Optimum selection of ORC working fluid using multi-level fuzzy optimization and non-structural fuzzy decision

Junjun Xu; Xianglong Luo; Yongzhen Wang; Qiannan Zhu; Ying Chen; Songping Mo; Hongyu Huang

doi:10.11949/j.issn.0438-1157.20140855

Optimum selection of ORC working fluid using multi-level fuzzy optimization and non-structural fuzzy decision

Junjun Xu
, Xianglong Luo^*
, Yongzhen Wang
, Qiannan Zhu
, Ying Chen
, Songping Mo
, Hongyu Huang

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

Selection of working fluid is one of the key issues in the organic Rankine cycle (ORC) waste-heat power generation technology. Multi-criteria methods for working fluid selection are urgent to be studied. Existing researches are mostly under the constraints of specific thermodynamic and structural conditions. Contradictory findings exist in many studies, because there is no general optimization method for ORC working fluid selection. A method using multi-level fuzzy optimization and non-structural fuzzy decision was developed to solve the problem. Comprehensive considerations of technical, economic performance and environmental protection of ORC systems are presented. Since the factors that influence ORC working fluid selection are multi-level and non-structural, establishment of a three-level fuzzy optimization model to obtain a more satisfactory result is preferable.

Original language	English
Pages (from-to)	1051-1058
Number of pages	8
Journal	Huagong Xuebao/CIESC Journal
Volume	66
Issue number	3
DOIs	https://doi.org/10.11949/j.issn.0438-1157.20140855
Publication status	Published - 1 Mar 2015
Externally published	Yes

Keywords

Model
Multilevel fuzzy optimization
Non-structural fuzzy decision
ORC
Optimal design
Process systems
Working fluid selection

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10.11949/j.issn.0438-1157.20140855

Cite this

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title = "Optimum selection of ORC working fluid using multi-level fuzzy optimization and non-structural fuzzy decision",

abstract = "Selection of working fluid is one of the key issues in the organic Rankine cycle (ORC) waste-heat power generation technology. Multi-criteria methods for working fluid selection are urgent to be studied. Existing researches are mostly under the constraints of specific thermodynamic and structural conditions. Contradictory findings exist in many studies, because there is no general optimization method for ORC working fluid selection. A method using multi-level fuzzy optimization and non-structural fuzzy decision was developed to solve the problem. Comprehensive considerations of technical, economic performance and environmental protection of ORC systems are presented. Since the factors that influence ORC working fluid selection are multi-level and non-structural, establishment of a three-level fuzzy optimization model to obtain a more satisfactory result is preferable.",

keywords = "Model, Multilevel fuzzy optimization, Non-structural fuzzy decision, ORC, Optimal design, Process systems, Working fluid selection",

author = "Junjun Xu and Xianglong Luo and Yongzhen Wang and Qiannan Zhu and Ying Chen and Songping Mo and Hongyu Huang",

year = "2015",

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doi = "10.11949/j.issn.0438-1157.20140855",

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pages = "1051--1058",

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TY - JOUR

T1 - Optimum selection of ORC working fluid using multi-level fuzzy optimization and non-structural fuzzy decision

AU - Xu, Junjun

AU - Luo, Xianglong

AU - Wang, Yongzhen

AU - Zhu, Qiannan

AU - Chen, Ying

AU - Mo, Songping

AU - Huang, Hongyu

PY - 2015/3/1

Y1 - 2015/3/1

N2 - Selection of working fluid is one of the key issues in the organic Rankine cycle (ORC) waste-heat power generation technology. Multi-criteria methods for working fluid selection are urgent to be studied. Existing researches are mostly under the constraints of specific thermodynamic and structural conditions. Contradictory findings exist in many studies, because there is no general optimization method for ORC working fluid selection. A method using multi-level fuzzy optimization and non-structural fuzzy decision was developed to solve the problem. Comprehensive considerations of technical, economic performance and environmental protection of ORC systems are presented. Since the factors that influence ORC working fluid selection are multi-level and non-structural, establishment of a three-level fuzzy optimization model to obtain a more satisfactory result is preferable.

AB - Selection of working fluid is one of the key issues in the organic Rankine cycle (ORC) waste-heat power generation technology. Multi-criteria methods for working fluid selection are urgent to be studied. Existing researches are mostly under the constraints of specific thermodynamic and structural conditions. Contradictory findings exist in many studies, because there is no general optimization method for ORC working fluid selection. A method using multi-level fuzzy optimization and non-structural fuzzy decision was developed to solve the problem. Comprehensive considerations of technical, economic performance and environmental protection of ORC systems are presented. Since the factors that influence ORC working fluid selection are multi-level and non-structural, establishment of a three-level fuzzy optimization model to obtain a more satisfactory result is preferable.

KW - Model

KW - Multilevel fuzzy optimization

KW - Non-structural fuzzy decision

KW - ORC

KW - Optimal design

KW - Process systems

KW - Working fluid selection

UR - https://www.scopus.com/pages/publications/85050579437

U2 - 10.11949/j.issn.0438-1157.20140855

DO - 10.11949/j.issn.0438-1157.20140855

M3 - Article

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SN - 0438-1157

VL - 66

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JF - Huagong Xuebao/CIESC Journal

IS - 3

ER -

Optimum selection of ORC working fluid using multi-level fuzzy optimization and non-structural fuzzy decision

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Keywords

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