A simple heat and moisture transfer model to predict ground temperature for shallow ground heat exchangers

Autor: Maha Chalhoub, Michel Bernier, Yves Coquet, Mikael Philippe
Přispěvatelé: Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), Département de génie mécanique, Polytechnique Montréal, École Polytechnique de Montréal (EPM), Institut des Sciences de la Terre d'Orléans - UMR7327 (ISTO), Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers en région Centre (OSUC), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), Biogéosystèmes Continentaux - UMR7327, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Bureau de Recherches Géologiques et Minières (BRGM) (BRGM)-Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers en région Centre (OSUC), postdoctoral position granted by the CARNOT fund (French National Agency for Research).
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Renewable Energy
Renewable Energy, Elsevier, 2017, 103, pp.295-307. ⟨10.1016/j.renene.2016.11.027⟩
ISSN: 0960-1481
1879-0682
DOI: 10.1016/j.renene.2016.11.027⟩
Popis: International audience; A simple model is proposed to describe transient heat and moisture transfer in the soil under moderate climates to predict near surface ground temperatures using a minimum set of variables and easily accessible weather data. The model is computationally efficient enough to allow for multi-year simulations of shallow ground heat exchangers. It uses a realistic representation of the interactions between the main processes occurring at the soil surface and the heat and moisture dynamics in the soil including the influence of water content on soil thermal properties. The model has been tested against soil temperature measurements taken at different depths (from 0.06 to 1.5 m) on a grass-covered site. Measurements, including meteorological data, were recorded with a time step of 10 min for one year. It is shown that the agreement between soil temperatures predicted by the proposed model and measurements is relatively good for either dry or rainy conditions. Average errors are between +0.47 and + 1.63 °C. Furthermore, this study shows that a proper account of the soil surface cover and site-specific soil properties is necessary to obtain accurate soil temperature predictions.
Databáze: OpenAIRE