Fuel type impact at heat exchanger performance

Ďurčanský, Peter; Patsch, Marek; Jandačka, Jozef

doi:10.1063/1.4953701

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…In the adiabatic section is not exchanged heat transfer through the ambient area, due to the isolation of a few working fluid to the wall of the heat pipe condensation film of condensed working fluid. In the condenser the vapour of working fluid condenses on the walls of the heat pipe, which transmit latent (condensing) heat through the walls of the heat pipe to the heat consumption point [5,6,7]. Figure 1 presents heat pipe model and heat pipe schema.…”

Section: Basis Theory Of Experimental Heat Pipementioning

confidence: 99%

Basic CFD model of heat pipe

et al. 2018

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Abstract. The article deals with the creation of the basis of the CFD model of the heat pipe, which is designed to simulate and show the predicted course of the work-fluid-activity within the heat pipe. This simulation is part of the study of the heat pipe device. This device, based on CFD simulation, can be constructed to describe the phenomena running inside the heat pipe based on real-world experimental measurements. A comparison of the CFD and the experimental model can explain the problems of areas and phenomena in the heat pipe. Based on this comparison, it is possible to optimize single device errors. The optimization transferred to the CFD model will show us how to solve problems and how to improve the experimental models of heat pipes.

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Section: Basis Theory Of Experimental Heat Pipementioning

confidence: 99%

Basic CFD model of heat pipe

et al. 2018

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“…All the 10 parameters are important as they can influence exchange efficiency (EE) which fluctuates with situations imposed due to change in production demand, time of operation, production capacity, investments, power availability, material, lifetime of exchanger and cycle efficiency. 11 So, an individual parameter will stand with its own weight factor based on the imposed criteria for changing the exchange efficiency of STHEs in different levels of intensity. Therefore, all the parameters are not equally significant to control EE of a heat exchanger (HE).…”

Section: Introductionmentioning

confidence: 99%

Productivity yielding in shell and tube heat exchanger by MCDM-NBO approach

Roy

Majumder

2019

Measurement and Control

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The productivity of shell and tube heat exchangers are governed by various geometrical parameters like tube diameter, tube thickness, tube length, tube pitch, tube layout, installation area and baffle spacing of the heat exchanger. The operational efficiency of heat exchangers is highly influenced by the characteristics of heat exchanger parameters. The exchanger efficiency gets trapped due to many incongruities’ effects like over-pressure, bio-fouling, chemical fouling and corrosion. The selection of optimum design configuration is essential to achieve higher operational efficiency for a heat exchanger. But the performance and reliability of the optimization process play a key role in selecting and deselecting significant and insignificant parameters, respectively. So, cognitive selection of parameters and henceforth a reliable optimization process is required to identify optimal design for a heat exchanger. Moreover, economic factors also contribute to attain a consolidated yield result for a heat exchanger. This research proposes an optimal configuration with the help of ensemble output obtained by multi-criteria decision making and nature-based optimization algorithm. It has been found that exchange efficiency in optimal configuration is boosted by 22% from prototype heat exchanger.

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Fuel type impact at heat exchanger performance

Cited by 2 publications

References 11 publications

Basic CFD model of heat pipe

Basic CFD model of heat pipe

Productivity yielding in shell and tube heat exchanger by MCDM-NBO approach

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