Conference Papers Year : 2025

Investigating the sustainable design of a shipping container building using advanced building energy modeling and Bayesian inference

Abstract

Modular buildings demonstrate environmental benefits in raw material usage but vary in energy performance by climate. Our research evaluates the energy performance of a modular educational building by calibrating a Building Energy Model (BEM) with operational data and Bayesian inference. As expected, this case study reveals that energy model calibration is not required when sufficient knowledge about the building is available. Furthermore, our Central Mechanical Ventilation (CMV) schedule is essential information, and its omission leads to an uncalibrated model. Although calibrating the degraded model meets American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) standards, the original model remains more accurate. Finally, implementing seasonal modeling that aligns with the building's annual dynamics is a promising enhancement, though it requires more data.

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hal-05223168 , version 1 (26-08-2025)

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Quentin Laporte-Chabasse, Florian Bouny, Mohammad Valizadeh, Jean-Daniel Penot, Pierre-Antoine Cormier. Investigating the sustainable design of a shipping container building using advanced building energy modeling and Bayesian inference. Building Simulation, IBPSA, Aug 2025, Brisbane (AU), Australia. ⟨10.26868/25222708.2025.1414⟩. ⟨hal-05223168⟩
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