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废弃风力涡轮机的处理与增值:部件识别与分析

Treatment and Valorization of Waste Wind Turbines: Component Identification and Analysis.

作者信息

Zhao Xiaohan, Pakuła Daria, Frydrych Miłosz, Konieczna Roksana, Sztorch Bogna, Kozera Rafał, Liu Hongzhi, Zhou Hui, Przekop Robert E

机构信息

International Center for Interdisciplinary Research and Innovation of Silsesquioxane Science, Key Laboratory of Special Functional Aggregated Materials, Ministry of Education, School of Chemistry and Chemical Engineering, Shandong University, Jinan 250100, China.

Center for Advanced Technologies, Adam Mickiewicz University in Poznań, Uniwersytetu Poznańskiego 10, 61-614 Poznań, Poland.

出版信息

Materials (Basel). 2025 Jan 20;18(2):468. doi: 10.3390/ma18020468.

Abstract

Recycling end-of-life wind turbines poses a significant challenge due to the increasing number of turbines going out of use. After many years of operation, turbines lose their functional properties, generating a substantial amount of composite waste that requires efficient and environmentally friendly processing methods. Wind turbine blades, in particular, are a problematic component in the recycling process due to their complex material composition. They are primarily made of composites containing glass and carbon fibers embedded in polymer matrices such as epoxies and polyester resins. This study presents an innovative approach to analyzing and valorizing these composite wastes. The research methodology incorporates integrated processing and analysis techniques, including mechanical waste treatment using a novel compression milling process, instead of traditional knife mills, which reduces wear on the milling tools. Based on the differences in the structure and colors of the materials, 15 different kinds of samples named WT1-WT15 were distinguished from crushed wind turbines, enabling a detailed analysis of their physicochemical properties and the identification of the constituent components. Fourier transform infrared spectroscopy (FTIR) identified key functional groups, confirming the presence of thermoplastic polymers (PET, PE, and PP), epoxy and polyester resins, wood, and fillers such as glass fibers. Thermogravimetric analysis (TGA) provided insights into thermal stability, degradation behavior, and the heterogeneity of the samples, indicating a mix of organic and inorganic constituents. Differential scanning calorimetry (DSC) further characterized phase transitions in polymers, revealing variations in thermal properties among samples. The fractionation process was carried out using both wet and dry methods, allowing for a more effective separation of components. Based on the wet separation process, three fractions-GF1, GF2, and GF3-along with other components were obtained. For instance, in the case of the GF1 < 40 µm fraction, thermogravimetric analysis (TGA) revealed that the residual mass is as high as 89.7%, indicating a predominance of glass fibers. This result highlights the effectiveness of the proposed methods in facilitating the efficient recovery of high-value materials.

摘要

由于退役风力涡轮机数量不断增加,回收报废风力涡轮机带来了重大挑战。经过多年运行,涡轮机失去其功能特性,产生大量复合材料废料,这需要高效且环保的处理方法。特别是风力涡轮机叶片,由于其复杂的材料组成,在回收过程中是一个棘手的部件。它们主要由复合材料制成,这些复合材料包含嵌入环氧树脂和聚酯树脂等聚合物基体中的玻璃纤维和碳纤维。本研究提出了一种分析和利用这些复合材料废料的创新方法。研究方法采用了综合处理和分析技术,包括使用新型压缩研磨工艺进行机械废料处理,而不是传统的刀磨机,这减少了研磨工具的磨损。基于材料结构和颜色的差异,从破碎的风力涡轮机中区分出15种不同的样品,命名为WT1 - WT15,从而能够详细分析它们的物理化学性质并识别组成成分。傅里叶变换红外光谱(FTIR)确定了关键官能团,证实了热塑性聚合物(PET、PE和PP)、环氧树脂和聚酯树脂、木材以及玻璃纤维等填料的存在。热重分析(TGA)提供了关于热稳定性、降解行为和样品异质性的见解,表明存在有机和无机成分的混合。差示扫描量热法(DSC)进一步表征了聚合物中的相变,揭示了样品之间热性能的差异。分馏过程采用湿法和干法进行,以便更有效地分离成分。基于湿法分离过程,获得了三个馏分——GF1、GF2和GF3以及其他成分。例如,对于GF1 < 40 µm馏分,热重分析(TGA)显示残余质量高达89.7%,表明玻璃纤维占主导。这一结果突出了所提出方法在促进高效回收高价值材料方面的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc5b/11767024/22b354540e75/materials-18-00468-g001.jpg

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