Recycling Automotive Shredder Residue: A Techno-Economic Analysis

Abstract This study presents a novel “sorter-at-shredder” business model for the pyrolysis of Automotive Shredder Residue (ASR) plastics, addressing the challenge of low plastic recycling rates in end-of-life vehicles (ELVs). ASR comprises 25% of ELV material, and ASR consists of about 43% polypropylene (PP) and polyethylene (PE) plastics, which can be separated using sink-float sorting technology and pyrolyzed into olefin-rich product. The “sorter-at-shredder” business model strategically places small-scale pyrolysis plants that process up to 280 tons per day at existing shredders, integrating with ferrous and non-ferrous processing chains and enabling daily processing of ASR plastics. The model focuses on PP and PE plastics, creating olefin-rich product that can be re-entered into the supply cycle. Economic analysis reveals a yearly revenue of $46.1M for olefins-rich product, and a promising payback period of 6.3 years for the shredder, falling within acceptable ranges. The model uses Dallas, Texas, to capitalize on regulatory, economic, and geographical advantages, including proximity to a cluster of 5 shredders which process 165 tons of PP and 119 tons of PE each day, and proximity to oil refineries which can purchase olefin-rich product from the shredder. Future work involves optimizing sorting and pyrolysis technologies, ensuring the model’s success and contributing to a sustainable automotive industry.

Authors

Institutions

Publication Details

Published
2024-08-25
DOI
https://doi.org/10.1115/detc2024-143585
Primary Topic
Recycling and Waste Management Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Recycling Automotive Shredder Residue: A Techno-Economic Analysis

H. T. Huynh, Alex English, Amos G. Winter, Amber Velez et al.
Recycling and Waste Management Techniques
article

Recycling Automotive Shredder Residue: A Techno-Economic Analysis

H. T. Huynh, Alex English, Amos G. Winter, Amber Velez, LINDA M. CHAPMAN, Emily Welsh, Melanie Gavilanes
article en

Abstract

Abstract This study presents a novel “sorter-at-shredder” business model for the pyrolysis of Automotive Shredder Residue (ASR) plastics, addressing the challenge of low plastic recycling rates in end-of-life vehicles (ELVs). ASR comprises 25% of ELV material, and ASR consists of about 43% polypropylene (PP) and polyethylene (PE) plastics, which can be separated using sink-float sorting technology and pyrolyzed into olefin-rich product. The “sorter-at-shredder” business model strategically places small-scale pyrolysis plants that process up to 280 tons per day at existing shredders, integrating with ferrous and non-ferrous processing chains and enabling daily processing of ASR plastics. The model focuses on PP and PE plastics, creating olefin-rich product that can be re-entered into the supply cycle. Economic analysis reveals a yearly revenue of $46.1M for olefins-rich product, and a promising payback period of 6.3 years for the shredder, falling within acceptable ranges. The model uses Dallas, Texas, to capitalize on regulatory, economic, and geographical advantages, including proximity to a cluster of 5 shredders which process 165 tons of PP and 119 tons of PE each day, and proximity to oil refineries which can purchase olefin-rich product from the shredder. Future work involves optimizing sorting and pyrolysis technologies, ensuring the model’s success and contributing to a sustainable automotive industry.

Massachusetts Institute of Technology (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 75%
Recycling and Waste Management Techniques
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.