Study on Optimal Setting of Decomposing Furnace Temperature Based on Soft Measurement

2017 ◽  
pp. 513-521
Author(s):  
Hong Liang Yu ◽  
Guo Dong Lian ◽  
Xiao Hong Wang
Keyword(s):  
Furnace Temperature ◽  
Soft Measurement ◽  
Optimal Setting

Furnace Temperature Optimal Setting of the Dispersal Reversing Furnace

2014 ◽  
Vol 692 ◽  
pp. 411-415
Author(s):  
Hui Cheng Jing ◽  
Xiao Qing Liu
Keyword(s):  
Optimal Allocation ◽  
Longitudinal Direction ◽  
Mechanism Analysis ◽  
Furnace Temperature ◽  
Cross Sectional ◽  
Discrete State ◽  
Object Use ◽  
Optimal Setting ◽  
Steady State Heat ◽  
Tolerance Method

This paper is based on the heating furnace of Zhao-feng Steel Works, Chengde, and according to the characteristics of the research object, use the method that the mechanism analysis combining with the discrete state space method to build billet one-dimensional mathematical model of steady-state heat conduction. Setting up the objective function of the minimum fuel consumption, taking billet baked surface temperature, the maximum cross-sectional temperature, heating rate and furnace temperature settings as constraints obtained and using a variable tolerance method to obtain the furnace temperature settings for each segment. When the output is constant, the optimal allocation of heat load along the longitudinal direction can be obtained by this model, which has a good guidance for the actual production.

Statistical Analysis of Operation Data and Automatic Control on Fluidized Bed Incineration Plant with Dryer

1993 ◽  
Vol 28 (11-12) ◽  
pp. 341-345
Author(s):  
Shigeki Minami ◽  
Hidekazu Nagasawa ◽  
Yoshinori Saito ◽  
Motoharu Yamagishi ◽  
Masakatsu Hiraoka ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Fluidized Bed ◽  
Fuzzy Theory ◽  
Exhaust Gas ◽  
Furnace Temperature ◽  
Incineration Plant ◽  
Commercial Plant ◽  
Dried Sludge ◽  
Fluidized Bed Incineration ◽  
Plant Control

Continuous operation data were obtained on a fluidized bed incineration plant with dryers, and two autoregressive models were then prepared through statistical analysis of the data. Based on the results, an automatic plant control system using fuzzy theory was designed. An incinerator system of this type is characterized by energy efficiency, for which optimum and stable moisture control of the dried sludge is important. The large difference in time constants between incinerator and dryers makes energy saving difficult. Based on these analyses and design, control operations at a commercial plant with a capacity of 150 wet-tons/day were studied. It was confirmed that reduction of auxiliary fuel consumption and reduction of CO and NOx in the exhaust gas were optimized, while the moisture content of dried sludge and the furnace temperature were kept stable.

scholarly journals PS1-23: Capitalizing on the HMO Cancer Research Network (CRN): The Optimal Setting to Conduct Studies of Rare Complex Diseases

2013 ◽  
Vol 11 (3) ◽  
pp. 128-128
Author(s):  
C. C. Johnson ◽  
C. Chao ◽  
L. Engel ◽  
H. Feigelson ◽  
J. Fortuny ◽  
...  
Keyword(s):  
Cancer Research ◽  
Complex Diseases ◽  
Research Network ◽  
Cancer Research Network ◽  
Optimal Setting

scholarly journals An International Review to Characterize the Role, Responsibilities, and Optimal Setting for Health Literacy Mediators

2021 ◽  
Vol 8 ◽  
pp. 2333794X2110254
Author(s):  
Madeline Spencer ◽  
Nenagh Kemp ◽  
Vaughan Cruickshank ◽  
Claire Otten ◽  
Rosie Nash
Keyword(s):  
Health Literacy ◽  
Literacy Development ◽  
Recent Literature ◽  
Important Determinant ◽  
Literacy Education ◽  
International Review ◽  
Optimal Setting ◽  
Role Responsibilities ◽  
The Life Course

Health literacy is a critically important determinant of health and is influenced by access to supportive social networks and services. Global investment in education throughout the life course is required to support health literacy development. The aim of this review is to characterize the role, responsibilities, and the optimal setting for the emergent role of a Health Literacy Mediator (HLM). A scoping review of recent literature was conducted. The review revealed a lack of consensus on who should be teaching health literacy, and variability in confidence when teaching health literacy. Professionals reported facing barriers such as a lack of time, a lack of knowledge, and recognized that the health literacy needs of children worldwide are not being met. Further research into the role of HLM is required to determine who is best suited to this role and what their responsibilities will be to ensure consistent health literacy education.

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