A data analysis-based method for recycling waste wind power blades
By using data analysis to generate a spatiotemporal distribution map of alternating stress and mark pre-separation points, a permeable tracer is coated and a separation induction layer is formed using microwaves. This solves the problem that existing recycling methods cannot address the non-uniform distribution of aging within the blade, achieving high-purity fiber and resin separation, and improving recycling efficiency and resource utilization value.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HUANENG TANGSHAN HAIGANG DISTRICT NEW ENERGY TECHNOLOGY CO LTD
- Filing Date
- 2026-03-31
- Publication Date
- 2026-07-17
AI Technical Summary
Existing wind turbine blade recycling methods fail to selectively dissociate the non-uniform distribution of aging levels in different areas of the blade due to differences in operating loads. This results in a mixture of fiber and resin components, low separation purity, and failure to utilize fatigue damage information, leading to additional energy consumption and chemical reagent consumption in undamaged areas.
By obtaining the original production batch number and full life cycle operation data of the blade, combined with the layup structure design drawing and composite material composition data, an alternating stress spatiotemporal distribution map is generated, pre-separation points are marked and coated with a penetrating tracer, and a separation induction layer is formed by selective absorption using microwave scanning. Mechanical peeling force is applied along the separation induction layer to separate the resin matrix and fiber at the tracer enrichment zone.
It achieves selective dissociation of the fatigue-damaged area of the interface, improves the separation purity of the recovered products, reduces the consumption of energy and chemical reagents in the undamaged area, and enhances the resource value of waste wind turbine blade recycling.
Smart Images
Figure CN122401697A_ABST