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作者:

Ping, Xu (Ping, Xu.) | Yang, Fubin (Yang, Fubin.) | Zhang, Hongguang (Zhang, Hongguang.) | Xing, Chengda (Xing, Chengda.) | Pan, Yachao (Pan, Yachao.) | Yang, Hailong (Yang, Hailong.) | Wang, Yan (Wang, Yan.)

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EI Scopus SCIE

摘要:

Organic Rankine cycle (ORC) synergistic multi-objective optimization is the key to obtain the actual waste heat recovery potential under dynamic driving cycle. The ORC operation shows uncertainty and hysteresis under the disturbance of variable high temperature waste heat source. In this paper, a synergistic multi-objective opti-mization mixed nonlinear dynamic modeling approach is proposed by deeply integrating data selection, feature dimensionality reduction, integrated system, neural network modeling mechanism, ensemble learning mecha-nism and synergistic multi-objective optimization. Compared with direct modeling, the nonlinear dynamic modeling approach can reduce the data volume by 27.65 % on average. The decision variables and construction time are reduced at least by 69.1 % and 24.26 % on average, respectively. Generalization ability is improved by at least 28.14 % on average. Taking thermodynamic performance, economic performance, thermoeconomic performance and environmental impact as optimization objectives, a synergistic multi-objective optimization of ORC comprehensive performance under driving cycle is carried out. The optimal emissions of CO2 equivalent (ECE) will suppress the optimal power output of per unit heat transfer area (POPA) to a certain extent. A decrease in optimal ECE is accompanied by an increase in optimal electricity production cost. The approach proposed in this paper can provide new ideas and solutions for ORC dynamic modeling and synergistic multi-objective optimization under road conditions.

关键词:

Organic Rankine cycle Dynamic driving cycle Nonlinear model construction Multi -objective optimization Vehicle engine

作者机构:

  • [ 1 ] [Ping, Xu]Beijing Univ Technol, Fac Environm & Life, Key Lab Enhanced Heat Transfer & Energy Conservat, MOE,Beijing Key Lab Heat Transfer & Energy Convers, Beijing 100124, Peoples R China
  • [ 2 ] [Yang, Fubin]Beijing Univ Technol, Fac Environm & Life, Key Lab Enhanced Heat Transfer & Energy Conservat, MOE,Beijing Key Lab Heat Transfer & Energy Convers, Beijing 100124, Peoples R China
  • [ 3 ] [Zhang, Hongguang]Beijing Univ Technol, Fac Environm & Life, Key Lab Enhanced Heat Transfer & Energy Conservat, MOE,Beijing Key Lab Heat Transfer & Energy Convers, Beijing 100124, Peoples R China
  • [ 4 ] [Xing, Chengda]Beijing Univ Technol, Fac Environm & Life, Key Lab Enhanced Heat Transfer & Energy Conservat, MOE,Beijing Key Lab Heat Transfer & Energy Convers, Beijing 100124, Peoples R China
  • [ 5 ] [Pan, Yachao]Beijing Univ Technol, Fac Environm & Life, Key Lab Enhanced Heat Transfer & Energy Conservat, MOE,Beijing Key Lab Heat Transfer & Energy Convers, Beijing 100124, Peoples R China
  • [ 6 ] [Yang, Hailong]Beijing Univ Technol, Fac Environm & Life, Key Lab Enhanced Heat Transfer & Energy Conservat, MOE,Beijing Key Lab Heat Transfer & Energy Convers, Beijing 100124, Peoples R China
  • [ 7 ] [Wang, Yan]Beijing Univ Technol, Fac Environm & Life, Key Lab Enhanced Heat Transfer & Energy Conservat, MOE,Beijing Key Lab Heat Transfer & Energy Convers, Beijing 100124, Peoples R China

通讯作者信息:

  • [Yang, Fubin]Beijing Univ Technol, Fac Environm & Life, Key Lab Enhanced Heat Transfer & Energy Conservat, MOE,Beijing Key Lab Heat Transfer & Energy Convers, Beijing 100124, Peoples R China;;

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来源 :

APPLIED THERMAL ENGINEERING

ISSN: 1359-4311

年份: 2023

卷: 228

6 . 4 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:19

被引次数:

WoS核心集被引频次: 14

SCOPUS被引频次: 13

ESI高被引论文在榜: 0 展开所有

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