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AuthorAhmed K.
AuthorAl-Khawaja M.
AuthorSuleiman M.
Available date2020-03-18T08:10:11Z
Publication Date2018
Publication NameIOP Conference Series: Materials Science and Engineering
ResourceScopus
ISSN17578981
URIhttp://dx.doi.org/10.1088/1757-899X/383/1/012034
URIhttp://hdl.handle.net/10576/13362
AbstractIn Ground Source Heat Pumps (GSHP), Energy Piles pose as heat exchangers that transfer the heat from the buildings to the shallow ground lower temperature in order to decrease the energy consumption whilst cooling the buildings. These piles are mainly designed for highest possible thermal conductance. In this paper, nine factors influencing the thermal conductance of the energy pile are defined and statistically evaluated. These nine factors are; number of tubes, pile diameter, tube diameter, tube thickness, tube location, pile conductivity, tube conductivity, soil conductivity, and water flow rate. The thermal conductance of the energy pile is calculated using finite element model. The significance of these factors is evaluated using fractional factorial uniform design of experiment. The results show significance increase in the pile thermal conductance with the increase of the tube diameter, number of tubes, water flow rate, and tube and pile thermal conductivities. Furthermore, the tubes location near the pile outer surface show significant increase in the pile thermal conductance. On the other hand, decreasing pile diameter slightly increases the pile thermal conductance. Nevertheless, the soil thermal conductivity has shown insignificant effects on the pile thermal conductance. ? Published under licence by IOP Publishing Ltd.
SponsorThis publication was made possible by grant No. NPRP 7-725-2-270 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
Languageen
PublisherInstitute of Physics Publishing
Subjectenergy pile conductance
finite element
fractional factorial design
TitleOptimization of energy pile conductance using finite element and fractional factorial design of experiment
TypeConference Paper
Issue Number1
Volume Number383


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