A reliable numerical model for assessing the thermal behavior of a dome building. (November 2020)

• Record Type: Journal Article
• Authors: Pokorska-Silva, Iwona; Kadela, Marta; Fedorowicz, Lidia
• Is Part Of: Journal of building engineering. Volume 32(2021)
• Publication Date: 2020-11
• Subjects: Model reliability -- Temperature of building envelope surface -- Dome-shaped object -- Heat flux; Building -- Periodicals; 690.05
• DOI: 10.1016/j.jobe.2020.101706
• Languages: English
• ISSNs: 2352-7102

Abstract

Abstract : The thermal assessment of a building is very important for the selection of heating installations, ensuring the well-being of its users and a sustainable building lifecycle. The purpose of the research was to recreate numerically the thermal behavior of a building in time. Numerical analyses and in-situ tests were carried out. The temperature of the envelope surface of a dome-shaped building and climatic parameters were measured in real conditions. The results were used to verification of the numerical model of the building. The object was described by coupled equations of heat and mass transfer, which were solved by the finite volume method. The influence of time discretisation and the physical properties of the envelope materials (ρ, c, λ, ε, α) on the temperature of the external envelope surface were determined. It was demonstrated that the absorption coefficient of the external layer material was influential on the results. Based on the results of the numerical analyses and in-situ test was to ascertain the reliability of numerically recreate of the building thermal behavior. Method of creating reliable numerical model of a dome building, with application of general data from a typical meteorological year in order to assess its thermal behavior was determined. Highlights: Results of in-situ tests of the external building envelope temperature. Impact of physical properties of the envelope materials on numerical test results. Recreation of thermal behaviour of building in numerical model. Differences of building wall surface temperatures according to orientation and inclination. Reliability of thermal calculation using finite element volume analysis and climatic data of a typical meteorological year.