Mapping Waste Wood Volumes

Client: Waste Wood Collection & Treatment Operator

Challenge

The client required a clear understanding of available waste wood volumes arising from regional waste treatment operators. They needed visibility of material availability along existing transport routes, alongside insight into adjacent material streams that could supplement core waste wood feedstock without increasing processing complexity or logistics costs.

Objectives

• Quantify waste wood volumes from targeted waste treatment operators
• Categorise materials using relevant EWC codes
• Identify additional material streams closely aligned to wood waste
• Map volumes against existing transport routes to assess commercial viability

Approach

The WasteVyne conducted a structured assessment combining operator data, waste classifications and spatial analysis.

Material streams were categorised using key EWC codes associated with wood and wood-containing wastes. Alongside core waste wood, the study assessed materials with similar physical or processing characteristics.

Volumes were mapped geographically against established transport corridors to identify supply clusters, optimise haulage distances and highlight opportunities for aggregation.

Key Insights

• Economically viable volumes of waste wood were identified within existing transport catchments
• Several adjacent material streams showed strong alignment with wood waste in terms of handling and processing requirements
• Transport route mapping highlighted priority corridors where feedstock consolidation could reduce costs and emissions

Outcome & Value

The project delivered an evidence-based view of waste wood availability, supporting more informed feedstock strategy and operational planning. By identifying both core and complementary material streams, the client gained increased supply resilience and flexibility without compromising efficiency.

The outputs now underpin commercial discussions, capacity planning and future investment decisions.

The WasteVyne
Delivering data-led insight for smarter waste, resource and circular economy decisions.