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Waste and material flow analysis in the end-of-life wind energy system

Authors: Tazi, Nacef; Kim, Junbeum; Bouzidi, Youcef; Chatelet, Eric; Liu, Gang;

Waste and material flow analysis in the end-of-life wind energy system

Abstract

Abstract In the specific case of French onshore wind farms, waste management of these systems has become an important factor of the wind energy industry’s sustainability. The aim of this paper is to quantify wind turbine (WT) material wastes and flows across the Champagne-Ardenne (CA) region from 2002 to 2020. To do so, a material flow analysis (MFA) model was used. It included three maintenance strategies used for onshore wind turbines. Results show that more than 1 million tons of material will ultimately be generated at the EoL of CA wind farms. The main EoL materials are ferrous and non-ferrous metals, polymers, glass and concrete. The main EoL materials are ferrous and non-ferrous metals, polymers, glass and concrete. In this total, blades and composite EoL materials that need to be managed, account for more than 27,000 tons; there are 523,227 tons of steel and iron materials that need to be handled; 6617 tons of copper, and 28,179 tons of aluminum flows. Landfill concrete accounts for 734,230 tons. When the concrete in foundation is not considered, 73% of an average wind turbine can be recycled. With the first generation of WT reaching their EoL phase and taking into account that no dismantling or recycling facilities of WT components have emerged in the French territory, the potential of WT wastes available for treatment (recycle, incinerate, landfill etc.) is still increasing.

Countries
France, Denmark
Keywords

Maintenance, [SDE.IE]Environmental Sciences/Environmental Engineering, Material flow analysis, End of life, Wind turbine wastes, Recycling, [SDE.IE] Environmental Sciences/Environmental Engineering, Wind energy

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    66
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
66
Top 1%
Top 10%
Top 1%
Green
bronze