Publication detail

Parametric optimization of steam turbine networks by using commercial simulation software

Li, Ai-Hong Ren, Xiao-Ying Varbanov, Petar Liu, Zhi-Yong

Original Title

Parametric optimization of steam turbine networks by using commercial simulation software

Type

journal article in Web of Science

Language

English

Original Abstract

The steam turbine network can significantly affect the energy utilization efficiency of a chemical plant. The parametric optimization of steam turbine network is investigated in this paper by using Aspen Plus software. The existing steam turbine network is simulated first. Then, for minimizing the operating cost of the steam system, the network parameters including the steam production of boilers, the steam exhaust of turbines, the steam passing through let-down valves and the steam allocation among different turbines are optimized based on the "Sensitivity Analysis" tool and the proposed optimization rules. The investigation of two literature examples shows that the proposed method is simple and can provide the results comparable to those obtained by mathematical programming methods.

Keywords

Parametric optimization; steam turbine networks; simulation software

Authors

Li, Ai-Hong; Ren, Xiao-Ying; Varbanov, Petar; Liu, Zhi-Yong

Released

1. 8. 2022

Publisher

Esevier

Location

Amsterdam

ISBN

0263-8762

Periodical

CHEMICAL ENGINEERING RESEARCH & DESIGN

Number

184

State

United Kingdom of Great Britain and Northern Ireland

Pages from

246

Pages to

255

Pages count

10

URL

https://www.webofscience.com/wos/woscc/summary/0e41d00f-43af-45c9-8e7e-70b84cf3950f-6f85e65f/relevance/1

BibTex

@article{BUT182637,
  author="Li, Ai-Hong and Ren, Xiao-Ying and Varbanov, Petar and Liu, Zhi-Yong",
  title="Parametric optimization of steam turbine networks by using commercial simulation software",
  journal="CHEMICAL ENGINEERING RESEARCH & DESIGN",
  year="2022",
  number="184",
  pages="246--255",
  doi="10.1016/j.cherd.2022.06.0140263-8762",
  issn="0263-8762",
  url="https://www.webofscience.com/wos/woscc/summary/0e41d00f-43af-45c9-8e7e-70b84cf3950f-6f85e65f/relevance/1"
}