations of environmental sustainability and circularity across IBBSs, thereby supporting the advancement of a sustainable and circular BBPs bioeconomy in the EU. • Industrial biobased systems should be systemized by life cycle elements. • The systemization of biobased industries should include processes with component separation as well as without component separation. • Multicriteria decision analysis provides a systematic way towards harmonization of classification. • The suggested harmonized classification framework supports systematic, comparable sustainability and circularity assessment.

Bioresource Technology ReportsVol. 33
Technical University of Munich (DE)
Responsible consumption and production
Openalex Percentile: Top 84%
Bioeconomy and Sustainability Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.