Short answer

When designing for circularity, especially for large-scale infrastructure like wind turbines, anticipate and plan for the logistical realities of material export and the varying economic viability of recycling across different regions.

Field
Sustainability
Source
Sustainable Production and Consumption (2024)
Method
Empirical data collection and quantitative modelling.
Evidence
Strong effect

A significant portion of decommissioned onshore wind turbines are exported, impacting domestic recycling capacity forecasts and highlighting the need for better planning of circular economy infrastructure. This sustainability research insight is drawn from a 2024 study published in Sustainable Production and Consumption. Using Empirical data collection and quantitative modelling., researchers explored how this design variable affects real-world outcomes. The key design takeaway: When designing for circularity, especially for large-scale infrastructure like wind turbines, anticipate and plan for the logistical realities of material export and the varying economic viability of recycling across different regions.

Study
SustainabilityRecentStrong effect

Decommissioned Wind Turbines: Export Dominates, Recycling Capacity Lags

A significant portion of decommissioned onshore wind turbines are exported, impacting domestic recycling capacity forecasts and highlighting the need for better planning of circular economy infrastructure.

Sustainable Production and Consumption · 2024

01

Key Findings

  • 01Approximately 50-60% of decommissioned onshore wind turbines in Denmark and Germany are exported, primarily to other European countries.
  • 02Current forecasting models for blade recycling capacity may overestimate potential quantities due to static decommissioning time assumptions and neglect of second lifecycles.
  • 03Germany's large wind turbine fleet suggests it can reach the volume threshold for economically viable blade-recycling facilities, while Denmark's recycling efforts may require aggregation of resources from other sources or industries.
02

Application

Design takeaway

When designing for circularity, especially for large-scale infrastructure like wind turbines, anticipate and plan for the logistical realities of material export and the varying economic viability of recycling across different regions.

How to apply

When assessing the feasibility of recycling initiatives for large products, gather empirical data on current end-of-life pathways (e.g., export, reuse) and use this to inform material flow forecasts and infrastructure planning.

Project actions

  • 01When researching a product's lifecycle, investigate where components and materials actually go at the end of their life, not just where they *could* go.
  • 02Consider the economic and logistical factors that influence material recovery and recycling pathways.
03

Method & Evidence

AimTo quantify the circular economy pathways of decommissioned onshore wind turbines in Denmark and Germany and develop a more reliable forecasting model for blade-recycling capacity.
MethodEmpirical data collection and quantitative modelling.
ProcedureThe study collected data on the destinations of decommissioned onshore wind turbines in Denmark and Germany, distinguishing between domestic recycling, export, and other pathways. It then used this data to develop a component and material flow forecasting model, considering potential second lifecycles and adhering to the EU Waste Hierarchy Directive.
ContextRenewable energy sector, specifically onshore wind turbines at end-of-life.

Variables

IVDecommissioning location (Denmark/Germany), presence of second lifecycle practices.
DVPercentage of turbines exported, estimated annual blade mass for domestic recycling.
CVType of wind turbine, age of turbine, specific decommissioning policies (implicitly controlled by country).
04

Strengths & Limitations

Strengths

  • +Utilizes empirical data from mature markets.
  • +Develops a novel forecasting model that accounts for second lifecycles.

Limitations

The study's findings are specific to Denmark and Germany; results might differ in other regions. Future trends in reuse and recycling policies could alter these pathways.

Reliability & validity

Reliability is supported by empirical data collection. Validity is enhanced by the development of a new forecasting model that addresses limitations of previous approaches. However, the predictive validity of the model for future scenarios relies on assumptions about future practices.

Think critically

How do the economic incentives for exporting end-of-life components influence the development of domestic circular economy infrastructure?

05

Design Principles

"Design for End-of-Life Realities: Account for actual material and component flow patterns, including export and reuse, when planning for circular economy infrastructure and resource recovery."

Understanding the actual material and component flows from end-of-life products is critical for developing effective circular economy strategies. This research provides empirical data that challenges existing assumptions, enabling more realistic planning for resource recovery and waste management in the renewable energy sector.

06

What This Means for Your Design

Lots of old wind turbine parts are sent to other countries instead of being recycled locally. This means we need to be more realistic about how much material we can actually recycle at home and plan accordingly.

How to use in your project

  • 1.Use the findings to justify the importance of investigating actual end-of-life pathways for your chosen product.
  • 2.Incorporate the concept of material export and its impact on local recycling capacity into your analysis of a product's sustainability.
07

Add to My Project

08

Quick Cite

Paragraph starter

This research highlights that the actual end-of-life pathways for products, such as the significant export of decommissioned wind turbines, must be empirically investigated to accurately forecast material flows for recycling. Ignoring these real-world logistics can lead to overestimations of domestic recycling capacity, impacting the feasibility of circular economy initiatives.

09

Source

Sustainable Production and Consumption

Quantifying circular economy pathways of decommissioned onshore wind turbines: The case of Denmark and Germany

journal · 2024

View source

Questions About This Research

What does the research say about decommissioned wind turbines: export dominates, recycling capacity lags?
When designing for circularity, especially for large-scale infrastructure like wind turbines, anticipate and plan for the logistical realities of material export and the varying economic viability of recycling across different regions. Evidence: Sustainable Production and Consumption (2024).
Why does "Decommissioned Wind Turbines: Export Dominates, Recycling Capacity Lags" matter for design?
Understanding the actual material and component flows from end-of-life products is critical for developing effective circular economy strategies. This research provides empirical data that challenges existing assumptions, enabling more realistic planning for resource recovery and waste management in the renewable energy sector.
How can designers apply this research?
When designing for circularity, especially for large-scale infrastructure like wind turbines, anticipate and plan for the logistical realities of material export and the varying economic viability of recycling across different regions.
What were the main findings?
Approximately 50-60% of decommissioned onshore wind turbines in Denmark and Germany are exported, primarily to other European countries.. Current forecasting models for blade recycling capacity may overestimate potential quantities due to static decommissioning time assumptions and neglect of second lifecycles.. Germany's large wind turbine fleet suggests it can reach the volume threshold for economically viable blade-recycling facilities, while Denmark's recycling efforts may require aggregation of resources from other sources or industries.
What research method was used?
Empirical data collection and quantitative modelling..
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2024 journal from Sustainable Production and Consumption.
What should I do differently in my next project?
When assessing the feasibility of recycling initiatives for large products, gather empirical data on current end-of-life pathways (e.g., export, reuse) and use this to inform material flow forecasts and infrastructure planning.
What are the limitations?
The study focuses on Denmark and Germany, and findings may vary in regions with different regulatory frameworks, market maturity, and logistical capabilities. The model's accuracy depends on the continued accuracy of future decommissioning and second-life practice assumptions.