دانلود مقاله ISI انگلیسی شماره 138698
ترجمه فارسی عنوان مقاله

طراحی مراکز داده با استفاده از سلول های سوخت برای قابلیت اطمینان و قابلیت اطمینان کافی

عنوان انگلیسی
Design of fuel cell powered data centers for sufficient reliability and availability
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
138698 2018 11 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Journal of Power Sources, Volume 384, 30 April 2018, Pages 196-206

ترجمه کلمات کلیدی
سلول سوختی، مرکز اطلاعات، معماری سیستم، قابلیت اطمینان، دسترسی،
کلمات کلیدی انگلیسی
Fuel cell; Data center; System architecture; Reliability; Availability;
پیش نمایش مقاله
پیش نمایش مقاله  طراحی مراکز داده با استفاده از سلول های سوخت برای قابلیت اطمینان و قابلیت اطمینان کافی

چکیده انگلیسی

It is challenging to design a sufficiently reliable fuel cell electrical system for use in data centers, which require 99.9999% uptime. Such a system could lower emissions and increase data center efficiency, but the reliability and availability of such a system must be analyzed and understood. Currently, extensive backup equipment is used to ensure electricity availability. The proposed design alternative uses multiple fuel cell systems each supporting a small number of servers to eliminate backup power equipment provided the fuel cell design has sufficient reliability and availability. Potential system designs are explored for the entire data center and for individual fuel cells. Reliability block diagram analysis of the fuel cell systems was accomplished to understand the reliability of the systems without repair or redundant technologies. From this analysis, it was apparent that redundant components would be necessary. A program was written in MATLAB to show that the desired system reliability could be achieved by a combination of parallel components, regardless of the number of additional components needed. Having shown that the desired reliability was achievable through some combination of components, a dynamic programming analysis was undertaken to assess the ideal allocation of parallel components.