Structure and Performance of Cooling Tower

1951 ◽  
Vol 54 (391) ◽  
pp. 306-310
Author(s):  
Tsuneo KUZUOKA ◽  
Taro KATO ◽  
Toshio SHIRAI ◽  
Jinichi SANDA
Keyword(s):  
Cooling Tower ◽  
And Performance

scholarly journals Design and Performance Analysis of a Cooling Tower in Sulfuric Acid Plant

2010 ◽  
Author(s):  
BA Chowdhury ◽  
MS Islam ◽  
F Begum ◽  
AM Parvez
Keyword(s):  
Sulfuric Acid ◽  
Performance Analysis ◽  
Chemical Engineering ◽  
Cooling Tower ◽  
Acid Plant ◽  
Sulfuric Acid Plant ◽  
And Performance

Journal of Chemical Engineering Vol.ChE 23 1995-2005

Research on the development and performance evaluation of drift eliminator for seawater cooling tower

2018 ◽  
Vol 119 ◽  
pp. 125-129
Author(s):  
Xue Li ◽  
Lianqiang Zhang ◽  
Qingwen Yi ◽  
Yinzhong Wang ◽  
Zhijie Li ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Cooling Tower ◽  
And Performance

scholarly journals ANALISA PERPINDAHAN PANAS COOLING TOWER (INDUCED DRAFT) PLTU I PULANG PISAU (2 x 60 MW)

JTAM ROTARY ◽  
2020 ◽  
Vol 2 (2) ◽  
pp. 171
Author(s):  
I Komang Gede Sastrawan ◽  
Rachmat Subagyo
Keyword(s):  
Heat Transfer ◽  
Power Plant ◽  
Cooling Tower ◽  
Cooling System ◽  
Average Efficiency ◽  
Condenser Temperature ◽  
And Performance ◽  
Cooling Media

Penelitian ini bertujuan untuk mengetahui perpindahan panas dan kinerja menara pendingin Pembangkit Listrik Pulang Pisau I (2 x 60 MW) dengan membandingkan data hasil yang diperoleh selama komisioning dan 2018. Pembangkit Listrik Pulang Pisau I (2 x 60 MW) merupakan pembangkit listrik. menggunakan sistem pendingin tertutup dengan menara pendingin. Menara pendingin pada suatu pembangkit listrik memiliki peran yang sangat penting, sebagai media pendingin utama untuk menjaga kestabilan suhu kondensor. Cooling tower merupakan salah satu peralatan perpindahan panas pada suatu pembangkit listrik. Di Pembangkit Listrik Pulang Pisau I (2 x 60 MW), kinerja menara pendingin perlu dikaji dan dianalisis bagaimana perpindahan panas dan efisiensinya untuk mendapatkan masukan guna meningkatkan / mempertahankan kinerja menara pendingin. Laju perpindahan panas tertinggi dari Pulang Pisau - PLTU Daya I 2 x 60 MW menara pendingin terjadi pada tanggal 2 Desember 2018 pukul 06.00 WIB, beban 51,0 MW yaitu 6.883 kW dan terendah terjadi pada tanggal 24 November 2018 pukul 15.00 WIB. , 14,6 MW yang merupakan 2,752 kW. Nilai efisiensi rata-rata 71%. The study aims to determine the heat transfer and performance of cooling tower Pulang Pisau I Power Plant (2 x 60 MW) by comparing the result data obtained during commissioning and 2018. Pulang Pisau I Power Plant (2 x 60 MW) is a power plant using a closed cooling system with the cooling tower. Cooling tower in a power plant have a very important role, as the main cooling media to keep the condenser temperature stable. Cooling tower is one of the heat transfer equipment in a power plant. In Pulang Pisau I Power Plant (2 x 60 MW), cooling tower performance needs to be examined and analyzed how heat transfer and efficiency are to get some input to improve / maintain the performance of the cooling tower. The highest rate of heat transfer from Pulang Pisau - Daya PLTU I 2 x 60 MW cooling tower occurred on December 2nd, 2018 at 06.00 WIB, a load of 51.0 MW which was 6.883 kW and the lowest occurred on November 24th, 2018 at 15.00 WIB, 14.6 MW which was 2.752 kW. Average efficiency value of 71%.

scholarly journals Maintenance Strategy Optimization of a Coal-Fired Power Plant Cooling Tower through Generalized Stochastic Petri Nets

Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1951 ◽  
Author(s):  
Arthur H.A. Melani ◽  
Carlos A. Murad ◽  
Adherbal Caminada Netto ◽  
Gilberto F.M. Souza ◽  
Silvio I. Nabeta
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Cooling Tower ◽  
Thermal Power ◽  
Stochastic Petri Nets ◽  
Optimal Size ◽  
Daunting Task ◽  
And Performance ◽  
The One ◽  
Power Plant Cooling

Determining the ideal size of maintenance staff is a daunting task, especially in the operation of large and complex mechanical systems such as thermal power plants. On the one hand, a significant investment in maintenance is necessary to maintain the availability of the system. On the other hand, it can significantly affect the profit of the plant. Several mathematical modeling techniques have been used in many different ways to predict and improve the availability and reliability of such systems. This work uses a modeling tool called generalized stochastic Petri net (GSPN) in a new way, aiming to determine the effect that the number of maintenance teams has on the availability and performance of a coal-fired power plant cooling tower. The results obtained through the model are confronted with a thermodynamic analysis of the cooling tower that shows the influence of this system’s performance on the efficiency of the power plant. Thus, it is possible to determine the optimal size of the repair team in order to maximize the plant’s performance with the least possible investment in maintenance personnel.

On the Merkel Equation: Novel ε-Number of Transfer Unit Correlations for Indirect Evaporative Cooler Under Different Lewis Numbers

2017 ◽  
Vol 9 (4) ◽  
Author(s):  
M. Khamis Mansour
Keyword(s):  
Present Model ◽  
Cooling Tower ◽  
Numerical Models ◽  
Thermal Design ◽  
Numerical Work ◽  
New Model ◽  
General Integral ◽  
Transfer Unit ◽  
Evaporative Cooler ◽  
And Performance

An innovative relationship between the effectiveness (ε) and number of transfer unit (NTU) was presented in this work for indirect evaporative cooler (IEC). This relationship is featured by its simplicity in use and has noniterative procedure to be implemented as the traditional one in the literature. The new model can be implemented in sizing and rating design of the IEC at different Lewis numbers with a reasonable accuracy. General integral equation, which is similar to that of Merkel equation, is developed in this model. The new relationship was verified through comparison with experimental and numerical work reported in the available literature for closed or indirect cooling tower (ICT), as an example of IEC. Additionally, the predicted results of the present model were compared to those obtained from the traditional numerical models at different Lewis numbers. The simulated results from the new model show a satisfactory agreement with those obtained from the experimental work of less than 10%. The new correlations can be implemented easily in predicting the thermal design and performance of IEC in any simulation program or in real site.

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