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GB/T 32910.3-2016 English PDF (GBT32910.3-2016)

GB/T 32910.3-2016 English PDF (GBT32910.3-2016)

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GB/T 32910.3-2016: Data center -- Resource utilization -- Part 3: Electric energy usage effectiveness requirements and measuring methods

This Part of GB/T 32910 gives the electric energy effectiveness grades and the factors affecting the electric energy effectiveness in the data center; specifies the measuring and computing methods of electric energy effectiveness in the data center. This Part is applicable to the measurement of the electric energy consumption in the data center and the calculation of the electric energy usage effectiveness; it is also applicable to analyze the electric energy effectiveness state in the data center for the reference of design, construction, operation, maintenance and transformation of the data center; it can serve as the assessment basis for the electric energy effectiveness levels in the data center.
GB/T 32910.3-2016
NATIONAL STANDARD OF THE
PEOPLE REPUBLIC OF CHINA
ICS 35.020
L 04
Data Center ?€? Resource Utilization -
Part 3: Electric Energy Usage Effectiveness
Requirements and Measuring Methods
ISSUED ON: AUGUST 29, 2016
IMPLEMENTED ON: MARCH 01, 2017
Issued by: General Administration of Quality Supervision, Inspection and Quarantine;
Standardization Administration of PRC.
Table of Contents
Foreword ... 4
1 Scope ... 6
2 Normative References ... 6
3 Terms and Definitions ... 6
4 Abbreviation ... 8
5 Data Center Electric Energy Usage Effectiveness Grades and Requirements ... 8
6 Affecting Factor Classification of Data Center Electric Energy Usage
Effectiveness ... 9
6.1 Basis for affecting factor classification of data center electric energy usage effectiveness ... 9
6.2 Data center security level ... 9
6.3 Data center usage nature ... 10
6.4 Data center information equipment load usage rate ... 10
6.5 Data center located climate environment ... 10
6.6 Cooling mode of the air conditioner in the data center ... 11
7 Measurement Method of Energy Consumption in Data Center ... 12
7.1 Overview ... 12
7.2 Measuring equipment ... 12
7.3 Measuring position ... 12
7.4 Conditional requirements of measurement ... 14
7.5 Standard measurement method of energy consumption ... 14
7.6 Short-term energy consumption measurement method ... 15
8 Data Center EEUE Calculation ... 15
8.1 Data center EEUE definition ... 15
8.2 Data center EEUE adjustment value ... 16
8.3 Calculation method of EEUE by using standard energy consumption
measurement method ... 17
8.4 Calculation method of EEUE by using short-term energy consumption
measurement method ... 18
Appendix A (Informative) Climate Type in Major Cities across the Country ... 19 Appendix B (Informative) Disclosure Requirements for EEUEmod.val. and
EEUEact.val... 20
Foreword
GB/T 32910 Data Center ?€? Resource Utilization has issued or plans to issue the following parts:
--- Part 1: Terminology;
--- Part 2: Setting Requirement for Key Performance Indicators;
--- Part 3: Energy Usage Effectiveness Requirements and Measuring Methods; --- Part 4: Renewable Energy Utilization;
--- Part 5: Data Format for Resource Monitoring Management System;
--- Part 6: General Requirements for Distributed Energy Construction;
--- Part 7: Energy Effectiveness Management Practices.
This Part belongs to Part 3 of GB/T 32910.
This Part was drafted as per the rules specified in GB/T 1.1-2009.
Please note some contents of this document may involve patents. The issuing agency of this document does not assume the responsibility to identify these patents. This Part was proposed by and under the jurisdiction of National Technical Committee for Standardization of Information Technology (SAC/TC 28).
