ITU-T SERIES L SUPP 9-2014 ITU-T L 1300 C Supplement on case study of reduction of air-conditioning energy by optical fibre based thermometry (Study Group 5)《ITU-T L 1300 补充对降低空调能源.pdf

《ITU-T SERIES L SUPP 9-2014 ITU-T L 1300 C Supplement on case study of reduction of air-conditioning energy by optical fibre based thermometry (Study Group 5)《ITU-T L 1300 补充对降低空调能源.pdf》由会员分享，可在线阅读，更多相关《ITU-T SERIES L SUPP 9-2014 ITU-T L 1300 C Supplement on case study of reduction of air-conditioning energy by optical fibre based thermometry (Study Group 5)《ITU-T L 1300 补充对降低空调能源.pdf（18页珍藏版）》请在麦多课文档分享上搜索。

1、 I n t e r n a t i o n a l T e l e c o m m u n i c a t i o n U n i o n ITU-T Series L TELECOMMUNICATION STANDARDIZATION SECTOR OF ITU Supplement 9 (12/2014) SERIES L: CONSTRUCTION, INSTALLATION AND PROTECTION OF CABLES AND OTHER ELEMENTS OF OUTSIDE PLANT ITU-T L.1300 Supplement on case study of redu

2、ction of air-conditioning energy by optical fibre based thermometry ITU-T L-series Recommendations Supplement 9 L series Supplement 9 (12/2014) i Supplement 9 to ITU-T L-series Recommendations ITU-T L.1300 Supplement on case study of reduction of air-conditioning energy by optical fibre based thermo

3、metry Summary Supplement 9 to the ITU-T L series of Recommendations refers to the best practices defined in Recommendation ITU-T L.1300. More precisely, this Supplement provides details of a case study related to the reduction of the energy spent for air conditioning through the use of optical fibre

4、 based thermometry. A general description of the temperature measurement is provided, then the optimization process for the air conditioning is highlighted. Finally, the results of temperature measurements made using optical fibre sensors are shown. History Edition Recommendation Approval Study Grou

5、p Unique ID* 1.0 ITU-T L Suppl. 9 2014-12-19 5 11.1002/1000/12437 Keywords Best practice, data centre, energy efficient, information and communication technology and climate change (ICT factors used to optimize the air-conditioning environment of data centres; and results of case studies of temperat

6、ure measurements made using optical fibre sensors. 2 Definitions None. 3 Abbreviations and acronyms None. 4 Introduction Information and communication technology (ICT) systems, which support the ICT society, have been expanding remarkably in recent years due to the spread of the Internet infrastruct

7、ure and deployment of high-performance servers and other high-end computing systems. This trend has been accompanied by a dramatic increase in the floor space required for data centres and the number of servers that they are required to accommodate, which has resulted in a significant increase in th

8、e power consumption of data centres. A data centre has many servers, generally from a few tens to several thousands, and the working servers generate a considerable amount of waste heat. As a result, air conditioning systems using large-scale air-conditioning equipment have become essential for cool

9、ing these servers and keeping the room temperature below a specified value. The power required for air conditioning however, has risen to about 40% of the total power consumed by data centres (see Figure 1). Hence, in order to achieve an energy-efficient data centre, reduction of air-conditioner pow

10、er consumption is unavoidable. Figure 1 Energy consumption ratio in data centres 2 L series Supplement 9 (12/2014) Achieving energy-efficient air conditioning requires not only the deployment of high-efficiency air-conditioning equipment, but also optimization of the cooling conditions at the target

11、 locations. The temperature settings in server rooms are often rather low to prevent server overheating, despite the fact that excessive cooling results in energy loss. There is also concern that cooling efficiency would decrease due to a temperature increase of the cooling air that would occur due

12、to exhaust air being drawn back into the system for various reasons, and supplied to points (e.g., server intake panels) designed to be supplied with chilled air. Thus, to achieve energy conservation by optimizing the air-conditioning system, an accurate and detailed temperature distribution in the

13、vicinity of servers must be obtained. Temperature measurements have traditionally been performed using discrete temperature sensors such as thermocouples, thermistors, platinum resistance thermometer bulbs, or integrated-circuit-type temperature sensors. However, taking into consideration the temper

14、ature measurement of a few hundred to several thousand servers, it is impractical to utilize discrete sensors due to several limitations which include high construction cost, difficulty in installation of signal-circuits, difficulty in shortening of measurement time, and so on. Accordingly, to achie

15、ve a temperature measurement technique that can handle such a large array of servers, an optical-fibre-based temperature measurement technique has been developed and tested to prove its usability to reduce the energy consumption in data centres. 5 General description of temperature measurement using

16、 optical fibre sensors 5.1 Principle and system configuration Raman scattered light measurement is widely used in optical-fibre-based thermometric sensing methods. Raman scattered light is generated in a transparent substance when irradiated with a strong LASER stimulating light. Raman scattered lig

