scholarly journals ANALISIS VARIABEL-VARIABEL PENENTU CLEANLINESS FACTOR DAN PERFORMANCE FACTOR UNTUK MENINGKATKAN KINERJA KONDENSOR UNIT 1 PLTU SEKTOR ASAM-ASAM

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Muhammad Ashar ◽  
Sobar Ihsan ◽  
Irfan , ◽  
Slamet Ramadhan

Pemanatauan kierja kondensor PT. PLN Persero Sektor Asam-Asam pada keadaan operasi membuthkan nilai Cleanliness Factor dan Performance Factor. Analisis variabel-variabel yang menentukan Clinelines Factor dan Performance Factor diperlukan agar kinerjanya dapat ditingkatkan. Penelitian ini bertujuan untuk mendapatkan nilai Cleanlines Factor dan Performance Factor, mengetahui pengaruh perubahan beban terhadap Cleanlines Factor dan Performance Factor, mengetahui variabel-variabel mempengaruhi kinerja kondenser dan mencari solusi untuk meningkatkan performance kondensor. Nilai Cleanlines Factor didapatkan dari rasio perbandingan koefisien transfer panas total keadaan aktual terhadap koefisien transfer panas HEI sedangkan PF didapat dari rasio koefisien transfer panas total keadaan aktual terhadap koefisien transfer panas ASME. Data-data operasi menunjukkan bahwa nilai Cleanlines Factor dan Performance Factor meningkat seiring dengan meningkatnya beban pembangkitan listrik. . Hal ini membuktikan bahwa fouling bukan penyebab rendahnya nilai Cleanlines Factor dan Performance Factor. Variabel-variabel yang dianalisis yaitu suhu inlet cooling water (Tin), tekanan kondenser/back pressure (Pback) dan aliran volumetrik cooling water (Colling Water flow).Kata Kunci           : Kondensor, Cleanliness Factor, Performance Factor

Author(s):  
Zhuo Cui

This paper presents the effects of heat dissipation performance of pin fins with different heat sink structures. The heat dissipation performance of two types of pin fin arrays heat sink are compared through measuring their heat resistance and the average Nusselt number in different cooling water flow. The temperature of cpu chip is monitored to determine the temperature is in the normal range of working temperature. The cooling water flow is in the range of 0.02L/s to 0.15L/s. It’s found that the increase of pin fins in the corner region effectively reduce the temperature of heat sink and cpu chip. The new type of pin fin arrays increase convection heat transfer coefficient and reduce heat resistance of heat sink.


2011 ◽  
Vol 18 (3) ◽  
pp. 48-54 ◽  
Author(s):  
Andrzej Błaszczyk ◽  
Jerzy Głuch ◽  
Andrzej Gardzilewicz

Operating and economic conditions of cooling water control for marine steam turbine condensers The article presents the operational and economic analysis of controlling the cooling water flow in marine steam turbine power plants. The analysis bases on selected designs of the main condenser cooling water pumps and makes use of the results of investigations performed in inland power plants. Special attention was focused on marine aspects of the operation of those systems.


2020 ◽  
Author(s):  
Sofi Hesti Fathia ◽  
Inkasandra Faranisa Kolang ◽  
Ricky Putro Satrio Wicaksono ◽  
Achmad Riadi ◽  
Yulianto Sulistyo Nugroho

2011 ◽  
Vol 383-390 ◽  
pp. 7746-7749 ◽  
Author(s):  
Wei Shun Huang ◽  
Ching Wei Chen ◽  
Cheng Wen Lee ◽  
Ching Liang Chen ◽  
Tien Shuen Jan ◽  
...  

The objective of the study is to focus on the application of the artificial neural network to configure a heat-radiating model for cooling towers within the parameters of fluctuating in air flow or cooling water flow. To achieve the objective, a cooling tower heat balancing equation have been used to instill the correlations between a cooling tower cooling load to the four predefined parameters. Based on the premise established, the parameters of a cooling tower’s air flow and cooling water flow in a modulated process are utilized in an experimental system for collecting relevant operating data. Lastly, the artificial neural network tool derived from the Matlab software is utilized to define the input parameters being – the cooling water temperature, ambient web-bulb temperature, cooling tower air flow, and cooling water flow, with an objective set to instilling a cooling tower model for defining a cooling tower cooling load. In addition, the tested figures are compared to the simulated figures for verifying the cooling tower model. By utilizing the method derived from the model, the mean error of between 0.72 and 2.13% is obtained, with R2 value rated at between 0.97 and 0.99. The experiment findings show a relatively high reliability that can be achieved for configuring a model by using the artificial neural network. With the support of an optimized computation method, the model can be applied as an optimization operating strategy for an air-conditioning system’s cooling water loop.


2020 ◽  
Vol 1008 ◽  
pp. 177-185
Author(s):  
Hamed Abbady ◽  
Mahmoud Salem Ahmed ◽  
Hamdy Hassan ◽  
A.S.A. Mohamed

In this paper, an experimental work studies the principal operating parameters of a proposed desalination process using air humidification-dehumidification method. The major objective of this work is to determine the humid air behavior through the desalination system. Different operating conditions including the effect of the water temperature at the entry to the humidifier, the ratio of the mass of water to the air, the air/water flow rate, and cooling water at entry the dehumidifier on the desalination performance were studied. The results show that the freshwater increases with increasing the water temperature at the inlet of the humidifier, the ratio of the mass of water to air, and cooling water flow rate in the dehumidifier. Cooling water outlet temperature at the condenser increases with increasing the water temperature at humidifier inlet. Also, it decreases as increasing cooling water flow rate while the ratio of the mass of water to air achieves the highest productivity and gained output ratio (GOR). The achieved mass ratio (MR) is 4.5 and the mass flow rate of air is 0.8 kg/min.


2019 ◽  
Vol 114 ◽  
pp. 01007 ◽  
Author(s):  
Ekaterina Antipina ◽  
Vadim Spiryaev ◽  
Emir Tairov

This paper considers integral models built to describe dynamic processes in a 135 MW power unit condenser. For this purpose, we use a quadratic segment of the Volterra integral power series. The first set of models was built with a perturbation of the cooling water flow, and the second one with a perturbation of the steam flow. For all sets of models, changes in pressure and temperature in the condenser, as well as temperature changes in LHP-1, were considered as a response to perturbation. For models built with perturbation of the cooling water flow velocity, we considered an extreme problem of finding optimal amplitudes of the input perturbations. The results of calculations proved to be sufficiently accurate.


2019 ◽  
Vol 28 (2) ◽  
pp. 262-270 ◽  
Author(s):  
Dawen Zhong ◽  
Ji’an Meng ◽  
Peng Qin ◽  
Xiaolong Qiu ◽  
Ping Jiang ◽  
...  

Author(s):  
G O Tirian ◽  
C A Gheorghiu ◽  
T Hepuţ ◽  
C P Chioncel

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