scholarly journals Calculation of Exergy Destruction of Various Components by Performing Exergy Analysis on Stage-I of Dr. Narla Tatarao Thermal Power Station (N.T.T.P.S)

For any nation to develop power generation plays a crucial role. The performance of a power plant is analyzed by using the Energy balance and it is done by using the first law of thermodynamics. But to know how much energy is being utilized in reality exergy analysis has to be performed which is also called as second law of thermodynamic analysis because the vital parameter quality is being considered in the exergy analysis. this paper deals with the exergy destruction calculation by performing exergy analysis for various components for a 210 mw plant of Vijayawada thermal power station(stage-1 unit-1) and from the analysis it is clear that exergy destruction is more in condenser

Author(s):  
Fahad S. Al-Mubaddel ◽  
Abhijit Dutta ◽  
Himadri Chattopadhyay ◽  
Abdullah M. Abusorrah ◽  
Mamdouh El Haj Assad ◽  
...  

1988 ◽  
Vol 110 (2) ◽  
pp. 166-172 ◽  
Author(s):  
E. Yasni ◽  
C. G. Carrington

A second-law state analysis procedure, having on-line capability, has been implemented at a fossil-fueled power station at Huntly, N.Z. The analysis fully integrates the combustion and steam processes in order to provide a viable understanding of the influence of operating parameters on the distribution of losses within the plant. The procedures do not rely significantly on manufacturer’s performance data and the validity of the audit is substantially verifiable. Examples of audit data are presented, including operation with and without the top heater and a comparison of throttle and sliding pressure control.


Author(s):  
Gabriel Nicolae Popa ◽  
Cristian Abrudean ◽  
Sorin Ioan Deaconu ◽  
Iosif Popa ◽  
Victor Vaida

1994 ◽  
Vol 35 (7) ◽  
pp. 597-603
Author(s):  
Shail ◽  
M.S. Sodha ◽  
Ram Chandra ◽  
B. Pitchumani ◽  
J. Sharma

2017 ◽  
Vol 14 (10) ◽  
pp. 839-844 ◽  
Author(s):  
Mohamed Kaddari ◽  
Mahmoud El Mouden ◽  
Abdelowahed Hajjaji

2021 ◽  
Vol 25 (4 Part B) ◽  
pp. 2965-2973
Author(s):  
Min Cao

To solve the mismatch between heating quantity and demand of thermal stations, an optimized control method based on depth deterministic strategy gradient was proposed in this paper. In this paper, long short-time memory deep learning algorithm is used to model the thermal power station, and then the depth deterministic strategy gradient control algorithm is used to solve the water supply flow sequence of the primary side of the thermal power station in combination with the operation mechanism of the central heating system. In this paper, a large number of historical working condition data of a thermal station are used to carry out simulation experiment, and the results show that the method is effective, which can realize the on-demand heating of the thermal station a certain extent and improve the utilization rate of heat.


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