• Title/Summary/Keyword: Condenser fouling

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Impacts of Fouling and Cleaning on the Performance of Plate Fin and Spine Fin Heat Exchangers

  • Pak, Bock-Choon;Baek, Byung-Joon;Eckhard A. Groll
    • Journal of Mechanical Science and Technology
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    • v.17 no.11
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    • pp.1801-1811
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    • 2003
  • An experimental study was conducted to investigate the effects of air-side fouling and cleaning on the performances of various condenser coils used in unitary air-conditioning systems. A total of six condenser coils with different fin geometry and row number were tested. Performance tests were performed at three different conditions: clean-as-received, after fouling, and after cleaning. In all cases, it was observed that the fouling was mostly confined to the frontal face of the heat exchanger as reported in the previous investigations. The amount of deposited dust was more dependent on fin geometry for the single-row heat exchangers than for the double-row heat exchangers. The predominant effect of fouling was to cause a more significant increase in air-side pressure drop than a degradation in heat transfer performance. For the single-row heat exchangers, the pressure drop increased by 28 to 31%, while the heat transfer performance decreased by 7 to 12% at the standard air face velocity of 1.53 m/s depending on fin shape. For the double-row heat exchangers, the pressure drop increased by 22 to 37%, and heat transfer performance decreased by only 4-5% at the same air face velocity. Once the contaminated coils were cleaned according to the given cleaning procedure the original performance of the heat exchangers could almost be recovered completely. The pressure drop could be restored within 1 to 7% and the heat transfer performance could be recovered to within 1 to 5% of the originally clean heat exchangers. Therefore, it is concluded that a periodic application of the specified cleaning technique will be effective in maintaining the thermal performance of the condenser coils.

The Effect on Fouling Reduction by the Ball Cleaning System in a Compressed Type Refrigerator

  • Lee, Yoon-Pyo;Karng, Sarng-Woo
    • International Journal of Air-Conditioning and Refrigeration
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    • v.10 no.2
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    • pp.88-96
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    • 2002
  • The present study was conducted to estimate the effect on fouling reduction in tubes of the condenser. It shows in detail how to calculate the fouling factor from the experimental results of refrigeration systems with or without the automatic cleaning system using sponge balls and to predict the variation of the factor with time. It also represents how to calculate the temperature and pressure decrease of the refrigerant vapor in the condenser and the load decrease of the compressor in the refrigeration system by fouling reduction.

The Effect on Fouling Reduction by the Cleaning System in Compressed Type Refrigerator (압축식 냉동기에서 세정장치에 의한 파울링 억제효과)

  • 이윤표;강상우
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.13 no.6
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    • pp.482-489
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    • 2001
  • The present study was conducted to estimate the effect on fouling reduction in tubes of the condenser. It shows in detail how to calculate the fouling factor from the experimental results of refrigeration systems with or without the automatic cleaning system using sponge balls and to predict the variation of the factor with time. It also represents how to calculate the temperature and pressure decrease of the refrigerant vapor in the condenser and the load decrease of the compressor in the refrigeration system by fouling reduction.

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The Fault Detection of an Air-Conditioning System by Using a Residual Input RBF Neural Network (잔차입력 RBF 신경망을 사용한 냉방기 고장검출 알고리즘)

  • Han, Do-Young;Ryoo, Byoung-Jin
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.17 no.8
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    • pp.780-788
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    • 2005
  • Two different types of algorithms were developed and applied to detect the partial faults of a multi-type air conditioning system. Partial faults include the compressor valve leakage, the refrigerant pipe partial blockage, the condenser fouling, and the evaporator fouling. The first algorithm was developed by using mathematical models and parity relations, and the second algorithm was developed by using mathematical models and a RBF neural network. Test results showed that the second algorithm was better than the first algorithm in detecting various partial faults of the system. Therefore, the algorithm developed by using mathematical models and a RBF neural network may be used for the detection of partial faults of an air-conditioning system.

Fault Diagnosis Algorithm of an Air-conditioning System by using a Neural No-fault Model and a Dual Fuzzy Logic (신경망무고장모델과 이중퍼지로직을 사용한 냉방기 고장진단 알고리즘)

  • Han Do-Young;Jung Nam-Chul
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.18 no.10
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    • pp.791-799
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    • 2006
  • The fault diagnosis technologies may be applied in order to decrease the energy consumption and the maintenance cost of an air-conditioning system. In this paper, a fault diagnosis algorithm was developed by using a neural no-fault model and a dual fuzzy logic. Five different faults, such as the compressor valve leakage, the liquid line blockage, the condenser fouling, the evaporator fouling, and the refrigerant leakage of an air-conditioning system, were considered. The fault diagnosis algorithm was tested by using a fault simulation facility. Test results showed that the algorithm developed for this study was effective to detect and diagnose various faults. Therefore, this algorithm may be practically used for the fault diagnosis of an air-conditioning system.

