Application of Continuous Indentation Technique in Thermal Power Plant

2007 ◽  
Vol 26-28 ◽  
pp. 1149-1152
Author(s):  
Doo Song Gil ◽  
Yeon Shik Ahn ◽  
Sang Ki Park
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Indentation Technique ◽  
Stiffness Evaluation ◽  
Reheat Steam ◽  
Main Steam ◽  
Continuous Indentation ◽  
Steam Pipes ◽  
Service Inspection

Reliability evaluation of the welded structure is divided by method concentrating on defect and mechanical property. Thermal power plant facilities are operated in high temperature, high pressure and called for safety guarantee. Three factors are constituted for this. The First is PSI(pre-service inspection) and the second is ISI(in-service inspection) and the third is quantitative analysis in safety. Main steam and hot reheat steam pipes in thermal power plant are frequently making a trouble because of unsuitable quality control under construction. So, the suitable construction and the development of life forecast method is urgent matter. Therefore, the continuous indentation technique is interested in effective test method of pipes in power plant facilities. This strong point of the continuous indentation technique is possibility of super-precision measurement, programmed test analysis, nondestructive stiffness evaluation. This study is focused on the possibility of the continuous indentation technique application in main steam and hot reheat steam pipes for stiffness evaluation in thermal power plant facilities.

Review of Control Strategies Employing Neural Network for Main Steam Temperature Control in Thermal Power Plant

2014 ◽  
Vol 66 (2) ◽  
Author(s):  
N. A. Mazalan ◽  
A. A. Malek ◽  
Mazlan A. Wahid ◽  
M. Mailah
Keyword(s):  
Neural Network ◽  
Power Plant ◽  
Temperature Control ◽  
Pid Control ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Heat Rate ◽  
Steam Temperature ◽  
Multiple Variables ◽  
Main Steam

Main steam temperature control in thermal power plant has been a popular research subject for the past 10 years. The complexity of main steam temperature behavior which depends on multiple variables makes it one of the most challenging variables to control in thermal power plant. Furthermore, the successful control of main steam temperature ensures stable plant operation. Several studies found that excessive main steam temperature resulted overheating of boiler tubes and low main steam temperature reduce the plant heat rate and causes disturbance in other parameters. Most of the studies agrees that main steam temperature should be controlled within ±5 Deg C. Major factors that influenced the main steam temperature are load demand, main steam flow and combustion air flow. Most of the proposed solution embedded to the existing cascade PID control in order not to disturb the plant control too much. Neural network controls remains to be one of the most popular algorithm used to control main steam temperature to replace ever reliable but not so intelligent conventional PID control. Self-learning nature of neural network mean the load on the control engineer re-tuning work will be reduced. However the challenges remain for the researchers to prove that the algorithm can be practically implemented in industrial boiler control.

Residual life prediction of service exposed main steam pipe of boilers in a thermal power plant

2000 ◽  
Vol 7 (5) ◽  
pp. 359-376 ◽  
Author(s):  
A.K. Ray ◽  
Y.N. Tiwari ◽  
R.K. Sinha ◽  
S. Chaudhuri ◽  
R. Singh
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Life Prediction ◽  
Residual Life ◽  
Thermal Power ◽  
Steam Pipe ◽  
Residual Life Prediction ◽  
Main Steam

scholarly journals Analysis of Special Consequences and Losses of Equipment Accident in Thermal Power Plant

2021 ◽  
Vol 252 ◽  
pp. 02018
Author(s):  
Shuai Kong ◽  
Xuefen Yu ◽  
Zhangwei Ling ◽  
Ping Tang ◽  
Nanhui Jin
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Special Property ◽  
Calculation Model ◽  
Economic Losses ◽  
Special Equipment ◽  
Pipe Burst ◽  
Safety Accident ◽  
Main Steam

Many types of equipment in the thermal power plant has special risks. Once a safety accident occurs, it often causes special consequences and losses. The indirect losses are difficult to calculate in general due to the special property. In this paper, a calculation model was proposed, considering collateral production impact on upstream and downstream industries, the inconvenience impact on people’s electricity and gas supply, and social security panic by rapidly spreading to media and public opinion. An example of a main steam pipe burst accident in a thermal power plant was analysed. The ratio of indirect economic losses and direct economic losses was obtained. Results showed that the ratio value (35.4) was much higher than the value (4) of general industrial accident loss. The ratio value maybe even much higher if the internal medium of special equipment has strong toxic and harmful effects. It is quite important to make concerted efforts to manufacture, usage, management, inspection, safety monitoring, and scientific supervision, in order to detect and eliminate hidden dangers early and ensure the safe operation of special equipment.

Modeling of the Coal-Fired Utility Boiler in a Thermal Power Plant Based on Macro Energy Balance

2013 ◽  
Vol 732-733 ◽  
pp. 29-36 ◽  
Author(s):  
Tong Yu ◽  
Jing Qi Yuan
Keyword(s):  
Energy Balance ◽  
Power Plant ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Actual Process ◽  
Process Data ◽  
Utility Boiler ◽  
Rolling Parameter ◽  
Operation Conditions ◽  
Main Steam

A modeling method of the coal-fired utility boiler for a 300MW thermal power plant based on energy balance is presented. Key work sections of the power plant are treated as lumped parameter systems and a first-order model with time delay is used to describe the dynamic characteristic of the entire system. As model validation, comparison between model simulations and the actual process data for the energy of the main steam and hot reheated steam is given. Basically, the model is found to be able to track the output power variations of the boiler under different operation conditions. Rolling parameter identification of the model may further improve the model accuracy.

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