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An integrated exergy efficiency and machine learning method for optimizing organic solid waste gasification process

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成果类型:
期刊论文
作者:
Chen, Wenni;Xiang, Xianan;Liu, Sha;Guo, Jun;Li, Tao;...
通讯作者:
Xiang, XN
作者机构:
[Chen, Wenni; Li, Tao; Wang, Bo; Xiang, Xianan; Liu, Sha; Guo, Jun; He, Chunhui] Hunan City Univ, Sch Municipal & Geomat Engn, Yiyang 413000, Hunan, Peoples R China.
[Zhou, Xuehua] Shanghai Maritime Univ, Sch Merchant Marine, Shanghai 201306, Peoples R China.
[Peng, Deyong] Chongqing Univ, Coll Energy & Power Engn, Chongqing 400044, Peoples R China.
[Deng, Zhiya] Univ Shanghai Sci & Technol, Sch Energy & Power Engn, Shanghai 200039, Peoples R China.
[Wang, Hong] Huzhou Special Equipment Inspect Ctr, Huzhou 313000, Peoples R China.
通讯机构:
[Xiang, XN ] H
Hunan City Univ, Sch Municipal & Geomat Engn, Yiyang 413000, Hunan, Peoples R China.
语种:
英文
关键词:
Gasification;Exergy efficiency;Machine learning;Process optimization;Gradient boosting decision tree
期刊:
Engineering Applications of Artificial Intelligence
ISSN:
0952-1976
年:
2025
卷:
159
页码:
111805
基金类别:
CRediT authorship contribution statement Wenni Chen: Writing – original draft, Methodology, Writing – review & editing, Software, Data curation. Xianan Xiang: Visualization, Writing – original draft, Methodology, Supervision. Sha Liu: Visualization, Methodology, acquisition. Jun Guo: Investigation, Project administration, Data curation. Tao Li: Data curation, Investigation, Software. Xuehua Zhou: Software, Data curation, Methodology. Deyong Peng: Software, Project administration, acquisition. Zhiya Deng: Funding
机构署名:
本校为第一且通讯机构
院系归属:
市政与测绘工程学院
摘要:
Organic solid waste (OSW) gasification is a critical pathway toward sustainable energy utilization. This study develops an integrated prediction model by combining exergy efficiency-based analytic hierarchy process-fuzzy comprehensive evaluation (AHP-FCE) with machine learning techniques. The model aims to select the optimal gasifier type and operational parameters based on OSW characteristics and processing capacities. Exergy efficiency derived from experimental data is used to construct AHP-FCE scores, which are then predicted using eight machine learning algorithms. Gradient boosting decisi...

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