scholarly journals Analysis of operation of the condenser in a 120 MW thermal power plant

2018 ◽  
Vol 22 (1 Part B) ◽  
pp. 735-746
Author(s):  
Srdjan Milic ◽  
Milan Petrovic ◽  
Milan Banjac ◽  
Dejan Djukanovic ◽  
Srecko Nedeljkovic
Keyword(s):  
Experimental Data ◽  
Power Plant ◽  
Steam Turbine ◽  
Thermodynamic Parameters ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Heat Rate ◽  
Numerical Results ◽  
Operating Conditions ◽  
Huge Impact

The condenser plant has a huge impact on the economy of a steam turbine power plant. Deterioration of the parameters during operation could lead to a significant decrease in electrical output and to an increase in the heat rate of the thermal power plant. Detailed calculations of the performance under different operating conditions were carried out for the condenser of the Morava thermal power plant. Comprehensive testing of the condenser was carried out and experimental data were compared with the numerical results. The effects of deviations in the condenser behaviour on the main thermodynamic parameters and the overall economics of the power plant were evaluated. Guidelines for operation of condensation plants are given in the conclusion.

Numerical Study of the Dynamics of Particles Motion with Different Sizes from Coal-Based Thermal Power Plant

2019 ◽  
Vol 20 (2) ◽  
pp. 223-241 ◽  
Author(s):  
Alibek Issakhov ◽  
Ruslan Bulgakov ◽  
Yeldos Zhandaulet
Keyword(s):  
Experimental Data ◽  
Numerical Simulation ◽  
Mathematical Model ◽  
Power Plant ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Numerical Results ◽  
Simulation Results ◽  
Turbulent Models ◽  
The Mathematical Model

AbstractIn this paper, the propagation of particles with different sizes from a coal-based thermal power plant was investigated. It was found that the deterioration of the environment is due to the release of a large amount of SOx, NOx and the volatile particles of Suspended Particulate Matter and Respirable Suspended Particles matter, which cause human and animal diseases. This paper presents the numerical simulation results of air pollution by particles which having different sizes from thermal power plants in real sizes using a 3D model. For the adequacy of the mathematical model, a test problem was solved using different turbulent models. To assess the applicability of the mathematical model, the numerical algorithm and the choice of the optimal turbulent model, experimental data and numerical results of other authors were used. The obtained numerical simulation results are in good agreement with the experimental results and the numerical results of other authors. And to obtain more accurate numerical results for the experimental data for turbulent models ($k - \varepsilon $,$k - \omega $), there were certain corresponding boundary conditions for kinetic energy. Also, profiles of all flow characteristics were compared with and without particles and some effects of the particle on the flow were identified.

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.

scholarly journals Development of methodology and measures to ensure the reliability of energy systems equipment

2022 ◽  
Vol 23 (5) ◽  
pp. 46-55
Author(s):  
M. M. Sultanov
Keyword(s):  
Experimental Data ◽  
Power Plant ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Energy Systems ◽  
Design Calculation ◽  
Power Equipment ◽  
Experimental Data Processing ◽  
Control Actions ◽  
Plant Power

THE PURPOSE: The article presents the results of the development of a methodology for the design calculation of reliability and changes in the level of reliability of energy systems, taking into account the influence of control actions based on statistical methods of collection, analysis and models of experimental data processing.METHODS: The system analysis and generalization of experimental data on technological failures of the main equipment of thermal power plants were used in the calculation assessment.RESULTS: The objective function of controlling the reliability parameters of the thermal power plant power equipment is proposed. The approbation of the presented objective control function was performed, which showed the adequacy of the results obtained to assess the reliability of the main nodes and elements of the TPP power equipment.CONCLUSION: The results of the conducted studies show that when determining reliability indicators, it is necessary to take into account the actual technical condition of individual elements and resource-determining functional units of thermal power plant power equipment. The results obtained can be used to develop a methodology for evaluating control actions for calculating the output control parameters and a mathematical model for changing the output characteristics of TPP steam turbines in terms of heat and electric energy generation, as well as at the stage of developing design documentation for the creation of structural elements and practical recommendations in order to extend the service life of power equipment generating systems based on digital technologies.

Optimization of the Cold-End System of the 1000MW Ultra-Supercritical Units by VB

2013 ◽  
Vol 694-697 ◽  
pp. 778-781 ◽  
Author(s):  
Li Kun Zheng ◽  
Chang Chen ◽  
Dan Mei Xie ◽  
Heng Liang Zhang
Keyword(s):  
Power Plant ◽  
Steam Turbine ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Operating Mode ◽  
Direct Impact ◽  
Unit Operation ◽  
Analysis Method ◽  
Optimization Analysis ◽  
Auxiliary Power

The cold-end system of steam turbine is an important auxiliary system in thermal power plant, its operating mode has a direct impact on the output of the unit and auxiliary power. This paper uses an optimization analysis method to calculate the cold-end system of a 1000MW ultra-supercritical(USC) unit, and establishes a cold-end optimization system by using VB6.0 for a domestic ultra-supercritical unit, which provides an online guide for the operator by calculating the condenser. The results show that this system can provide some guidance for unit operation.

Numerical Study of the Discharged Heat Water Effect on the Aquatic Environment from Thermal Power Plant by using Two Water Discharged Pipes

2017 ◽  
Vol 18 (6) ◽  
pp. 469-483 ◽  
Author(s):  
Alibek Issakhov
Keyword(s):  
Power Plant ◽  
Aquatic Environment ◽  
Thermal Power Plant ◽  
Numerical Study ◽  
Water Discharge ◽  
Thermal Power ◽  
Numerical Results ◽  
Stratified Medium ◽  
Water Effect ◽  
Discharge System

AbstractThe paper presents a numerical study of the discharged heat water effect on the aquatic environment from the thermal power plant by using two water discharged pipes. It is solved by the Navier–Stokes and temperature transport equations for an incompressible fluid in a stratified medium. The aim of this study is to improve the existing water discharge system to reduce the heat load on the reservoir-cooler of the thermal power plants operation (Ekibastuz SDPP-1). In this study thermal pollution to the reservoir-cooler using only two water discharged pipes as so using the existing one and building only one additional in the eastern part of the reservoir-cooler is numerically simulated. The numerical method is based on the projection method which was approximated by the finite volume method. The numerical solution of the equation system is divided into four stages. The algorithm is parallelized on a high-performance computer. The obtained numerical results of three-dimensional stratified turbulent flow for two water discharged pipes of the thermal power plant were compared with experimental data and with numerical results for one water discharged pipe. General thermal load in the reservoir-cooler decreases comparing one water discharged pipe and revealed qualitatively and quantitatively approximately the basic laws of hydrothermal processes occurring in the reservoir-cooler can be seen that from numerical simulations where two water discharged pipes were used.

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