Power efficiency management system suitable for big data center and control method

Abstract

The invention discloses a power efficiency management system suitable for a big data center and a control method. The power efficiency management system comprises a temperature control pipeline, a temperature measurement system and a temperature control system; the temperature control pipeline is based on computational fluid mechanics, a finite element method and existing building design parameters; the temperature measurement system focuses on system optimization configuration, and relates to a global temperature conduction coefficient, a local temperature conduction coefficient, a temperature control equipment sensitivity table and an HVAC temperature element regulation capability quantification index; and the control mode of the temperature control system is layered, partitioned and graded control and is combined with predictive control and optimal control. Heat energy generated by the big data center is effectively dissipated in a mode of arranging a temperature control pipeline system, so that the energy consumption of an HVAC system is greatly reduced, the purposes of greenness and energy conservation are achieved, the singleness of a temperature control mode of a traditionalbig data center HVAC system is overcome, the temperature control efficiency is improved, and accurate control over the flow speed of a cooling medium and optimal control over uniform temperature distribution are effectively achieved.

Description

technical field [0001] The invention relates to the field of electric power energy efficiency management, in particular to an electric power energy efficiency management system and control method suitable for large data centers. Background technique [0002] Big data center, that is, the infrastructure that provides computing, storage, communication, power, and cooling services for large amounts of data, including various IT equipment (servers, switches, computers, workstations, etc.) and supporting facilities (power supply, lighting, and air conditioning, etc.) . With the high popularity of big data, Internet + and cloud computing industries around the world, in order to improve the experience and reliability of data center service users, the demand for big data centers is also increasing. Due to the high-speed calculation of a large amount of data, the energy consumption level of the big data center is very high. With the development of the computing power of IT equipment...

AI Technical Summary

Problems solved by technology

Among them, the data center resource allocation strategy driven by service performance and reliability leads to the low resource utilization rate of the data center most of the time. The main reason is that the large energy consumption is mainly due to the lack of flexible energy efficiency control mechanism.

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