Modification Research on the Tube Layout of One 300MW Unit Condenser

2013 ◽  
Vol 860-863 ◽  
pp. 1436-1440
Author(s):  
Qi Cheng ◽  
Li Zhang ◽  
Yin Jun Wu
Keyword(s):  
Numerical Simulation ◽  
Power Plant ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Normal Operation ◽  
Auxiliary Equipment ◽  
Before And After ◽  
Important Means ◽  
Low Efficiency ◽  
Operating Unit

In the thermal power plant, as an important auxiliary equipment of turbine, the condenser plays an important role in the normal operation of power plant. At present, the domestic operating unit has a large number of old condenses, which has low efficiency and emerging problems because of the increasing running time. Therefore, the transformation of old condenser becomes an important means to tap the potential of the old unit. In this paper, we transform one 300MW unit condenser with its tube layout, then through the numerical simulation and date analysis of the condenser before and after transformation to explore the possibility of modification.

scholarly journals EXERGY ANALYSIS ON THERMAL POWER PLANT PT. MAKASSAR TENE USING CYCLE-TEMPO 5

2019 ◽  
Vol 16 (2) ◽  
pp. 178
Author(s):  
La Ode Musa ◽  
Apollo Apollo ◽  
Aini Syahrunnisa ◽  
Muhammad Yusuf
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
System Modeling ◽  
Thermal Power ◽  
The State ◽  
Input Device ◽  
Analysis Tool ◽  
Plant System ◽  
Before And After ◽  
Exergy Losses

Analyzing exergy on the power plant generating system specially at PLTU, efficient utilization of energy resources can be obtained particularly since it leads efforts to reduce energy waste that already exists.The purposes of this research are to get the Thermal Power Plant system modeling of PT. Makassar Tene, to get the value of modeled exergy power plant system, to get exergy losses, to get the amount exergy efficiency and to get the cost of exergy losses.The research method was firstly, designing the Power Plant generating systems PT. Makassar Tene using Cycle-Tempo 5 as thermodynamic analysis tool. Results of calculations were then used to calculate the exergy profile.Exergy values analyzed on a system modeled Power Plant consists of turbine components, condensers and pump. Boilers are not included in the analysis because of the input device is not contained and the mass flow rate of the boiler occurs steady state in which the state of the same process with the state of the environment so that there is no exergy difference that can be utilized.The highest exergy losses based on the modelling was on the turbine components that was 10201.50 kW. This was due to the change in the vapor phase into the liquid phase contained in the component before and after leaving the turbine components. While the lowest exergy losses was on the pump component, that was 437.18 kW.The higher the efficiency value of a component, the better its performance is. The highest efficiency value of exergy that was 51.43% contained on the turbine components. While the lowest efficiency value of exergy was 0%.

Numerical simulation of single spiral heat storage tank for solar thermal power plant

2017 ◽  
Vol 42 (29) ◽  
pp. 18240-18245 ◽  
Author(s):  
Qianjun Mao ◽  
Ting Zheng ◽  
Donghua Liu ◽  
Liya Zhang ◽  
Ming Xie
Keyword(s):  
Numerical Simulation ◽  
Power Plant ◽  
Thermal Power Plant ◽  
Storage Tank ◽  
Heat Storage ◽  
Thermal Power ◽  
Solar Thermal ◽  
Solar Thermal Power

scholarly journals An Adaptive Early Fault Detection Model of Induced Draft Fans Based on Multivariate State Estimation Technique

2021 ◽  
Author(s):  
Ruijun Guo ◽  
Guobin Zhang ◽  
Qian Zhang ◽  
Lei Zhou ◽  
Haicun Yu ◽  
...  
Keyword(s):  
Power Plant ◽  
Fault Detection ◽  
State Estimation ◽  
Thermal Power ◽  
Adaptive Strategy ◽  
Normal Operation ◽  
Efficient Production ◽  
Estimation Technique ◽  
Auxiliary Equipment ◽  
Early Fault Detection

The induced draft (ID) fan is important auxiliary equipment in the thermal power plant. It is of great significance to monitor the operation of the ID fan for safe and efficient production. In this paper, an adaptive warning model is proposed to detect early faults of ID fans. First, a non-parametric monitoring model is constructed to describe the normal operation states with the multivariate state estimation technique (MSET). Then, an early warning approach is presented to identify abnormal behaviors based on the results of the MSET model. As the performance of the MSET model is heavily influenced by the normal operation data in the historic memory matrix, an adaptive strategy is proposed by using the samples with a high data quality index (DQI) to manage the memory matrix and update the model. The proposed method is applied to a 300 MW coal-fired power plant for early fault detection, and it is compared with the model without an update. Results show that the proposed method can detect the fault earlier and more accurately.

scholarly journals Improvement of environmental aspects of thermal power plant operation by advanced control concepts

2012 ◽  
Vol 16 (3) ◽  
pp. 759-772 ◽  
Author(s):  
Robert Mikulandric ◽  
Drazen Loncar ◽  
Dejan Cvetinovic ◽  
Gabriel Spiridon ◽  
Daniel Schneider
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Power Plants ◽  
Thermal Power ◽  
Thermal Power Plants ◽  
Environmental Aspects ◽  
Advanced Control ◽  
Low Efficiency ◽  
And Control ◽  
Plant Components

The necessity of the reduction of greenhouse gas emissions, as formulated in the Kyoto Protocol, imposes the need for improving environmental aspects of existing thermal power plants operation. Improvements can be reached either by efficiency increment or by implementation of emission reduction measures. Investments in refurbishment of existing plant components or in plant upgrading by flue gas desulphurization, by primary and secondary measures of nitrogen oxides reduction, or by biomass co-firing, are usually accompanied by modernisation of thermal power plant instrumentation and control system including sensors, equipment diagnostics and advanced controls. Impact of advanced control solutions implementation depends on technical characteristics and status of existing instrumentation and control systems as well as on design characteristics and actual conditions of installed plant components. Evaluation of adequacy of implementation of advanced control concepts is especially important in Western Balkan region where thermal power plants portfolio is rather diversified in terms of size, type and commissioning year and where generally poor maintenance and lack of investments in power generation sector resulted in high greenhouse gases emissions and low efficiency of plants in operation. This paper is intended to present possibilities of implementation of advanced control concepts, and particularly those based on artificial intelligence, in selected thermal power plants in order to increase plant efficiency and to lower pollutants emissions and to comply with environmental quality standards prescribed in large combustion plant directive.

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