scholarly journals On Line Dirt Based Soot Blowing System using Fuzzy Logic for Utility Boilers

2019 ◽  
Vol 8 (2) ◽  
pp. 1669-1671
Keyword(s):  
Power Plants ◽  
Intelligent System ◽  
Thermal Power ◽  
Heating Surface ◽  
Boiler Tube ◽  
Heating Efficiency ◽  
Utility Boilers ◽  
On Line ◽  
Simulation Results ◽  
Burning Coal

Soot is a byproduct of burning coal in thermal power plants. The soot accumulates in the boilers tubes. It gradually spoils the heating surface which reduces the heating efficiency. Hence it has to be cleaned. This process is called soot blowing. The existing soot blower control system in the old boiler is composed of relays, timers and contactors which are not efficient. In order to improve the efficiency, an intelligent system is proposed which estimates the dirt in the boiler tube periodically and initiates soot blowing process to improve the thermal efficiency. Simulation results demonstrate the superiority of the proposed scheme when compared to relay logics.

scholarly journals Igniting Soaring Droplets of Promising Fuel Slurries

Energies ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 208 ◽  
Author(s):  
Alexander Bogomolov ◽  
Timur Valiullin ◽  
Ksenia Vershinina ◽  
Sergey Shevyrev ◽  
Nikita Shlegel
Keyword(s):  
Combustion Chamber ◽  
Power Plants ◽  
Alternative Fuels ◽  
Complex Geometry ◽  
Thermal Power ◽  
Combustion Chambers ◽  
Fuel Droplets ◽  
Fine Coal ◽  
Active Research ◽  
Burning Coal

High rates of environmental pollution by boilers and thermal power plants burning coal of different grades are the main reason for active research in the world aimed at the development of alternative fuels. The solution to the formulated problem acceptable in terms of environmental, technical and economic criteria is the creation of composite slurry fuels with the use of fine coal or coal processing and enrichment waste, water of different quality, and oil sludge additive. This study considers modern technologies of burning slurry fuels as well as perspective research methods of the corresponding processes. A model combustion chamber is developed for the adequate study of ignition processes. The calculation of the basic geometric dimensions is presented. The necessity of manufacturing the combustion chamber in the form of an object of complex geometry is substantiated. With its use, several typical modes of slurry fuel ignition are determined. Principal differences of ignition conditions of a single droplet and group of fuel droplets are shown. Typical vortex structures at the fuel spray injection are shown. A comparison with the trajectories of fuel aerosol droplets in real combustion chambers used for the combustion of slurry fuels is undertaken.

scholarly journals Development of an Automatic Welding System for the Boiler Tube Walls Weld Overlay

Metals ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1241
Author(s):  
Tian Songya ◽  
Adnan Saifan ◽  
Gui Pengqian ◽  
Imran Dawy ◽  
Bassiouny Saleh
Keyword(s):  
Thermal Power ◽  
Heating Surface ◽  
Welding Distortion ◽  
Chemical Components ◽  
Automatic Welding ◽  
Boiler Tube ◽  
Inference System ◽  
Weld Overlay ◽  
Welding Torch ◽  
Assembly Error

Tube walls are an essential part of the thermal power plant boiler. During the operation of the boiler, the heating surface of the tube walls are exposed to furnace particles, intense heat, and chemical components resulting from the combustion reaction. These cause corrosion and wear, which permanently collapse the tubes, and affect the reliability and performance of the boiler. Therefore, a protection layer of heat and corrosion-resistant material is typically welded on the surface of the tube walls. In this study, a dedicated weld overlay automatic system is proposed. The downward welding technique with the pulse gas metal arc welding (GMAW) process is used to accomplish the proposed approach. The system generates and plans beads sequence based on the analysis of the tube walls geometry. The inverse kinematic theory was used to calculate the coordinates and transformations of the welding torch. Then, a mathematical model for the welding torch trajectory was established. A SIMOTION controller was adapted for motion control. A weld-tracking system based on the adaptive neuro-fuzzy inference system (ANFIS) was used to solve the welding distortion and the assembly error. The experiment results show that the proposed design is efficient and reliable compared to previous methods. The degree of automation and the weld overlay quality of the boiler tube walls have been notably improved.

