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Author:

Dai, Yiping (Dai, Yiping.) | Wang, Jiangfeng (Wang, Jiangfeng.) | Gao, Lin (Gao, Lin.)

Indexed by:

SCIE EI Scopus

Abstract:

Organic Rankine cycles for low grade waste heat recovery are described with different working fluids. The effects of the thermodynamic parameters on the ORC performance are examined, and the thermodynamic parameters of the ORC for each working fluid are optimized with exergy efficiency as an objective function by means of the genetic algorithm. The optimum performance of cycles with different working fluids was compared and analyzed under the same waste heat condition. The results show that the cycles with organic working fluids are much better than the cycle with water in converting low grade waste heat to useful work. The cycle with R236EA has the highest exergy efficiency, and adding an internal heat exchanger into the ORC system could not improve the performance under the given waste heat condition. In addition, for the working fluids with non-positive saturation vapor curve slope, the cycle has the best performance property with saturated vapor at the turbine inlet. (c) 2008 Published by Elsevier Ltd.

Keyword:

Exergy analysis Low grade waste heat Optimization Organic Rankine cycle

Author Community:

  • [ 1 ] [Dai, Yiping; Wang, Jiangfeng; Gao, Lin] Xi An Jiao Tong Univ, Inst Turbomachinery, Xian 710049, Peoples R China

Reprint Author's Address:

  • Xi An Jiao Tong Univ, Inst Turbomachinery, 28 Xianning W Rd, Xian 710049, Peoples R China.

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Source :

ENERGY CONVERSION AND MANAGEMENT

ISSN: 0196-8904

Year: 2009

Issue: 3

Volume: 50

Page: 576-582

1 . 9 4 4

JCR@2009

9 . 7 0 9

JCR@2020

ESI Discipline: ENGINEERING;

JCR Journal Grade:2

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 567

SCOPUS Cited Count: 736

ESI Highly Cited Papers on the List: 31 Unfold All

  • 2020-03
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  • 2019-5
  • 2019-3
  • 2019-1
  • 2018-11
  • 2018-9
  • 2018-7
  • 2018-5
  • 2018-3
  • 2018-1
  • 2017-11
  • 2017-9
  • 2017-7
  • 2017-5
  • 2017-3
  • 2017-1
  • 2016-11
  • 2016-9
  • 2016-7
  • 2016-3
  • 2016-1
  • 2015-11
  • 2015-9
  • 2015-7
  • 2015-5
  • 2015-3
  • 2014-11

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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