Numerical analysis for ground temperature variation
RK Singh, RV Sharma - Geothermal Energy, 2017 - Springer
RK Singh, RV Sharma
Geothermal Energy, 2017•SpringerThis paper aims to predict ground temperature variation with depth for time variant ambient
air temperature and solar radiation data for Jamshedpur, India. Finite difference method has
been used to discretise computational domain and a scheme has been employed to
determine the numerical solution. The numerical results have been validated with
experimental measurement of ground temperature. The diurnal temperature variation for the
hottest and the coldest days and annual variation for the year 2016 have been computed …
air temperature and solar radiation data for Jamshedpur, India. Finite difference method has
been used to discretise computational domain and a scheme has been employed to
determine the numerical solution. The numerical results have been validated with
experimental measurement of ground temperature. The diurnal temperature variation for the
hottest and the coldest days and annual variation for the year 2016 have been computed …
Abstract
This paper aims to predict ground temperature variation with depth for time variant ambient air temperature and solar radiation data for Jamshedpur, India. Finite difference method has been used to discretise computational domain and a scheme has been employed to determine the numerical solution. The numerical results have been validated with experimental measurement of ground temperature. The diurnal temperature variation for the hottest and the coldest days and annual variation for the year 2016 have been computed. The diurnal temperature variation is found up to 0.4 m depth of soil whereas annual temperature variation is up to a depth of 4 m.
Springer
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