Reducing the climate impact of residual waste treatment: A German case study on carbon management strategies
Year: 2025
Type: article
Abstract: • LCA of carbon management strategies for GHG reduction in residual waste management. • Comparing material recovery (MRF) and carbon capture (CCS) in waste incineration. • CCS offers high GHG savings and is resilient to input and system variations. • MRF outperforms CCS only in scenarios with a low separate collection of recyclables. • The study showcases a highly refined waste LCA modelling framework. Climate neutrality goals require adapting the management of fossil carbon in waste management. This study evaluates the effectiveness of two key carbon management strategies addressing greenhouse gas (GHG) emissions from residual waste treatment, namely: pre-sorting residual waste in a material recovery facility to remove recyclable, carbon-rich materials (S_MRF) versus post-treatment of municipal solid waste incineration (MSWI) flue gas through carbon capture and storage (S_MSWI_CCS). Using residual waste management in Kassel, Germany, as a case study, GHG emissions are assessed for current and prospective scenarios, accounting for changes in waste inputs, material and energy systems, substitution choices, and uncertainties in treatment technology data. It is shown that MSWI in Kassel emits 857 kg of CO 2 per t of wet residual waste, with 31 % fossil CO 2 . Carbon management strategies can reduce direct fossil CO 2 emissions by 27 % (S_MRF) or 90 % (S_MSWI_CCS) and increase the net life cycle GHG savings of residual waste management by a factor of 1.6 (S_MRF) or 2.6 (S_MSWI_CCS), respectively. S_MSWI_CCS offers the highest potential to decrease the GHG footprint of residual waste management and is least sensitive to variations in waste composition, energy and material systems, and substitution choices. Discernibly higher net GHG savings of S_MRF compared to S_MSWI_CCS can only be observed if residual waste is rich in recyclables (low separate collection). Overall, this study highlights the utility of refined scenario, uncertainty and discernability analysis in accounting for local conditions and different settings as well as potential future changes to promote environmental decision support on waste management.
Source: Waste Management
Authors: Sarah Schmidt, David Laner
Institution: University of Kassel
Language: English
Subfield: Waste Management and Disposal
Field: Environmental Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,450
OpenAlex ID: W4408159911