Graph-based network modeling and simulation of condensers in once-through cooling water system under the effect of biofouling formation

Souza, Jaime Neiva Miranda de; Melo, L. F.; Costa, André L.H.

doi:10.1016/j.applthermaleng.2019.114577

Cited by 4 publications

(2 citation statements)

References 26 publications

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“…Supporting Information for this article can be found under DOI: https://doi.org/10.1002/ceat.202200528. This section includes additional references to primary literature relevant for this research [24][25][26][27][28].…”

Section: Supporting Informationmentioning

confidence: 99%

Compartmental Modeling of Biofouling in Industrial Cooling Circuits

Jourdan

Kanniche²,

Neveux³

et al. 2023

Chem Eng & Technol

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Industrial cooling circuits with wet cooling towers use raw water to remove residual heat from industrial processes. These circuits are very prone to fouling and particularly biofouling. This work proposes a compartmental model built from a full hydrodynamic characterization (using computational fluid dynamics and experimental, local, and system data) of an industrial cooling circuit and implemented with a biofilm growth model which considers kinetic (temperature, concentrations) as well as hydrodynamic (internal and external transfer) limitations. It can therefore predict the biofouling growth per surface unit in the different part of the circuit, considering the various hydrodynamic conditions, while taking only a few minutes to simulate a full year considering season variation of temperature and water quality.

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Section: Supporting Informationmentioning

confidence: 99%

Compartmental Modeling of Biofouling in Industrial Cooling Circuits

Jourdan

Kanniche²,

Neveux³

et al. 2023

Chem Eng & Technol

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“…Pattanayak et al 11 analyzed the influence of speed and temperature on the heat transfer of a condenser in a coal-fired power plant. Using a simulation model and experimental data, Souza et al 12 examined two different scenarios of short-term and long-term operation of the once-through cooling water condenser system. By using the data from the literature and the manufacturer's data, Laskowski et al 13 developed a model that calculates the thermodynamic properties of cooling water.…”

Section: Introductionmentioning

confidence: 99%

Integration of machine learning to increase steam turbine condenser vacuum and efficiency through gasket resealing and higher heat extraction into the atmosphere

Strušnik

2021

Intl J of Energy Research

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In large thermal power facilities, thermal machines mainly fitted with steam turbines are used in thermodynamic process of converting thermal energy into mechanical work. In order to improve the efficiency of heat energy conversion into mechanical work, the increase of vacuum level in the condenser of a steam turbine was analyzed using the machine learning method. The vacuum in the steam turbine condenser increases after replacing the labyrinth gaskets with honeycomb ones, resealing the vacuum system and increasing the amount of cooling water through the condenser. The latter is controlled by algorithm, which is integrated into the steam turbine distribution control system. As a result of the increased vacuum in the steam turbine condenser, the enthalpy difference of the steam turbine low-pressure cylinder increases, and the steam turbine performs more mechanical work resulting in higher conversion efficiency. The drawback of the increased vacuum in the turbine condenser is that the flow of cooling water through the steam turbine condenser increases as well as heat dissipation from the condenser into the environment to be replaced by regenerative condensate heating. The results of the analysis show that the overall balance of the vacuum increase in the steam turbine condenser is positive, the steam turbine generates more power, and consequently the process efficiency increases by as much as 2.48 %.

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A biofouling thermal resistance model with a growth term of surface biofilm on heat transfer surface

Wang

Xia

et al. 2021

International Journal of Thermal Sciences

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Graph-based network modeling and simulation of condensers in once-through cooling water system under the effect of biofouling formation

Cited by 4 publications

References 26 publications

Compartmental Modeling of Biofouling in Industrial Cooling Circuits

Compartmental Modeling of Biofouling in Industrial Cooling Circuits

Integration of machine learning to increase steam turbine condenser vacuum and efficiency through gasket resealing and higher heat extraction into the atmosphere

A biofouling thermal resistance model with a growth term of surface biofilm on heat transfer surface

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