Alternative Approaches for Real-time Monitoring of the Effectiveness of Hydrogenerator Heat Exchangers

被引:0
|
作者
Frota, Mauricio N. [1 ]
Hernandez-Vasquez, Jose Daniel [2 ]
da Silva, Rui Pitanga Marques [3 ]
Germano, Sergio Bragantine [1 ]
Truyoll, Sergio de La Hoz [1 ]
机构
[1] Pontifical Catholic Univ Rio de Janeiro, Postgrad Programme Metrol, Rio De Janeiro, Brazil
[2] Univ Antonio Narino, FIMEB Mech Engn Program, Puerto Colombia, Colombia
[3] CEFET RJ, Dept Mech Engn, Maracana Campus, Rio De Janeiro, Brazil
关键词
MITIGATION;
D O I
10.1080/01457632.2023.2260523
中图分类号
O414.1 [热力学];
学科分类号
摘要
Heat exchangers require periodic maintenance. Offline cleaning scheduled shutdowns are usually needed to restore the exchanger effectiveness, drastically reduced when fouling accumulation occurs. An online real-time alternative for monitoring the effectiveness of exchanger (during a period of eleven months of continuous operation) and an adapted version of the epsilon-NTU method to calculate its effectiveness are discussed. The experimental difficulties of measuring the mass flow rate and the hot air temperature at the exit of the exchanger is examined. Detailed analysis confirmed that the outlet temperature of the hot fluid could introduce errors of up to 30% in the calculation of the exchanger effectiveness. A skillful treatment of the energy balance is proposed to address the issue. The associated uncertainties are estimated by two independent approaches, the so-called classic method, i.e., the Guide to the Expression of Uncertainty in Measurement and the Monte Carlo method. Both confirmed that measurements of the air outlet temperature accounts for more than 50% of the uncertainty associated with the calculation of the exchanger effectiveness. It is suggested that the conventional method (based on measurements of the outlet air temperature) is not suitable for traditional everyday practices to monitor the effectiveness of the heat exchangers of hydrogenerators.
引用
收藏
页码:1369 / 1388
页数:20
相关论文
共 50 条
  • [21] REAL-TIME BRIDGE MONITORING
    Saric, Mladen
    Kaluder, Filip
    Draganic, Hrvoje
    ELECTRONIC JOURNAL OF THE FACULTY OF CIVIL ENGINEERING OSIJEK-E-GFOS, 2011, 3 : 53 - 66
  • [22] Real-time monitoring of viscosity
    Canter, Neil
    TRIBOLOGY & LUBRICATION TECHNOLOGY, 2012, 68 (06) : 16 - +
  • [23] Monitoring Restaurants in Real-Time
    Santos Batista, Isaac Danilo
    Sardina, Idalmis Milian
    Dantas, Rummenigge Rudson
    2019 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR INDUSTRY 4.0 AND INTERNET OF THINGS (METROIND4.0&IOT), 2019, : 202 - 206
  • [24] Real-time environmental monitoring
    Sieburth, JM
    Kester, DR
    SEA TECHNOLOGY, 1997, 38 (10) : 47 - &
  • [25] REAL-TIME EXECUTION MONITORING
    PLATTNER, B
    IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 1984, 10 (06) : 756 - 764
  • [26] Monitoring of real-time properties
    Bauer, Andreas
    Leucker, Martin
    Schallhart, Christian
    FSTTCS 2006: FOUNDATIONS OF SOFTWARE TECHNOLOGY AND THEORETICAL COMPUTER SCIENCE, PROCEEDINGS, 2006, 4337 : 260 - +
  • [27] Real-time monitoring of sediments
    Sequoia Scientific Inc., Bellevue, WA, United States
    Int. Water Power Dam Constr., 2012, 5 (18-19):
  • [28] Vibration monitoring of stadia grandstands: real-time and long-term approaches
    Luca, Francescantonio
    Romano, Francesco
    Turrisi, Simone
    Cigada, Alfredo
    Zappa, Emanuele
    JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING, 2025, 15 (02) : 395 - 415
  • [29] On real-time control and process monitoring of wastewater treatment plants:: real-time process monitoring
    Wade, MJ
    Sánchez, A
    Katebi, MR
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2005, 27 (03) : 173 - 193
  • [30] Real-time optimization: an "alternative" approach
    Dormer, A
    Raynor, S
    HYDROCARBON PROCESSING, 1998, 77 (09): : 81 - +