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

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.

On-Line Health Monitoring Research on T-Joint of Main Steam Piping

2013 ◽  
Vol 330 ◽  
pp. 549-552 ◽  
Author(s):  
J.H. Jia ◽  
H.C. Zhang ◽  
X.Y. Hu ◽  
L.P. Cai ◽  
S.T. Tu
Keyword(s):  
High Temperature ◽  
Power Plant ◽  
Residual Life ◽  
Thermal Power ◽  
Creep Damage ◽  
Piping System ◽  
Main Challenge ◽  
On Line ◽  
Main Steam ◽  
Creep Monitoring

The main challenge of long-time creep monitoring on site is a reliable sensor. In this paper, a sensing device is developed specifically for high temperature creep monitoring. And it is applied to on-line monitor the strain of material on T-joint of main steam piping. Its reliability is verified theoretically using the finite element method and experimentally by high temperature on site test. The creep damage of the T joint is evaluated basing on the creep rate sensed by the sensing device. And the residual life is predicted for the piping system using the Monkman-Grant equation. This system is useful for safety assessment procedures in thermal power plant, nuclear power plant and petrochemical industries.

Life Prediction of Service Exposed Tubes in a Boiler of a Thermal Power Plant

2003 ◽  
Vol 14 (2-3) ◽  
pp. 149-162
Author(s):  
A.K. Ray, ◽  
Y.N. Tiwari, ◽  
P.K. Roy, ◽  
G. Das, ◽  
S. Chaudhuri,
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Life Prediction ◽  
Thermal Power

Development of Compact Small Punch Creep Testing Equipment

2011 ◽  
Author(s):  
Hajime Watanabe ◽  
Akihiro Kanaya ◽  
Junichi Kusumoto ◽  
Takafumi Tsurui
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Power Plants ◽  
Residual Life ◽  
Thermal Power ◽  
Creep Property ◽  
Testing Equipment ◽  
Creep Testing ◽  
Small Punch ◽  
Life Evaluation

Japan has many aged thermal power plant facilities and some boilers in such facilities have been in operation for more than 100,000 hours, so the importance of creep residual life evaluation of components exposed to severe conditions has been increasing. Although creep residual life of such components can be evaluated by destructive methods relatively accurately, they significantly affect the component to be sampled, take a long time to carry out and are high-cost. To solve these problems, Kobe Material Testing Laboratory Co., Ltd. and Kyushu Electric Power Co., Inc. have jointly developed compact-sized and less expensive small punch creep testing equipment for accurate creep residual life evaluation. Outer dimensions of developed equipment are 660W × 335D × 807H (mm); weight is 130kg. Small punch creep test can be conducted by this testing equipment, in order to identify creep property using 8mm diameter and 0.5mm thickness specimens taken from tubes or pipes of thermal power plant facilities, and evaluate remaining life. The testing equipment is expected to improve efficiency and reduce costs to evaluate material characteristics and creep residual life for facilities in power plants and various industries.

Life Prediction of Service Exposed Tubes in a Boiler of a Thermal Power Plant

ENERGYO ◽  
2018 ◽  
Author(s):  
A.K. Ray ◽  
Y. N. Tiwari ◽  
P.K. Roy ◽  
G. Das ◽  
S. Chaudhuri
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Life Prediction ◽  
Thermal Power

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.

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