Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikačního výsledku
Li, Ai-Hong; Ren, Xiao-Ying; Varbanov, Petar; Liu, Zhi-Yong
Originální název
Parametric optimization of steam turbine networks by using commercial simulation software
Anglický název
Druh
Článek WoS
Originální abstrakt
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.
Anglický abstrakt
Klíčová slova
Parametric optimization; steam turbine networks; simulation software
Klíčová slova v angličtině
Autoři
Rok RIV
2023
Vydáno
01.08.2022
Nakladatel
Esevier
Místo
Amsterdam
ISSN
0263-8762
Periodikum
CHEMICAL ENGINEERING RESEARCH & DESIGN
Číslo
184
Stát
Spojené království Velké Británie a Severního Irska
Strany od
246
Strany do
255
Strany počet
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" }