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Title: Sustainable cooling of underground railways through enhancement of the heat sink effect
Author: Thompson, Joylon.
Awarding Body: London South Bank University
Current Institution: London South Bank University
Date of Award: 2006
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The drive for energy efficiency and the rising costs of energy have caused an increase in the demand and need for sustainable cooling solutions. Despite there being numerous examples of such cooling systems in conventional building services engineering none have been transferred into underground railway usage. This is in spite of many networks, particularly older systems having high levels of thermal discomfort. The need to exploit sustainable cooling resources is established in this thesis. A detailed literature study shows the need for the development of both a dedicated validated mathematical model to deal specifically with this issue as well as the potential for geothermal cooling to be better exploited by underground railway thermal design engineers. This thesis describes an experimental and analytical investigation which provides an improved understanding of sustainable cooling of underground railways. Particular attention is paid to a novel enhanced geothermal cooling system. Experimental work demonstrated that the novel geothermal cooling system had the potential to reduce temperatures by 7K using enhanced geothermal heat transfer techniques. In addition to this cooling effect the capacitance of the system is increased and the controlling resistance of the near soil is reduced. To model analytically the effects of the geothermal cooling system a fundamental approach is developed. This provides an equivalent resistance for the enhanced region of the infinite heat sink. This technique is then included in a novel validated mathematical model which is used to demonstrate the effectiveness of the system. The model is also used to investigate various combinations of sustainable and low energy cooling strategies. Conclusions are drawn concerning the enhancement of a geothermal cooling system and the analytical modelling of such a system.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available