Fast and efficient prediction of finned-tube heat exchanger performance using wet-dry transformation method with nominal data

Zhou, Guangyou; Ye, Y.; Zhou, Xiaoqing; Wu, Xiaoyu

doi:10.1016/j.applthermaleng.2018.09.020

Cited by 7 publications

(2 citation statements)

References 46 publications

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“…ℎ : Wet transfer coefficient of the wet temporary pool wall surface, kg/(m²•s).𝑐 : Specific heat of air, J/(kg•°C). The air-side convective heat transfer coefficients at the pool wall for wet conditions are approximated as for dry conditions [3,[12][13][14][15] .…”

Section: Wet Working Conditionsmentioning

confidence: 99%

Characteristics of Heat and Humidity Transfer Between Aquatic Holding Tanks and Indoor Air

Mu,

Zhang

2024

Proceedings of the International Conference on Industrial Design and Environmental Engineering, IDEE 2023, November 24–26, 2023

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This study established a comprehensive system to investigate heat and humidity transfer involving aquatic holding tanks' walls and exposed water surfaces and the indoor environment. We manipulated tank water temperature and circulating pool water volume. Measurements included air temperature and humidity within the experimental chamber, tank wall temperatures, condensation levels, and various parameters related to heat exchangers and circulating water in both tubular and shell processes. The analysis characterized heat and moisture transfer coefficients on horizontal and vertical tank surfaces across different water temperatures. Notably, we identified correlations for these coefficients in the literature and established a linear relationship between water vapor diffusion and aquaculture pool water volume. These findings have practical implications for calculating air-conditioning loads in aquatic market buildings and heating/cooling needs in holding tanks.

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Section: Wet Working Conditionsmentioning

confidence: 99%

Characteristics of Heat and Humidity Transfer Between Aquatic Holding Tanks and Indoor Air

Mu,

Zhang

2024

Proceedings of the International Conference on Industrial Design and Environmental Engineering, IDEE 2023, November 24–26, 2023

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“…A lot of models that have been created using the OOM paradigm can be found on the literature. To cite just a few recent works from several fields, there are examples of mechanical systems [16][17][18], electrical systems [19][20][21], thermal systems [22][23][24][25], energy systems [26][27][28][29] and processes [30,31]. This clearly shows that OOM is a very useful methodology for modelling multidisciplinary complex systems.…”

Section: Introductionmentioning

confidence: 99%

Software Tool for Acausal Physical Modelling and Simulation

et al. 2019

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Modelling and simulation are key tools for analysis and design of systems and processes from almost any scientific or engineering discipline. Models of complex systems are typically built on acausal Differential-Algebraic Equations (DAE) and discrete events using Object-Oriented Modelling (OOM) languages, and some of their key concepts can be explained as symmetries. To obtain a computer executable version from the original model, several algorithms, based on bipartite symmetric graphs, must be applied for automatic equation generation, removing alias equations, computational causality assignment, equation sorting, discrete-event processing or index reduction. In this paper, an open source tool according to OOM paradigm and developed in MATLAB is introduced. It implements such algorithms adding an educational perspective about how they work, since the step by step results obtained after processing the model equations can be shown. The tool also allows to create models using its own OOM language and to simulate the final executable equation set. It was used by students in a modelling and simulation course of the Automatic Control and Industrial Electronics Engineering degree, showing a significant improvement in their understanding and learning of the abovementioned topics after their assessment.

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Research Data and Method Selection

2020

Engineering Research

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Fast and efficient prediction of finned-tube heat exchanger performance using wet-dry transformation method with nominal data

Cited by 7 publications

References 46 publications

Characteristics of Heat and Humidity Transfer Between Aquatic Holding Tanks and Indoor Air

Characteristics of Heat and Humidity Transfer Between Aquatic Holding Tanks and Indoor Air

Software Tool for Acausal Physical Modelling and Simulation

Research Data and Method Selection

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