• •India solved two plastics. MLP remains the systemic failure.
  • •Recycling success driven by economics, not policy alone.
  • •Collection and logistics—not technology—are the real bottlenecks.

Decentralized chemical recycling is the next transition model.

India’s circular economy journey has followed a clear pattern—problems get solved when economics, collection systems, and industry alignment converge. The presentation positioned PET and EPS as successful case studies, while Multi-Layer Plastics (MLP) remains unresolved due to structural inefficiencies rather than lack of technology. 

PET and EPS demonstrate that scalable recycling is achievable with the right ecosystem design

The presenter highlighted that India has already solved two major plastic waste streams:

  • •PET evolved from bottle-to-fibre to a mature bottle-to-bottle ecosystem, achieving ~92% recycling rates and competing globally. 
  • •EPS recycling scaled rapidly in the last 5 years through decentralized melting and densification systems. 

The key underlying factor in both cases was economic viability + decentralized processing, not just policy push. Informal sector participation (rag pickers, aggregators) and industry investments enabled scale. 

MLP remains unsolved due to logistics inefficiency and low-value recovery pathways

Unlike PET and EPS, MLP is currently:

  •  •Sent to cement kilns over long distances (300–400 km) 
  •  •Associated with high logistics emissions 
  •  •Low in calorific and material recovery value due to contamination 

The presenter emphasized that the problem is not absence of recycling technology, but the lack of an economically viable and scalable system for collection and processing. 

Collection systems and informal sector integration are central to recycling success

Even in the successful PET ecosystem, key challenges persist:

  •  •Difficulty in aggregating lightweight waste 
  •  •Dependence on informal workers 
  •  •Need for baling infrastructure and aggregation centers 

This indicates that collection efficiency—not recycling technology—is the primary constraint across all plastic streams. 

Decentralized processing models unlock scale by reducing logistics costs

A critical insight from the EPS case and proposed MLP solution is:

Processing waste closer to the source reduces cost and improves viability

EPS success came from:

  •  •Low-cost local melters 
  •  •Conversion into transportable ingots 
  •  •Distributed collection points 

This same principle is extended to MLP through a new system design. 

Hub-and-spoke chemical recycling model proposed for MLP scale-up

The presenter proposed a distributed pyrolysis + centralized purification model:

  • •Spokes: Small (~8 TPD) pyrolysis units process local MLP waste 
  • •Hub: Central facility upgrades crude pyrolysis oil into refinery-grade feedstock 
  • •Output: Circular naphtha fed into existing petrochemical crackers 

This reduces:

  •  •Transport volume (oil vs waste) 
  •  •Logistics cost and emissions 
  •  •Infrastructure dependency 

The model mirrors PET baling logic—compress first, transport later. 

Technology readiness is no longer the constraint—policy alignment is

The presentation clearly stated:

  •  •Indian companies already have working pyrolysis technologies 
  •  •Industry capability exists to scale 

However, progress is blocked by:

  •  •Lack of policy direction 
  •  •Absence of funding frameworks for distributed plants 
  •  •No clear mandates to divert MLP from cement kilns 

The message was direct:

“Technology is ready. Market is ready. Policy must enable execution.”

Outlook

India’s next phase of circularity will depend on solving MLP—the “third problem.”

If the hub-and-spoke model is implemented:

  •  •MLP can move from energy recovery to material circularity 
  •  •Logistics emissions can be significantly reduced 
  •  •Circular feedstock can integrate into existing petrochemical infrastructure 

By 2030, this could become India’s third major recycling success story, after PET and EPS—provided policy, funding, and execution align.