DOI: 10.1016/j.watres.2018.02.059
Scopus记录号: 2-s2.0-85042874908
论文题名: Role of regression analysis and variation of rheological data in calculation of pressure drop for sludge pipelines
作者: Farno E. ; Coventry K. ; Slatter P. ; Eshtiaghi N.
刊名: Water Research
ISSN: 431354
出版年: 2018
卷: 137 起始页码: 1
结束页码: 8
语种: 英语
Scopus关键词: Drops
; Environmental impact
; Pipe flow
; Pressure drop
; Wastewater treatment
; CO2 emissions
; Electricity-consumption
; Flow theories
; Model estimation
; Natural variation
; Regression method
; Rheological data
; Wastewater treatment plants
; Regression analysis
; carbon dioxide
; carbon emission
; electricity
; environmental impact
; numerical model
; pipe flow
; pump
; regression analysis
; rheology
; wastewater treatment plant
; algorithm
; Article
; carbon footprint
; flow kinetics
; measurement error
; pressure
; priority journal
; probability
; regression analysis
; sensitivity analysis
; shear rate
; shear stress
; sludge
; waste water treatment plant
; devices
; flow kinetics
; pressure
; procedures
; sewage
; theoretical model
; waste water
; Models, Theoretical
; Pressure
; Regression Analysis
; Rheology
; Sewage
; Waste Disposal, Fluid
; Waste Water
英文摘要: Sludge pumps in wastewater treatment plants are often oversized due to uncertainty in calculation of pressure drop. This issue costs millions of dollars for industry to purchase and operate the oversized pumps. Besides costs, higher electricity consumption is associated with extra CO2 emission which creates huge environmental impacts. Calculation of pressure drop via current pipe flow theory requires model estimation of flow curve data which depends on regression analysis and also varies with natural variation of rheological data. This study investigates impact of variation of rheological data and regression analysis on variation of pressure drop calculated via current pipe flow theories. Results compare the variation of calculated pressure drop between different models and regression methods and suggest on the suitability of each method. © 2018 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/112809
Appears in Collections: 气候减缓与适应
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作者单位: Chemical and Environmental Engineering, School of Engineering, RMIT UniversityVIC 3000, Australia; Melbourne Water, Docklands, VIC 3008, Australia; ATC Williams, 1141 Hay StWA 6005, Australia
Recommended Citation:
Farno E.,Coventry K.,Slatter P.,et al. Role of regression analysis and variation of rheological data in calculation of pressure drop for sludge pipelines[J]. Water Research,2018-01-01,137