Investigation and prediction of co-pyrolysis between oily sludge and high-density polyethylene via in-situ DRIFTS, TGA, and artificial neural network

被引:0
|
作者
Ai, Zejian [1 ]
Zhang, Weijin [1 ]
Yang, Lihong [1 ]
Chen, Hong [2 ]
Xu, Zhengyong [3 ]
Leng, Lijian [1 ]
Li, Hailong [1 ]
机构
[1] School of Energy Science and Engineering, Central South University, Changsha,410083, China
[2] Key Laboratory of Dongting Lake Aquatic Eco-Environmental Control and Restoration of Hunan Province, School of Hydraulic Engineering, Changsha University of Science and Technology, Changsha,410004, China
[3] Hunan Modern Environmental Technology Co., LTD., 410000, China
关键词
Activation analysis - Behavioral research - Differential scanning calorimetry - Forecasting - Fourier transform infrared spectroscopy - Free radicals - High density polyethylenes - Neural networks - Petroleum industry - Pyrolysis - Thermogravimetric analysis - Waste treatment;
D O I
暂无
中图分类号
学科分类号
摘要
引用
下载
收藏
相关论文
共 14 条
  • [1] Investigation and prediction of co-pyrolysis between oily sludge and high-density polyethylene via in-situ DRIFTS, TGA, and artificial neural network
    Ai, Zejian
    Zhang, Weijin
    Yang, Lihong
    Chen, Hong
    Xu, Zhengyong
    Leng, Lijian
    Li, Hailong
    JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS, 2022, 166
  • [2] Investigation on the co-pyrolysis of agricultural waste and high-density polyethylene using TG-FTIR and artificial neural network modelling
    Li, Jishuo
    Yao, Xiwen
    Chen, Shoukun
    Xu, Kaili
    Fan, Bingjie
    Yang, Dexin
    Geng, Liyan
    Qiao, Haiming
    PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2022, 160 : 341 - 353
  • [3] In-situ catalytic co-pyrolysis of yellow poplar and high-density polyethylene over mesoporous catalysts
    Rezaei, Pouya Sirous
    Oh, Daejun
    Hong, Yeojin
    Kim, Young-Min
    Jae, Jungho
    Jung, Sang-Chul
    Jeon, Jong-Ki
    Park, Young-Kwon
    ENERGY CONVERSION AND MANAGEMENT, 2017, 151 : 116 - 122
  • [4] Insight into co-pyrolysis interactions of Pingshuo coal and high-density polyethylene via in-situ Py-TOF-MS and EPR
    Wu, Yunfei
    Zhu, Jialong
    Wang, Yiming
    Yang, He
    Jin, Lijun
    Hu, Haoquan
    FUEL, 2021, 303 (303)
  • [5] Prediction of high-density polyethylene pyrolysis using kinetic parameters based on thermogravimetric and artificial neural networks
    Yin Xiaoxiao
    Tao Junyu
    Chen Guanyi
    Yao Xilei
    Luan Pengpeng
    Cheng Zhanjun
    Li Ning
    Zhou Zhongyue
    Yan Beibei
    Frontiers of Environmental Science & Engineering, 2023, 17 (01)
  • [6] Prediction of high-density polyethylene pyrolysis using kinetic parameters based on thermogravimetric and artificial neural networks
    Xiaoxiao Yin
    Junyu Tao
    Guanyi Chen
    Xilei Yao
    Pengpeng Luan
    Zhanjun Cheng
    Ning Li
    Zhongyue Zhou
    Beibei Yan
    Frontiers of Environmental Science & Engineering, 2023, 17
  • [7] Prediction of high-density polyethylene pyrolysis using kinetic parameters based on thermogravimetric and artificial neural networks
    Yin, Xiaoxiao
    Tao, Junyu
    Chen, Guanyi
    Yao, Xilei
    Luan, Pengpeng
    Cheng, Zhanjun
    Li, Ning
    Zhou, Zhongyue
    Yan, Beibei
    FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING, 2023, 17 (01)
  • [8] In Situ and Ex Situ Catalytic Co-pyrolysis of Lignocellulosic Biomass and Plastics (Low-Density and High-Density Polyethylene) Using Spent FCC Catalyst
    Praveen Kumar Kanduri
    Srinivas Seethamraju
    Waste and Biomass Valorization, 2023, 14 : 1737 - 1751
  • [9] In Situ and Ex Situ Catalytic Co-pyrolysis of Lignocellulosic Biomass and Plastics (Low-Density and High-Density Polyethylene) Using Spent FCC Catalyst
    Kanduri, Praveen Kumar
    Seethamraju, Srinivas
    WASTE AND BIOMASS VALORIZATION, 2023, 14 (05) : 1737 - 1751
  • [10] Enhancing hydrocarbon production via ex-situ catalytic co-pyrolysis of biomass and high-density polyethylene: Study of synergistic effect and aromatics selectivity
    He, Tengfei
    Zhong, Siying
    Liu, Chenhao
    Shujaa, Awsan
    Zhang, Bo
    WASTE MANAGEMENT, 2021, 128 : 189 - 199