An investigation on data mining and operating optimization for wet flue gas desulfurization systems

•The optimal target database of operating conditions for WFGD was investigated.•An improved fuzzy clustering (IFC) algorithm was proposed for data clustering.•L-G ratio, pH and slurry density were obtained to minimize unit SO2 removal cost.•An overall continuous optimal operation database was establ...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Fuel (Guildford) Ročník 258; s. 116178
Hlavní autoři:	Qiao, Zongliang, Wang, Xingchao, Gu, Hui, Tang, Youfei, Si, Fengqi, Romero, Carlos E., Yao, XueZhong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Kidlington Elsevier Ltd 15.12.2019 Elsevier BV
Témata:	Air pollution control Algorithms Clustering Criteria Data mining Desulfurization Desulfurizing Electric power generation Entropy (Information theory) Evaluation Flue gas Flue gas desulfurization Improved fuzzy clustering algorithm Information processing Initial conditions Minimum cost Objective function Online Optimal target operating condition database Optimization Pollution control equipment Power plants Slurries Sulfur dioxide Unit loads Optimal target operating condition database Online Data mining Improved fuzzy clustering algorithm
ISSN:	0016-2361, 1873-7153
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!