Development on Cleaning System of Condenser for Nuclear Power Plant by Using Sponge Ball (스펀지 볼을 이용한 원전용 복수기 튜브 세정 시스템 개발)

  • Yi, Chung-Seob;Lee, Chi-Woo
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.14 no.6
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    • pp.21-26
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    • 2015
  • This study presents a development of the cleaning system in a nuclear power plant condenser. The tube cleaning system is very important equipment in a power plant condenser. Specially, removal of the fouling is a key process in the condenser tube. The objective of this study is development of a ball collector system for cleaning a condenser by using a sponge ball. This study uses CFD in order to optimize design of the ball strainer screen. Through the CFD, the implication of the ball strainer screen for static pressure distribution is examined. Results of research, this study have developed a 1/5 scale model for application to the power plant and developed a performance test equipment.

Partial Fault Detection of an Air-conditioning System by using a Moving Average Neural Network

  • Han, Do-Young;Lee, Han-Hong
    • International Journal of Air-Conditioning and Refrigeration
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    • v.11 no.3
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    • pp.125-131
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    • 2003
  • The fault detection and diagnosis technology may be applied in order to decrease the energy consumption and the maintenance cost of the air-conditioning system. In this paper, two fault detection methods were considered. One is a generic neural network, and the other is an moving average neural network. In order to compare the performance of fault detection results from these methods, two different types of faults in an air-conditioning system were applied. These are the condenser 30% fouling and the evaporator fan 25% slowdown. Test results showed that the moving average neural network was more effective for the detection of partial faults in the air-conditioning system.

The Partial Fault Detection of an hir-Conditioning System by the Neural Network Algorithm using Normalized Input Data (정규화 입력을 사용한 신경망 알고리즘에 의한 냉동기의 부분 고장 검출)

  • 한도영;황정욱
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.15 no.3
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    • pp.159-165
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    • 2003
  • The fault detection and diagnosis technology may be applied in order to decrease the energy consumption and the maintenance cost of the air-conditioning system. To detect partial faults of the air-conditioning system, a neural network algorithm may be used. In this study, the neural network algorithm using normalized input data by the standard deviation was applied. And the [7$\times$10$\times$10$\times$1] neural network structure was selected. Test results showed that the neural network algorithm using normalized input data was very effective to detect the condenser fouling and the evaporator fan fault of an air-conditioning system.

Partial Fault Detection of Air-conditioning System by Neural Network Algorithm using Data Preprocessing Method (데이터 전처리기법을 적용한 신경망 알고리즘의 냉방기 부분고장 검출)

  • 한도영;이한홍;윤태훈
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.14 no.7
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    • pp.560-566
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    • 2002
  • The fault detection and diagnosis technology may be applied in order to decrease the energy consumption and the maintenance cost of the air-conditioning system. In this study, two different types of faults in the air-conditioning system, such as the condenser fouling and the evaporator fan slowdown, were considered. The neural network algorithm combined with data preprocessor was developed and applied to detect the faults of the real system. Test results show that this method is very effective to detect the faults in the air-conditioning system. Therefore, this developed method can be used for the development of the air-conditioner fault detection system.

A Study on the Fouling Factor and the Formation of Surface Film in the Power Plant Condenser (발전소 복수기의 Fouling Factor 및 피막특성에 관한 연구)

  • Lee, Seung-Jin;Kim, Jang-Sun;Lee, Seong-Ho
    • Korean Journal of Materials Research
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    • v.7 no.9
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    • pp.750-757
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    • 1997
  • 발전소 복수기의 열전달 표면에 형성되는 불순물의 fouling factor와 튜브내면에 부착되는 피막의 두께변화를 측정하여 복수기 관리에 관한 지침을 제시하고자 모델복수기를 이용하여 60일간 현장실험을 실시하였다. 복수기의 fouling factor는 시험 후 약 40일 이후부터 큰 폭으로 증가하였다. 발전용 복수기의 관청결도가 85-90%로 설계되므로 설계치를 유지하기 위해서는 약 40일 마다 복수기튜브를 세정하여 관청결도를 향상시켜야 할 것으로 판단되었다. 또한 동합금 재질을 사용하는 복수기튜브는 설치 후 보호피막이 형성되는 초기 30일 동안의 방식운전이 복수기튜브 건전성 확보에 중요한 인자임을 유추할 수 있었다.

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