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Guidelines for developing efficient thermal conduction and storage models within building energy simulations

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journal contribution
posted on 2023-03-09, 12:38 authored by Jason Hillary, Ed J. Walsh, Amip Shah, Rongliang Zhou, Patrick WalshPatrick Walsh
Improving building energy efficiency is of paramount importance due to the large proportion of energy consumed by thermal operations. Consequently, simulating a building's environment has gained popularity for assessing thermal comfort and design. The extended timeframes and large physical scales involved necessitate compact modelling approaches. The accuracy of such simulations is of chief concern, yet there is little guidance offered on achieving accurate solutions whilst mitigating prohibitive computational costs. Therefore, the present study addresses this deficit by providing clear guidance on discretisation levels required for achieving accurate but computationally inexpensive models. This is achieved by comparing numerical models of varying discretisation levels to benchmark analytical solutions with prediction accuracy assessed and reported in terms of governing dimensionless parameters, Biot and Fourier numbers, to ensure generality of findings. Furthermore, spatial and temporal discretisation errors are separated and assessed independently. Contour plots are presented to intuitively determine the optimal discretisation levels and time-steps required to achieve accurate thermal response predictions. Simulations derived from these contour plots were tested against various building conditions with excellent agreement observed throughout. Additionally, various scenarios are highlighted where the classical single lumped capacitance model can be applied for Biot numbers much greater than 0.1 without reducing accuracy.

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History

Publication

Energy;125, pp. 211-222

Publisher

Elsevier

Note

peer-reviewed

Other Funding information

IRC

Rights

This is the author’s version of a work that was accepted for publication in Energy. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Energy, 2017, 125, pp. 211-222,https://doi.org/10.1016/j.energy.2017.02.127

Language

English

Also affiliated with

  • Bernal Institute
  • Stokes Research Institute

Department or School

  • School of Engineering

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