Drafting organizations of this Part: China Electronics Standardization Institute; State Grid Information and Telecommunication Co., Ltd.; Energy Research Institute, National Development and Reform Commission; Beijing Kejitong Electronic Engineering Co., Ltd.; Inspur Electronic Information Industry Co., Ltd.; Huawei Technologies Co., Ltd.; Tsinghua University; Institute of Computing Technology, Chinese Academy of Sciences; CECT China Communications Co., Ltd.; China Mobile Communications Group Co., Ltd.; Information Center of National Energy Administration; Standards Information Center, Standardization Administration of China; Beijing Forestry University; National Government Offices Administration; GDS Services Co., Ltd.; ZTE Corporation; Beijing Nayuanfeng Science and Technology Development Co., Ltd.; National Engineering Research Center for Multimedia Software, Wuhan University; Beijing Tongheshiyi Telecom Science and Technology Research Institute Co., Ltd.; China-Scicooling (Beijing) Science and Technology Co., Ltd.; and Beijing Great Wall Electronic Engineering Technology Co., Ltd.
Chief drafting staffs of this Part: Gao Qipeng, Wang Lijian, Lv Junfeng, Feng Shengbo, Li Zhen, Liu Yu, Huang Qunji, Zhao Jizhi, Huang Tao, Chen Jie, Xue Zhiwei, Lin Li, Data Center ?€? Resource Utilization -
Part 3: Electric Energy Usage Effectiveness
Requirements and Measuring Methods
1 Scope
This Part of GB/T 32910 gives the electric energy effectiveness grades and the factors affecting the electric energy effectiveness in the data center; specifies the measuring and computing methods of electric energy effectiveness in the data center. This Part is applicable to the measurement of the electric energy consumption in the data center and the calculation of the electric energy usage effectiveness; it is also applicable to analyze the electric energy effectiveness state in the data center for the reference of design, construction, operation, maintenance and transformation of the data center; it can serve as the assessment basis for the electric energy effectiveness levels in the data center.
2 Normative References
The following documents are essential to the application of this document. For the dated documents, only the versions with the dates indicated are applicable to this document; for the undated documents, only the latest version (including all the amendments) are applicable to this document.
GB/T 2887-2011 General Specification for Computer Field
3 Terms and Definitions
For the purpose of this document, the following terms and definitions apply. 3.1 Data center electric energy usage effectiveness
The ratio between the data center total electric energy consumption and information equipment electric energy consumption during the same time period.
3.2 Data center total electric energy consumption
The sum of all electric energy consumed to maintain the normal operation of the data The data center electric energy usage effectiveness directly derived from the measurement value of electric energy consumption of each component in the data center.
3.11 Adjustment value
The value used to compensate its system difference and to adjust the actual measurement values of electric energy usage effectiveness, considering the difference by adopting the different cooling technologies, load usage rates, data center levels, different climate environments during the computing process of the EEUEmod. val. NOTE: Since the system error can?€?t be fully known, such compensation is incomplete. 3.12 Modified value of electric energy usage effectiveness
For data centers with different conditions, the value obtained by subtracting the actual measured value of data center electric energy usage effectiveness from the adjustment value gotten by considering the system variation conditions.
3.1.3 Data center information equipment load rate
The ratio between the actual electric load of the data center information equipment and the design electric load of the data center information equipment.
3.14 Data center security level
The level defined by the degree of damage to the national security, social order, public interest, according to the post-interruption of the computer system in the data center. 4 Abbreviation
EEUE: electric energy usage effectiveness
EEUEact. val.: actual measurements of electric energy usage effectiveness EEUEmod. val.: amended measurements of electric energy usage effectiveness PDU: power distribution unit
UPS: uninterrupted power supply
5 Data Center Electric Energy Usage Effectiveness
6.3 Data center usage nature
The computer system running business in the data center has periodicity, such as continuous stable running business and random intermittent running business: a) Continuous stable running business: It undertakes the operation task all the year round; the electric energy consumption changes regularly; the daily fluctuation of data center information equipment energy consumption is relatively small; such as the internet data center, etc.
b) Random intermittent running business: It undertakes the phased operation task; the fluctuation of electric energy consumption is greater; such as super- computing data center, etc.
the data center operating the random intermittent running business has a large energy consumption fluctuation.
