Numerical analysis for ground temperature variation

oleh: Raviranjan Kumar Singh, Ram Vinoy Sharma

Format: Article
Diterbitkan: SpringerOpen 2017-11-01

Deskripsi

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.