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Author:

Yang, Fufang (Yang, Fufang.) | Yang, Fubin (Yang, Fubin.) | Liu, Qiang (Liu, Qiang.) | Chu, Qingfu (Chu, Qingfu.) | Yang, Zhen (Yang, Zhen.) | Duan, Yuanyuan (Duan, Yuanyuan.)

Indexed by:

EI Scopus SCIE

Abstract:

The thermodynamic performance limits of power cycles are governed not only by the first and second law of thermodynamics, but also by the cycle configuration and working fluid properties. The organic Rankine cycle (ORC) is a promising technology for low-and-medium temperature heat utilization. This work further develops the thermodynamic performance limits analysis framework of sub-and trans-critical ORCs under realistic heat source conditions, and investigates the impact mechanism of key property parameters on system performance. Working fluid thermodynamic properties are characterized using a corresponding state model with 5 property parameters that are usually available in the early stages of system design. The property and system parameters are optimized simultaneously using a multi-objective genetic algorithm. The thermodynamic performance limits, and the optimal working fluid properties and system operation conditions are identified. The obtained limits represent the highest performance of ORC. The obtained optimal property and system parameters represent the desired working fluid and system operation characteristics. The impact mechanism of key property parameters on system performance is discussed in detail in a sensitivity analysis. It is found that the critical tem-perature is the most important property parameter, and that it changes the preference over efficiency and compactness objectives. The obtained thermodynamic performance limits, optimal parameter sets, and impact mechanism provide insights for working fluid selection in ORC research and implementation. (c) 2021 Elsevier Ltd. All rights reserved.

Keyword:

Corresponding state modeling Working fluid Thermodynamic performance limits Organic Rankine cycle Pareto front

Author Community:

  • [ 1 ] [Yang, Fufang]Tsinghua Univ, Key Lab Thermal Sci & Power Engn, Beijing Key Lab CO2 Utilizat & Reduct Technol, Minist Educ, Beijing 100084, Peoples R China
  • [ 2 ] [Yang, Fubin]Tsinghua Univ, Key Lab Thermal Sci & Power Engn, Beijing Key Lab CO2 Utilizat & Reduct Technol, Minist Educ, Beijing 100084, Peoples R China
  • [ 3 ] [Chu, Qingfu]Tsinghua Univ, Key Lab Thermal Sci & Power Engn, Beijing Key Lab CO2 Utilizat & Reduct Technol, Minist Educ, Beijing 100084, Peoples R China
  • [ 4 ] [Yang, Zhen]Tsinghua Univ, Key Lab Thermal Sci & Power Engn, Beijing Key Lab CO2 Utilizat & Reduct Technol, Minist Educ, Beijing 100084, Peoples R China
  • [ 5 ] [Duan, Yuanyuan]Tsinghua Univ, Key Lab Thermal Sci & Power Engn, Beijing Key Lab CO2 Utilizat & Reduct Technol, Minist Educ, Beijing 100084, Peoples R China
  • [ 6 ] [Yang, Fufang]Tech Univ Denmark, Ctr Energy Resources Engn CERE, Dept Chem & Biochem Engn, DK-2800 Lyngby, Denmark
  • [ 7 ] [Yang, Fubin]Beijing Univ Technol, Fac Environm & Life, Beijing 100124, Peoples R China
  • [ 8 ] [Liu, Qiang]China Univ Petr, Coll Mech & Transportat Engn, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R China

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Source :

ENERGY

ISSN: 0360-5442

Year: 2022

Volume: 241

9 . 0

JCR@2022

9 . 0 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:49

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 9

SCOPUS Cited Count: 10

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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