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

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Ai, Zejian;Zhang, Weijin;Yang, Lihong;Chen, Hong;Xu, Zhengyong;...

通讯作者：

Lijian Leng<&wdkj&>Hailong Li

作者机构：

[Ai, Zejian; Li, Hailong; Yang, Lihong; Leng, Lijian; Zhang, Weijin] Cent South Univ, Sch Energy Sci & Engn, Changsha 410083, Peoples R China.

[Chen, Hong] Changsha Univ Sci & Technol, Sch Hydraul Engn, Key Lab Dongting Lake Aquat Ecoenvironm Control &, Changsha 410004, Peoples R China.

[Xu, Zhengyong] Hunan Modern Environm Technol Co LTD, Changsha 410000, Peoples R China.

通讯机构：

[Lijian Leng; Hailong Li] S

School of Energy Science and Engineering, Central South University, Changsha 410083, China

语种：

英文

关键词：

Oily sludge;High -density polyethylene;Co -pyrolysis;Synergistic effect;Activation energy;Artificial neural network

期刊：

Journal of Analytical and Applied Pyrolysis

ISSN：

0165-2370

年：

2022

卷：

166

页码：

105610

DOI：

10.1016/j.jaap.2022.105610

基金类别：

CRediT authorship contribution statement Zejian Ai: Writing – original draft, Data curation, Methodology. Weijin Zhang: Investigation, Software, Writing – review & editing. Lihong Yang: Visualization. Hong Chen: Formal analysis. Zhengyong Xu: Validation. Lijian Leng: Supervision, Conceptualization, Writing – review & editing. Hailong Li: acquisition.

机构署名：

本校为其他机构

院系归属：

水利工程学院

摘要：

Oily sludge (OS), a hazardous waste produced in a large amount in petroleum industries, has raised great interest in research, and thermal treatment method such as pyrolysis is promising to achieve the goal. This research studied the pyrolysis behavior during co-pyrolysis of OS and high-density polyethylene (HDPE, plastic waste model component) with different blend ratios. The changes of functional groups against pyrolysis temperature were detected via in-situ diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS). The interactive effect between the two feedstocks during co-pyrol...

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

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