Advances in New and Renewable Energy

Recycling Reinforced Fibers from Waste Wind Turbine Blades: Process and Parameter Optimization for Improving Mechanical Strength of the Fiber

Chenghao WANG, Feng ZHU, Dezhen CHEN, Liu HONG

Advances in New and Renewable Energy, 2025, 13(1): 97-106. DOI: 10.3969/j.issn.2095-560X.2025.01.012

a	E/(kJ/mol)	A/min⁻¹	r²
0.1	103.393	1.5 × 10³	0.961
0.2	122.257	2.2 × 10⁴	0.885
0.3	126.974	4.1 × 10⁴	0.853
0.4	111.926	3.6 × 10³	0.294
0.5	191.993	6.8 × 10⁸	0.743
0.6	165.638	8.1 × 10⁶	0.848
0.7	132.541	4.1 × 10⁴	0.889
0.8	149.538	4.5 × 10⁵	0.956
0.9	133.639	3.2 × 10⁴	0.939
平均值	137.544	7.7 × 10⁷	−

Table 7 Activation energy and pre-exponential factor at different conversion rates

Other figure/table from this article

Table 1 Proximate and ultimate analysis of blade sample (dry basis)
Fig. 1 Schematic diagram of pyrolysis device
Table 2 Coding value and level
Fig. 2 TG and DTG curves of wind turbine blades: (a) N₂-10 °C/min; (b) O₂-10 °C/min
Table 3 Composition of the thermolytically produced gases
Fig. 3 The yield of each component of pyrolysis tar
Fig. 4 Optical microscopy images of recovered fibers: (a) WS4000; (b) 400 °C; (c) 500 °C; (d) 600 °C
Table 4 Response surface test results
Table 5 Fitting results of four models
Table 6 Variance analysis for regression model
Fig. 5 Comparison of the predicted and actual maximum load
Fig. 6 The response surface diagram of the effects of different factors on the maximum load of recovered fibers: (a) the effect of decarburization temperature and holding time on the maximum load; (b) the effect of decarburization temperature and heating rate on the maximum load; (c) the influence of holding time and heating rate on the maximum load
Fig. 7 Optical microscope image of recovered fibers after optimizing parameters
Fig. 8 Plot of ln(α/T²) versus 1000/T according to DAEM method
Table 8 Energy balance for waste wind blade pyrolysis system
Fig. 9 DSC curve of pyrolysis fibers loaded with pyrolysis char at a heating rate of 10 °C/min under air