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Development of Streamlined Life-Cycle Assessment for the Solid Waste Management System
Yixuan Wang1, James W Levis1, Morton A Barlaz1
1Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Campus Box 7908, Raleigh, North Carolina 27695-7908, United States.
Streamlining life-cycle assessments (LCAs) for municipal solid waste management (MSWM) significantly reduces data needs. A new framework identifies critical impacts and inventory flows, ensuring consistent results for better early-stage planning.
Area of Science:
- Environmental Science
- Engineering
- Sustainability
Background:
- Life-cycle assessments (LCAs) for municipal solid waste management (MSWM) are data-intensive, limiting their use in early planning.
- Streamlining LCAs can facilitate wider adoption and improve decision-making for waste management systems.
Purpose of the Study:
- To develop a systematic framework for streamlining LCAs of MSWM systems.
- To identify critical impacts, life-cycle inventory emissions, and inputs that significantly contribute to overall environmental impacts and influence scenario rankings.
Main Methods:
- Developed a streamlined LCA approach to reduce data requirements from a full LCA with 1752 flows and 10 impact categories.
- Analyzed 18 alternative MSWM scenarios involving six treatment processes.
- Identified critical impacts and inventory flows based on their contribution to total impacts and effect on scenario rankings.
Main Results:
- Human health cancer, ecotoxicity, eutrophication, and fossil fuel depletion account for 75-83% of total impacts across all MSWM scenarios.
- A small fraction (3.3%) of inventory flows contribute to over 95% of the overall environmental impact.
- The streamlined LCA approach yielded consistent strategy rankings compared to the full LCA.
Conclusions:
- The proposed framework effectively streamlines LCAs for MSWM, reducing data intensity.
- Prioritizing specific impacts and inventory flows is crucial for efficient and accurate early-stage MSWM strategy design.
- The findings support the wider application of LCAs in planning and designing sustainable MSWM systems.
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