Abstract

The thermal performance of a building refers to the process of modeling the energy transfer between a building and its surroundings. The objective of this work is to develop a new correlation to estimate the number of Nusselt predictions, to facilitate the design of the walls of buildings based on a numerical simulation with a computational fluid dynamics software which can be coupled after with the Lagrange polynomial interpolation method for high Rayleigh number. For this purpose, a building is modeled as a collection of basic elements (walls, rooms, etc.). Moreover, we developed a FORTRAN program to control the equation of high order. This method is for predicting exchange coefficient and estimating Nusselt number of convection to optimize the design of walls in buildings. This method was performed via the simulation and theoretical case.

Highlights

  • The thermophysical properties of the building envelope have been identified as key parameters in the determination and explanation of the energy performance of buildings and are widely used in models to predict the energy demand of the built stock.[1,2,3,4] The thermal building is a real problem in Algeria

  • In this article, computational fluid dynamics (CFD) software is used as a technique to modeling the behavior of fluid and the thermal convection in the external wall of the house with different Rayleigh numbers

  • This method is for predicting exchange coefficient of convection to optimize the design of walls in buildings before starting the wall construction for Rayleigh number equal to 105

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Summary

Introduction

The thermophysical properties of the building envelope have been identified as key parameters in the determination and explanation of the energy performance of buildings and are widely used in models to predict the energy demand of the built stock.[1,2,3,4] The thermal building is a real problem in Algeria. We developed a relationship that helps us to know the exchange ratio for each thickness e belongs to the interval [0, L/10] by the Lagrange polynomial interpolation method and we developed a FORTRAN program to control this equation. This method is for predicting exchange coefficient of convection to optimize the design of walls in buildings before starting the wall construction for Rayleigh number equal to 105

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