scholarly journals Draft Fan Control using Fuzzy Logic in Thermal Power Plant

2019 ◽  
Vol 8 (6S) ◽  
pp. 312-316
Keyword(s):  
Fuzzy Logic ◽  
Power Plant ◽  
Thermal Power Plant ◽  
Fuzzy Logic Controller ◽  
Thermal Power ◽  
Combustion Process ◽  
Vital Role ◽  
Secondary Air ◽  
Induced Draft Fan ◽  
And Control

In a thermal power plant combustion process in the boilers plays a vital role and it has to be controlled effectively. At present, this is controlled using draft fans employed with DCS. This paper deals with the controlling process using Fuzzy logic. The goal of this task is to manage the Forced draft fan, Secondary air fan, Grid refining fan and induced draft fan in the boiler. Every one of these fans assume a significant job in controlling the temperature of the boiler during the burning (combustion) procedure. Utilizing DCS to control the temperature is mind-boggling expense and furthermore it needs a different server, a processor and a workstation to complete the procedure. In the case of software based Fuzzy logic controller, the controlling process is the cheapest and the easiest method to maintain and control

scholarly journals Draft Fan Control Using Fuzzy Logic in Thermal Power Plant

2019 ◽  
Vol 8 (6) ◽  
pp. 2207-2210
Keyword(s):  
Fuzzy Logic ◽  
Power Plant ◽  
Thermal Power Plant ◽  
Fuzzy Logic Controller ◽  
Thermal Power ◽  
Combustion Process ◽  
Vital Role ◽  
Secondary Air ◽  
Induced Draft Fan ◽  
And Control

In a thermal power plant combustion process in the boilers plays a vital role and it has to be controlled effectively. At present, this is controlled using draft fans employed with DCS. This paper deals with the controlling process using Fuzzy logic. The goal of this task is to manage the Forced draft fan, Secondary air fan, Grid refining fan and induced draft fan in the boiler. Every one of these fans assumes a significant job in controlling the temperature of the boiler during the burning (combustion) procedure. Utilizing DCS to control the temperature is mind-boggling expense and furthermore it needs a different server, a processor and a workstation to complete the procedure. In the case of software based Fuzzy logic controller, the controlling process is the cheapest and the easiest method to maintain and control.

Deriving the hierarchical relationship of factors of fly ash handling

2018 ◽  
Vol 29 (3) ◽  
pp. 444-455 ◽  
Author(s):  
Sushil ◽  
Surya Prakash Singh ◽  
Aarti Singh
Keyword(s):  
Fly Ash ◽  
Power Plant ◽  
Conceptual Framework ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Vital Role ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Handling Technique ◽  
Relationship Of

Purpose The purpose of this paper is to develop a conceptual framework of fly ash (FA) handling by using the total interpretive structural modeling (TISM) technique in the Indian context. Design/methodology/approach The conceptual framework of the FA handling technique has been developed by using the TISM technique, where the FA handling factors have been identified from literature and verified by experts. Findings The conceptual framework of FA handling technique developed by using TISM contributes to the development of FA handling hierarchy. The framework identifies that there are 12 important factors which play a vital role in FA handling. The conceptual model indicates that particle size distribution derives FA handling technology. Research limitations/implications This study identified important factors for FA handling and it has implication for both organizations and policy makers. This study delivers the factors which play an important role in handling FA in a thermal power plant. This study highlights important linkages essential for the expansion of FA handling technologies and policies. Originality/value This study is unique in itself as it studies the FA handling factors through the qualitative modeling technique and has made its contribution in FA handling by providing the conceptual framework for managing FA in the thermal power plant.

Nonlinear separation modeling and control of a boiler system by use of actual data of a thermal power plant

2003 ◽  
Vol 144 (4) ◽  
pp. 53-62
Author(s):  
Masatoshi Nakamura ◽  
Taisuke Yoshikai ◽  
Satoru Goto ◽  
Shiro Matsumura
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Actual Data ◽  
Modeling And Control ◽  
Nonlinear Separation ◽  
And Control
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