Prediction of pyrolysis products distribution for end-of-life wind turbine blades using attention-based feature fusion

Zhang Qiliang; Jiang Dekai; Li Chenxu; Zhang Baoxin; Hu Bin; Xu Mingxin; Li Kai; Lu Qiang

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Prediction of pyrolysis products distribution for end-of-life wind turbine blades using attention-based feature fusion

Updated：2026-09-17

- Prediction of pyrolysis products distribution for end-of-life wind turbine blades using attention-based feature fusion
- Prediction of pyrolysis products distribution for end-of-life wind turbine blades using attention-based feature fusion
- 中国化学工程学报（英文） 2026年95卷第7期页码：1-9
- Affiliations：
  
  Department of Automation, North China Electric Power University, Baoding 071003, China
  Department of Economic Management, North China Electric Power University, Baoding 071003, China
  National Engineering Research Center of New Energy Power Generation, North China Electric Power University, Beijing 102206, China
- Author bio：
  
  *Corresponding author.E-mail address:qianglu@mail.ustc.edu.cn(Q. Lu).
- Funds：
  
  the National Key Research and Development Program of China(2023YFC3906002);the Hebei Natural Science Foundation(F2024502008);the National Natural Science Foundation of China(52436009)
- DOI：
  中图分类号：
- 收稿：2025-11-10，
  
  修回：2026-01-22，
  
  录用：2026-02-02，
  
  网络首发：2026-04-08，
  
  纸质出版：2026-07
- Accepted：
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Zhang Qiliang, Jiang Dekai, Li Chenxu, 等. Prediction of pyrolysis products distribution for end-of-life wind turbine blades using attention-based feature fusion[J]. 中国化学工程学报（英文）, 2026,95(7):1-9.

Zhang Qiliang, Jiang Dekai, Li Chenxu, et al. Prediction of pyrolysis products distribution for end-of-life wind turbine blades using attention-based feature fusion[J]. Chinese Journal of Chemical Engineering, 2026, 95(7): 1-9.
Zhang Qiliang, Jiang Dekai, Li Chenxu, 等. Prediction of pyrolysis products distribution for end-of-life wind turbine blades using attention-based feature fusion[J]. 中国化学工程学报（英文）, 2026,95(7):1-9. DOI：

Zhang Qiliang, Jiang Dekai, Li Chenxu, et al. Prediction of pyrolysis products distribution for end-of-life wind turbine blades using attention-based feature fusion[J]. Chinese Journal of Chemical Engineering, 2026, 95(7): 1-9. DOI：

摘要

Abstract

Pyrolysis can effectively recover glass fibers from end-of-life wind turbine blades (WTBs) while producing reusable pyrolysis oil and syngas. The nonlinear dynamics involved in the pyrolysis of end-of-life WTBs bring challenges in accurately predicting the product distribution. This paper proposes an attention-based feature fusion prediction framework for pyrolysis product distribution of end-of-life WTBs. Firstly

a physics-informed neural network (PINN) incorporating the Arrhenius equation is proposed. Then

a product distribution prediction model for the fast pyrolysis of end-of-life WTBs is developed by integrating the extreme gradient boosting algorithm

multilayer perceptron

and the PINN

with an attention mechanism introduced to dynamically weight their output. Based on this

a dynamic weighted feature fusion algorithm is proposed to predict the pyrolysis product distribution of end-of-life WTBs. Finally

the superiority of the proposed method is demonstrated through fast pyrolysis experiments of end-of-life WTBs. The experimental results show that the proposed method achieves a notable improvement in prediction accuracy

reducing the root mean square error and mean absolute error by 86% to 99% compared to existing approaches.

关键词

Keywords

references

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