Boost full bridge DC-DC converter ensuring safe installation of PV energy in data center power management systems

Author(s):  
Satoshi Ikeda ◽  
Fujio Kurokawa
Author(s):  
Amip J. Shah ◽  
Van P. Carey ◽  
Cullen E. Bash ◽  
Chandrakant D. Patel

Data centers today contain more computing and networking equipment than ever before. As a result, a higher amount of cooling is required to maintain facilities within operable temperature ranges. Increasing amounts of resources are spent to achieve thermal control, and tremendous potential benefit lies in the optimization of the cooling process. This paper describes a study performed on data center thermal management systems using the thermodynamic concept of exergy. Specifically, an exergy analysis has been performed on sample data centers in an attempt to identify local and overall inefficiencies within thermal management systems. The development of a model using finite volume analysis has been described, and potential applications to real-world systems have been illustrated. Preliminary results suggest that such an exergy-based analysis can be a useful tool in the design and enhancement of thermal management systems.


Author(s):  
Chenggang Yuan ◽  
Min Pan ◽  
Andrew Plummer

Digital hydraulics is a new technology providing an alternative to conventional proportional or servovalve-controlled systems in the area of fluid power. Research is driven by the need for highly energy efficient hydraulic machines but is relatively immature compared to other energy-saving technologies. Digital hydraulic applications, such as digital pumps, digital valves and actuators, switched inertance hydraulic converters (SIHCs) and digital hydraulic power management systems, all promise high energy efficiency. This review introduces the development of SIHCs and evaluates the device configurations, performance and control strategies that are found in current SIHC research, particularly focusing on the work being undertaken in last 15 years. The designs for highspeed switching valves are evaluated, and their advantages and limitations are discussed. This article concludes with some suggestions for the future development of SIHCs.


Author(s):  
Т.С. Аббасова

Проанализированы типовые устройства вычислительной техники для реализации облачных систем управления на основе оборудования центров обработки данных. Поставлена задача сформулировать виды контроля исследуемых устройств; найти расчетные соотношения для определения показателей, характеризующих виды контроля; а также определить средства технического мониторинга, контролирующие облачные системы управления. Проанализированы характеристики широко применяющегося в облачных системах управления сервиса резервного копирования и восстановления данных. Разработаны оценки для контроля параметров облачных систем управления. Typical computing devices for implementing cloud-based control systems based on data center equipment are analyzed. The task is to formulate the types of control of the studied devices; find the calculated ratio to determine indicators characterizing the types of control; and identify technical monitoring tools that control cloud-based management systems. The characteristics of the backup and data recovery service widely used in cloud management systems are analyzed. Estimates have been developed to control the parameters of cloud-based management systems.


Author(s):  
J.R. Bartoletti ◽  
D.J. West ◽  
R.C. Patterson ◽  
R.G. Durso ◽  
L.J. Powell ◽  
...  

Author(s):  
Amip J. Shah ◽  
Van P. Carey ◽  
Cullen E. Bash ◽  
Chandrakant D. Patel

As heat dissipation in data centers rises by orders of magnitude, inefficiencies such as recirculation will have an increasingly significant impact on the thermal manageability and energy efficiency of the cooling infrastructure. For example, prior work has shown that for simple data centers with a single Computer Room Air-Conditioning (CRAC) unit, an operating strategy that fails to account for inefficiencies in the air space can result in suboptimal performance. To enable system-wide optimality, an exergy-based approach to CRAC control has previously been proposed. However, application of such a strategy in a real data center environment is limited by the assumptions inherent to the single-CRAC derivation. This paper addresses these assumptions by modifying the exergy-based approach to account for the additional interactions encountered in a multi-component environment. It is shown that the modified formulation provides the framework necessary to evaluate performance of multi-component data center thermal management systems under widely different operating circumstances.


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