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- W4307003634 abstract "Chilled beams have been widely used in many regions of the world due to the high energy efficiency and satisfactory thermal comfort they provide. This paper employed a Computational Fluid Dynamics (CFD) based optimization strategy to develop a novel multi-mode chilled beam (MCB) that could merge the advantages of both passive chilled beam and active chilled beam units. Depending on the specific thermal requirement of indoor space, the novel chilled beam could operate as three different modes which were fast cooling mode, fast heating mode and gentle cooling mode. With the optimal design parameters achieved through numerical optimization, a prototype was built for model validation and a comprehensive performance evaluation. Results showed that the cooling and heating capacities of the optimized MCB unit could reach 3600 W and 4000 W, respectively. Compared with conventional HVAC systems, MCB system improved the energy efficiency by 9.2% under gentle cooling mode and by 19.0% under fast cooling mode. The noise level for the new chilled beam could be as low as 19.8 dB, providing a good acoustic performance. The CFD based optimization strategy, followed by experimental validation, proved to be an effective and efficient approach for developing a novel chilled beam unit." @default.
- W4307003634 created "2022-10-22" @default.
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- W4307003634 date "2023-01-01" @default.
- W4307003634 modified "2023-10-16" @default.
- W4307003634 title "Numerical optimization and experimental study of a novel multi-mode chilled beam" @default.
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- W4307003634 doi "https://doi.org/10.1016/j.applthermaleng.2022.119510" @default.
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