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作者:

Yang, Fubin (Yang, Fubin.) | Cho, Heejin (Cho, Heejin.) | Zhang, Hongguang (Zhang, Hongguang.) (学者:张红光) | Zhang, Jian (Zhang, Jian.)

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EI Scopus SCIE

摘要:

In this paper, a thermoeconomic model of a dual loop organic Rankine cycle (ORC) system has been developed to analyze both the thermodynamic and economic performance of several working fluid groups for the purpose of compressed natural gas (CNG) engine waste heat recovery. The effects of six key parameters on the thermoeconomic indicators of the dual loop ORC system are investigated. Furthermore, a multi-objective genetic algorithm (GA) is employed to solve the Pareto optimal solutions from the viewpoints of maximizing net power output and minimizing total investment post over the whole operating range of the CNG engine. The most suitable working fluid group is screened out, then the optimal parameter regions are determined. The results show that a higher evaporation pressure and a lower condensation temperature exhibit a positive effect on the thermoeconomic performances of the dual loop ORC system while the effects of variation in superheat degree and exhaust outlet temperature on the thermoeconomic performances are not obvious. The optimal evaporation pressure of the high temperature loop ORC (HT cycle) is always above 2.5 MPa. The optimal condensation temperature of the HT cycle, optimal evaporation temperature and condensation temperature of the low temperature loop ORC (LT cycle) are all kept almost constants. In addition, the optimal exhaust outlet temperature is mainly influenced by the engine speed. At the rated condition, the dual loop ORC system has the maximum net power output of 23.62 kW and the minimum electricity production cost (EPC) of 0.41 $/kW h. The thermal efficiency of the dual loop ORC system is in the range of 8.97-10.19% over the whole operating range.

关键词:

CNG engine Dual loop organic Rankine cycle Multi-objective optimization Thermoeconomic analysis Waste heat recovery

作者机构:

  • [ 1 ] [Yang, Fubin]Beijing Univ Technol, Coll Environm & Energy Engn, Pingleyuan 100, Beijing 100124, Peoples R China
  • [ 2 ] [Zhang, Hongguang]Beijing Univ Technol, Coll Environm & Energy Engn, Pingleyuan 100, Beijing 100124, Peoples R China
  • [ 3 ] [Yang, Fubin]Mississippi State Univ, Dept Mech Engn, 210 Carpenter Engn Bldg,POB 9552, Mississippi State, MS 39762 USA
  • [ 4 ] [Cho, Heejin]Mississippi State Univ, Dept Mech Engn, 210 Carpenter Engn Bldg,POB 9552, Mississippi State, MS 39762 USA
  • [ 5 ] [Zhang, Jian]Mississippi State Univ, Dept Mech Engn, 210 Carpenter Engn Bldg,POB 9552, Mississippi State, MS 39762 USA
  • [ 6 ] [Yang, Fubin]Collaborat Innovat Ctr Elect Vehicles Beijing, Pingleyuan 100, Beijing 100124, Peoples R China
  • [ 7 ] [Zhang, Hongguang]Collaborat Innovat Ctr Elect Vehicles Beijing, Pingleyuan 100, Beijing 100124, Peoples R China

通讯作者信息:

  • 张红光

    [Zhang, Hongguang]Beijing Univ Technol, Coll Environm & Energy Engn, Pingleyuan 100, Beijing 100124, Peoples R China;;[Cho, Heejin]Mississippi State Univ, Dept Mech Engn, 210 Carpenter Engn Bldg,POB 9552, Mississippi State, MS 39762 USA

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来源 :

APPLIED ENERGY

ISSN: 0306-2619

年份: 2017

卷: 205

页码: 1100-1118

1 1 . 2 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:92

中科院分区:1

被引次数:

WoS核心集被引频次: 137

SCOPUS被引频次: 149

ESI高被引论文在榜: 0 展开所有

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