کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4991401 | 1457111 | 2017 | 41 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Numerical investigation for performance indices and categorical designs of a fan-assisted data center cooling system
ترجمه فارسی عنوان
بررسی عددی برای شاخص های عملکرد و طرح های قطعی یک سیستم خنک کننده مرکز داده کمک فن
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
جریان سیال و فرایندهای انتقال
چکیده انگلیسی
The majority of contemporary data centers incorporate raised hot/cold-aisle designs that provide advanced cooling systems. However, while these solutions have proven to be effective, more advanced techniques are required that are energy efficient and capable of controlling the distribution of air to an optimal rate. Through implementing multivariate analysis of variance (MANOVA) and examining how variations in key categorical parameters have an impact on the air distribution and metric thermal features, this paper described the application of fan-assisted floor perforations, both with and without a tile flow-straightening effect, as a method of enhancing the performance of a data center cooling system. In addition, the non-dimensional parametric study employed the Rack-level Supply Heat Index (RLSHI) to evaluate the cooling operation of a data center configuration that included fan-assisted floor perforations. The research concluded that the incorporation of fan-assisted floor cooling systems, via the use of the well-constructed performance indices and categorical designs, could significantly enhance the energy arrangements and efficiencies of data centers.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Thermal Engineering - Volume 118, 25 May 2017, Pages 714-723
Journal: Applied Thermal Engineering - Volume 118, 25 May 2017, Pages 714-723
نویسندگان
Zhihang Song,