6.4 Data center information equipment load usage rate
The data center information equipment load usage rate can be divided into under-load, semi-load, over-load and full-load:
a) Under-load: the data center information equipment load usage rate is less than 25%.
b) Semi-load: the data center information equipment load usage rate is greater than or equal to 25%, while less than 50%.
c) Over-load: the data center information equipment load usage rate is greater than or equal to 50%, while less than 75%.
d) Full-load: the data center information equipment load usage rate is greater than or equal to 75%; while less than or equal to 100%.
6.5 Data center located climate environment
According to the located region, the climate types of the data center can be divided into: data centers in severe cold regions, data centers in cold regions, data centers in hot summer and cold winter regions, data center in hot summer and warm winter regions, and data centers in moderate regions.
China?€?s general thermal design for buildings can be divided into 5 climate zones. The names and indicators of zones are shown in Table 2.
Table 2 ?€? China?€?s Climate Zones List
Names of climate
zones
Indicators of climate zones
Main indicators Ancillary indicators
7 Measurement Method of Energy Consumption in Data
Center
7.1 Overview
The measurement method of data center electric energy consumption refers to the use of a unified method to measure the electric energy consumption of the data center and its subsystems; including measurement range, selection of measurement points, processing of measurement parameters, and measurement equipment requirements, etc.
Since most data center load electric power characteristics are non-constant power, the standard method of obtaining electricity consumption data is obtained by means of energy metering statistics instead of using a power meter in a sampling method. Data center cooling system electric energy consumption is the largest electric energy consumption except the information equipment electric energy consumption in the data center; it is also important factor affecting the EEUE. Because of seasonable fluctuation of data center cooling system electric energy consumption, the EEUE statistics are based on the one year as a standard period.
Data center electric energy usage effectiveness statistics range shall include main working room and the first type of auxiliary room specified in GB/T 2887-2011; exclude the second type of auxiliary room and the third type of auxiliary room. 7.2 Measuring equipment
Electric energy metering device: accuracy of Level-1.
7.3 Measuring position
Data center shall at least install or set the electric energy metering device in the following locations or select as measurement point:
a) The measurement location of the total electric energy consumption of the data center shall be the low voltage side of the transformer (see Point A in Figure 1). b) When PDU has no isolation transformer, the measurement location of the data center information equipment electric energy consumption shall be the power supply circuit of UPS output terminal (see Point B in Figure 1).
c) When PDU is equipped with isolation transformer, the measurement location of the data center information equipment electric energy consumption shall be the power supply circuit of PDU output terminal (see Point C in Figure 1).
7.4 Conditional requirements of measurement
The specific measurement conditions are as follows:
a) The temperature, humidity and illuminance in the chamber shall be in accordance with the relevant requirements of GB/T 2887-2011.
b) Fully utilize the originally designed existing distribution facilities and low-voltage distribution monitoring system; combine the quantity and placement of
measuring instruments, metering boxes, data collectors required for rationally designed metering system on site.
c) The data center electric energy meter shall not share the transformer with the meter of the power supply department; and shall not be connected in series with the billing meter.
d) The electric energy meter shall be equipped with a data output interface. e) The meter sampling period shall be 15min or 1h.
f) It is advisable to establish the electric energy usage effectiveness management system, so that realize the statistic sand analysis of the electric energy consumption data; and automatic calculation of the energy effectiveness indicators.
7.5 Standard measurement method of energy consumption
The standard measurement method of energy consumption refers to continuous measurement of the energy consumption of each system used to calculate the data center EEUE for one year.
The measurement procedures of standard energy consumption are as follows: a) According to the actual situation of the data center, select the measurement points basing on the measurement plan and as per the provisions of 7.3. b) Place the electric energy meter meeting the requirements of 7.2 on the selected measurement point.
c) When the electric energy meter has the remote transmission of the data function, ensure that all installed electric energy meters can communicate with the energy usage effectiveness management system.
d) Start each component of the energy usage effectiveness management system; start to real-time collection of the electric energy consumption in the data center. e) The energy usage effectiveness management system analyzes the collected

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