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Allocation and characterisation factors for absolute environmental sustainability assessment
Jan Marcus Hartmann1, David Yang Shu2, André Bardow2
1Institute of Technical Thermodynamics, RWTH Aachen University, 52062, Aachen, Germany.
Scientific Data
|July 4, 2026
Summary
This study introduces a reusable dataset for Absolute Environmental Sustainability Assessment (AESA). It provides crucial data for calculating environmental sustainability thresholds and burdens for economic sectors globally.
Area of Science:
- Environmental Science
- Economics
- Life Cycle Assessment
Background:
- Absolute Environmental Sustainability Assessment (AESA) requires sector-specific data to compare environmental burdens against sustainability thresholds.
- A lack of reusable datasets hinders the widespread implementation of AESA.
- Planetary boundaries provide a framework for defining environmental sustainability thresholds.
Purpose of the Study:
- To develop and provide a comprehensive, reusable dataset for planetary-boundary-based Absolute Environmental Sustainability Assessment (AESA).
- To enable consistent and accurate comparison of environmental burdens from economic sectors against defined sustainability thresholds.
Main Methods:
- Calculated allocation factors for 163 economic sectors across 44 countries and 5 Rest-of-World regions using four allocation principles.
- Combined population-based allocation with value-based allocation (direct/total, consumption/production).
- Provided characterisation factors for 2684 elementary flows from ecoinvent v3.10.1 databases.
Main Results:
- A dataset enabling planetary-boundary-based AESA is now available.
- The dataset includes detailed allocation factors and characterisation factors for numerous economic sectors and environmental flows.
- The data supports the assessment of environmental burdens across most global planetary boundary categories.
Conclusions:
- The developed dataset addresses the critical data gap for implementing AESA.
- This resource facilitates robust environmental sustainability assessments for economic sectors.
- The findings support informed decision-making for achieving global environmental sustainability goals.
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