Thermal Performance Assessment of a Retrofitted Building Using an Integrated Energy and Computational Fluid Dynamics (IE - CFD) Approach
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Chowdhury, AA
Rasul, MG
Khan, MMK
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Elsevier BV
Abstract
The comfort of the occupant in the indoor thermal environment can be efficiently analysed using the principle of computational fluid dynamics (CFD) technique. This can be modelled as a difference of measure of a region equivalent to air circulation and diffusion in/out of the area. Other parameters influence the room operating condition and energy consumption by the building systems directly and indirectly over a period of time. This paper represents how to use comfort theory and CFD concepts to do a computational study of building comfort and improve the energy performance of the building during the summer and winter seasons in the subtropical climate. The occupants’ overall comfort evaluation results in the chosen building are recorded, taking into account the suitable climate-responsive heating, ventilation and air conditioning approach and envelope systems. The thermal CFD simulation model used in this study incorporates the most current turbulence simulation methodology appropriate for airflow modelling in buildings. The numerical comfort analysis methodology is used to analyse the indoor thermal condition, considering the Cooled Beam cooling system and BioPCM as an envelope solution for possible retrofitting. The simulation findings show that the uniform temperature distributions observed during working hours are adequate and demonstrate improved energy performance by the building systems. Moreover, the results suggest that the use of advanced computational fluid dynamics techniques is a valuable method for the analysis of human comfort in indoor spaces.
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33 Built Environment and Design, 40 Engineering, 3301 Architecture, 3302 Building, 7 Affordable and Clean Energy, 0906 Electrical and Electronic Engineering, 0913 Mechanical Engineering, Thermal analysis, Indoor comfort, Cooled Beam, BioPCM, CFD
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Energy Reports, ISSN: 2352-4847 (Print); 2352-4847 (Online), Elsevier BV, 8, 709-717. doi: 10.1016/j.egyr.2022.10.365
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© 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license. Peer-review under responsibility of the scientific committee of the 7th International Conference on Advances on Clean Energy Research, ICACER, 2022.
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Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International