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5 results for “Air-cooled”
Seasonal analysis comparison of three air-cooling systems in terms of thermal comfort, air quality and energy consumption for school buildings in Mediterranean climates
<p>Efficient air-cooling systems for hot climatic conditions, such as Southern Europe, are required in the context of nearly Zero Energy Buildings, nZEB. Innovative air-cooling systems such as regenerative indirect evaporative coolers, RIEC and desiccant regenerative indirect evaporative coolers, DRIEC, can be considered an interesting alternative to direct expansion air-cooling systems, DX. The main aim of the present work was to evaluate the seasonal performance of three air-cooling systems in terms of air quality, thermal comfort and energy consumption in a standard classroom. Several annual energy simulations were carried out to evaluate these indexes for four different climate zones in the Mediterranean area. The simulations were carried out with empirically validated models. The results showed that DRIEC and DX improved by 29.8% and 14.6% over RIEC regarding thermal comfort, for the warmest climatic conditions, Lampedusa and Seville. However, DX showed an energy consumption three and four times higher than DRIEC for these climatic conditions, respectively. RIEC provided the highest percentage of hours with favorable indoor air quality for all climate zones, between 46.3% and 67.5%. Therefore, the air-cooling systems DRIEC and RIEC have a significant potential to reduce energy consumption, achieving the user’s thermal comfort and improving indoor air quality.</p>
Numerical and experimental dataset for an air-cooled data center
<p>This dataset contains the<em> </em><em>underling data</em><em> </em>for the papers:</p> <p><em>M. Kuzay, A. Dogan, S. Yilmaz, O. Herkiloglu, A.S. Atalay, C. Yilmaz, E. Demirel, Retrofitting of an air-cooled data center for energy efficiency, Case Studies in Thermal Engineering (2022), 36, 102228. <a href="https://doi.org/10.1016/j.csite.2022.102228">https://doi.org/10.1016/j.csite.2022.102228</a>.</em></p> <p><em>M. Kuzay, A. Dogan, S. Yilmaz, O. Herkiloglu, A.S. Atalay, C. Yilmaz, E. Demirel, Numerical and experimental dataset for an air-cooled data center, </em><em>Data in Brief (2022).</em></p> <p>All cases were prepared using OpenFOAM 8 for the simulation of flow and thermal structures inside the data center for both previous and retrofitted designs.</p> <p> </p> <p><strong><a href="https://doi.org/10.1016/j.csite.2022.102228">data.tar.xz</a>: </strong>Temperature data obtained from the experimental studies conducted for previous and retrofitted designs.</p> <p><strong><a href="http://doi.org/10.1016/j.csite.2022.102228">experimentalScenarios.tar.xz:</a> </strong>OpenFOAM files and scripts for the simulation of flow and thermal structures under the same thermal conditions as in the experimental studies for previous and retrofitted designs.</p> <p><strong><a href="http://doi.org/10.1016/j.csite.2022.102228">fictiousScenarios.tar.xz</a>: </strong>OpenFOAM files and scripts for the simulation of flow and thermal structures for a working scenario of 15.5 kW for previous and retrofitted designs.</p> <p><strong><a href="http://doi.org/10.1016/j.csite.2022.102228">postProcess.tar.xz</a>: </strong>Numerical results obtained from the validated numerical model.</p>
Effects analysis on energy density optimization and thermal efficiency enhancement of the air-cooled Li-ion battery modules
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Assessing the Effects of Air-cooling on Capillary Malformations
ClinicalTrials.gov study NCT01735734. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Co-design multi-objective 3D optimization methodology for battery modules: An active air-cooling study case
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.