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Title: Application of computational fluid dynamics in the design of heat exchangers for domestic central heating boilers
Author: Peronski , Lukasz
Awarding Body: University of Leeds
Current Institution: University of Leeds
Date of Award: 2013
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The aim of this study is to investigate the possible use of commercial Computational Fluid Dynamics (CFD) software in the design process of a heat exchanger for a domestic gas boiler. Fluid flow and heat transfer CFD simulations have been performed and validated. In general, a good agreement between the CFD simulations and the experimental results was observed. The porous media approach was used for approximating the water flow resistance characteristics in the sections of the heat exchanger in the flow distribution problems. This was in cases in which the direct CFD simulations of the water flow through these sections of the heat exchanger would require very large numerical meshes and computational resources. Also a method for designing a water flow distributor for the sectional parallel now heat exchanger is proposed. The method is based on Bernoulli's equation with the flow resistance characteristics of a single section of the heat exchanger gained from the CFD simulation of the water now through a single section of this heat exchanger. The performed CFD analyses provide very useful information with regards to the operational parameters and conditions in the heat exchanger under investigation, which would otherwise be very difficult. if not impossible, to obtain. Despite the great potential usefulness of the CFD simulation In the design process of heat exchangers, it is still not always considered a clear choice for use in the boiler industry, in order to aid the design process of heat exchangers for domestic central heating boilers. This is due to the relatively high cost of the CFD analyses and the fact that the boiler industry traditionally relies on design procedures based primarily on experimental techniques
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available