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Technology
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Aii-funded

NylaNova
Nylon 6 Recycling via Chemical Depolymerization

NylaNova maximizes the use of circular fibers. It offers a one-step chemical recycling solution for nylon waste. It’s novel catalyst formulations unlock unmatched performance and economics to convert post-industrial and post-consumer nylon waste into virgin-quality caprolactam which can be then repolymerized back into new nylon-6.

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Solution tier focus

Nylon 6 Recycling via Chemical Depolymerization focuses on Tier 3 and Tier 4.
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Tier 4
Raw material extraction
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Tier 3
Raw material processing
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Tier 2
Material production
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Tier 1
Finished product assembly

Solution maturity level

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Pre-seed
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Current Level
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Pilot
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Model
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Scale
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Pre-seed DEFINITION
Solutions that are at a concept level and in the process of evaluating and establishing their impact potential.
Goal Of This Pre-seed Solution
Demonstration of technology at kg scale, providing the data validating techno-economic model prior to CapEx investment.
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Current Level
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Pilot DEFINITION
Solutions that are in the process of testing their solution in order to demonstrate a proof of concept.
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Model DEFINITION
Solutions that are working towards de-risking and reducing known barriers to scale.
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Scale DEFINITION
Solutions that are commercially viable with a proven go-to-market strategy.
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Location Availability

The solution is currently at lab scale, but by 2030 could be available globally.
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Available regions
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Sites
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Forecasted Solution impact

Impact is calculated over the duration of the solution.
What are the different saving types?
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GHG savings
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0.02
kgCO2e
Forecasted average savings
Per kg production
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3.54
tCO2e
Forecasted total savings
All sites / year
77% Average
Energy savings
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57
MJ
Forecasted average savings
Per kg production
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46
GJ
Forecasted total savings
All sites / year
77% Average

Funding contributions

The funding will be used to purchase a large Stainless Steel reactor as well as the operating expenses for the reactor. Additionally the funding will be used to conduct an LCA study at the conclusion of the project.
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$399,954
Total funding over a 1 year period
Aii Funding
$249,820
Other Funding
$150,134
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tCO₂e =
$112,981
$67 industry average
Average forecasted total investment cost per tCO₂e reduction
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The cost per tonne of CO₂e reduced as a result of the solution(s) over the useful life of each project, including brand and site program contributions, as well as all implementation costs.

Forecasted COST PER tCO₂e

DISCLAIMER: These are average projected values, average cost and impact ratios will depend on site specific implementation.
What are the different saving types?
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Implementation Plan

This grant project will allow NylaNova to scale its solvent-free catalytic process from lab scale (500 g max) to a 10 kg/day pilot scale, producing 100 kg batches for industry testing, as requested by the industrial partners we are engaging with. This facilitates validation by these partners, overcoming barriers to adoption for industrial-scale deployment. Additionally, the project will generate 200-300 kg of caprolactam which will be repolymerized into Nylon-6 and ultimately used to create a Nylon apparel garment to demonstrate fiber-grade quality (>99.9% purity). This proof of concept will drive broader adoption, increase the Nylon-6 recycling rate, diminish emissions through reduced virgin material use, and foster a circular economy, aligning with the apparel sector’s decarbonization goals.
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24 months
Projected project length
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Implementation milestones

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Build lab scale unit
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Deliver 10 kg of caprolactam to partner
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3
Complete updated TEA and Life Cycle Analysis from lab scale data
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Polymerize caprolactam into PA6
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Spin PA6 fiber from caprolactam
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6
Complete updated TEA and Life Cycle Analysis from pilot plant data
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Solution providers

NylaNova

Born at Northwestern University in 2024, Nylanova are chemists on a mission-pioneering solutions to eliminate nylon waste. Driving true circularity for nylon through next-gen chemical recycling powered by our novel catalysts.

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Interested in this solution?

Get in touch to learn more about how to implement this solution
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