Comparison and Analysis for the Differential Heating Modes in the Large-Scale CHP System

2013 ◽  
Author(s):  
Zhen Xian Lin ◽  
Lin Fu
Keyword(s):  
Power Plants ◽  
Large Scale ◽  
Thermal Power ◽  
Heat Pumps ◽  
Back Pressure ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Heating Unit ◽  
Heating Efficiency ◽  
The Impact

With the process acceleration of China’s energy conservation and the full development of the market economy, the environmental protection is to coexist with the power plants’ benefits for thermal power plants. Relative to the traditional mode named “determining power by heat”, it is not adequate that the heating demand is only to be met, the maximizations of economy benefits and social benefits are also demanded. At present, several large-scale central heating modes are proposed by domestic and foreign scholars, such as the parallel arrangement and series arrangement of heating system for the traditional heating units and NCB heating units (NCB heating unit is a new condensing-extraction-backpressure steam turbine and used to generate the power and heat, it has the function of extraction heating turbine at constant power, back pressure turbine or extraction and back pressure heating turbine and extraction condensing heating turbine.), and running mode with heating units and absorbed heat pumps, and so on. Compare and analyze their heating efficiency, heating load, heating area, power generation, and the impact on the environment. The best heating mode can be found under the different boundary conditions, it can be used to instruct the further work. The energy utilization efficiency will be further improved.

The Exhaust Steam Enthalpy of Steam Turbine Cognitive Modeling Based on Simplify Evidential Regression Multi-Model

2012 ◽  
Vol 614-615 ◽  
pp. 83-88
Author(s):  
Sha Liu ◽  
Pei Hong Wang ◽  
Zhi Gang Su
Keyword(s):  
Steam Turbine ◽  
Cognitive Modeling ◽  
Power Plants ◽  
System Analysis ◽  
Thermal Power ◽  
Evidence Theory ◽  
Cognitive Model ◽  
Measurement Model ◽  
Analysis Model ◽  
On Line

The calculation of exhaust steam enthalpy for steam turbine units is an important parameter in the on-line monitoring and system analysis for thermal power plants. The cognitive modeling method for exhaust steam enthalpy based on evidence theory was studied in this paper. Take 330MW steam turbine for example, exhaust steam enthalpy samples are obtained from steam turbine variable condition analysis model, then exhaust steam enthalpy cognitive model based on simplify evidential regression multi-model is established. The error analysis shows that the accuracy of this model has higher prediction accuracy than the SVM and NW soft measurement model.

A New Method of On-Line ELD for Thermal Power Plants

1988 ◽  
Vol 21 (11) ◽  
pp. 395-401
Author(s):  
Y. Tamura ◽  
Y. Fukuyama ◽  
S. Yazawa ◽  
J. Hosaka ◽  
N. Joho ◽  
...  
Keyword(s):  
Power Plants ◽  
Thermal Power ◽  
New Method ◽  
Thermal Power Plants ◽  
On Line

Study and Application of Two-Level Optimization of Coal Blending for Power Plant Based on On-Line Coal Identification

2011 ◽  
Author(s):  
Ji Xia ◽  
Peng Peng ◽  
Cheng Zhang ◽  
Tao Yang ◽  
Gang Chen
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Thermal Power ◽  
Time Lag ◽  
Utilization Rate ◽  
Coal Blending ◽  
Sensing Model ◽  
On Line ◽  
Blended Coals ◽  
The Heat Balance

In china, many thermal power plants have to burn blended coals forced by the complexity of coal type and market tension and transportation pressure of coal purchasing. As a engineering implementation method of coal blending, “different coals grinding in different mills and then mixed burning in the furnace” has many advantages such as low investment, easy to control milling system parameters and can be optimized online, etc, compared with traditional coal blending methods. But it is limited by the number of mills and cannot achieve high-precision ratio of blending. To remedy this shortcoming, a model of two-level optimization of coal blending for the thermal power plant with direct blowing pulverizing system was established in this paper. The tradional coal blending was regarded as first step of optimization. The secondary optimization was implemented by adjusting the outputs of different mills, then the blend was changed to accurate ratio. Furthermore, since the existence of coal bunker, it made a time lag from coal discharge to combustion, meanwhile, the real-time load was unpredictable and the coal utilization rate was inconsistent of each bunker. The three reasons make it uncertain of the current coal of bunker. To identify each coal in the mill(equivalent to bunker) correctly was the basis of achieving the second blending optimization. Therefore, a soft-sensing model of coal moisture based on the heat balance equation was used to take this work. At last, a intelligent coal blending system by the two-level optimization model was developed for a power plant and achieved good results.

On-Line Monitoring System for Main Steam Piping of Power Plants

2009 ◽  
Author(s):  
Ning Wang ◽  
Zhengdong Wang ◽  
Yingqi Chen
Keyword(s):  
Power Plant ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Power Plants ◽  
Residual Life ◽  
Thermal Power ◽  
Creep Damage ◽  
Piping System ◽  
On Line ◽  
Main Steam

An on-line life prediction system is developed for remote monitoring of material aging in a main steam piping system. The stress analysis of piping system is performed by using the finite element method. A sensor network is established in the monitoring system. The creep damage is evaluated from strain gages and a relationship is given based on a database between the damage and residual life. Web technologies are used for remote monitoring to predict the residual life for every part of the piping system. This system is useful for safety assessment procedures in thermal power plant, nuclear power plant and petrochemical industries.

Sign in / Sign up

Export Citation Format

Share Document