17、ht consists of two types of light rays called anti-Stokes light and Stokes light. Anti-Stokes light has a 50 nm shorter wavelength than the injected light, and it is sensitive to the temperature changes in the optical fibre. Stokes light has a 50 nm longer wavelength than the injected light and it i

18、s not as sensitive to temperature changes. By measuring the intensity ratio of these two types of light, the temperature distribution along the entire length of an optical fibre can be determined. In more detail, a LASER light in the form of short pulses, with pulse widths of several nanoseconds, is

19、 injected into an optical fibre. Then, while the light propagates through the optical fibre, the backscattered intensity of Raman-scattered light generated at various locations in the optical fibre is measured together with the delayed propagation time. The principle behind this technology is shown

20、in Figure 2. The change in intensity versus propagation time is plotted (see Figure 2, upper right). Signal conversions from propagation time to fibre distance and from light intensity to temperature (see Figure 2, lower right) gives the temperature distribution along the fibre. The distances of loc

21、ations are computed by multiplying the delayed propagation time of the Raman scattered light by the speed of the light propagation in the optical fibre (about 2 108 m/s). In a 10-km-long optical fibre, for example, excitation light takes about 50 s to arrive at the other end, which means that temper

22、ature information along the entire 10 km of the optical fibre can be obtained within about 100 s. L series Supplement 9 (12/2014) 3 Figure 2 Principle of temperature measurement by optical fibre The temperature distribution measurement in optical fibres using Raman scattered light is considered to b

23、e very promising for real-time multipoint thermometry. 5.2 Features Optical-fibre-based thermometry has some excellent features described below: real-time multi-point measurement; since the temperature measurement is carried out based on an optical process, up to 10,000 temperature data points along

24、 a fibre laid over a target area can be obtained within every 30 s intervals; high resolution and high accuracy; maximum resolution is 10 cm, and accuracy is 1C; provides the capability to visualize temperature distribution. By utilizing high resolution thermometry given above, the temperature distr

25、ibution in a data centre can be obtained as thermographic image data. A user can easily understand the thermal environment of the data centre, and use of this information would help to improve the air-conditioning efficiency. 6 Optimizing air-conditioning environment of data centres According to the

26、 temperature distribution, the air-conditioned environment energy efficiency can be improved by optimising several air-conditioning parameters. For example, air flow direction, flow rate, and temperature control settings are the most effective parameters for improving the energy efficiency. 7 Case s

27、tudies 7.1 Basic optical fibre layout A representative optical fibre layout is shown in Figure 3. The rack installation pattern is almost rectangular along each front side and back side door frames. Optical fibre laid on the front side door is more important to monitor the temperature of the inlet c

28、ooling air to each server. Optical fibres on each door were connected together at the base of each server rack to make a single optical fibre circuit. 4 L series Supplement 9 (12/2014) Fibre was attached to the ceiling in a parallel pattern with a spacing of 30-50 cm and 10-30 cm above from the top

29、of server racks. Figure 3 A typical optical fibre layout in a data centre 7.2 A trial at a compact server room A trial of site temperature measurements was conducted to improve the air-conditioning environment at a small server room; Fujitsu Kyushu Office. The server room was equipped with 14 server

30、 racks and 2 indoor air-conditioner units (see Figure 4). First, a conventional air-conditioning system was studied (see Figure 4-(A). From the data, it was found that the cold air from the air-conditioner was blowing in a direction almost straight and parallel to the longitudinal direction of the s

31、erver room. In this condition, supplied cold air was mixed with the hot exhaust from the servers, and the cooling efficiency of the severs was found to be rather low. Then, tuning of the wind direction and temperature setting were done while monitoring the temperature distribution using the optical

32、fibre thermometry system. Case 1: By changing the cold air direction as shown in Figure 5-(B), cooling efficiency was improved; this made it possible to increase the air-conditioner temperature. In this case, power consumption of air-conditioning system was reduced by 11%. Case 2: Without changing t

33、he cold air flow direction of case 1, one air-conditioner was stopped (see Figure 5-(C). Here, it was found that it is possible to supply cold air below 28C to all servers. From these two changes, it was possible to reduce the power consumption by 36% compared with the conventional conditions. Case

34、3: Another air-conditioner was stopped while keeping all the other conditions of case 2 unchanged (see Figure 5-(D). In this case, air-conditioning power consumption reduction was reached to 23%. Results of the above improvements are summarized in Table 1. Tuning of wind direction can be completed w

35、ithin 30 minutes for all cases. After tuning, it took 1 to 2 hours for measuring and verifying power consumption of the air conditioner. L series Supplement 9 (12/2014) 5 Figure 4 Server room layout Figure 5 Changes in temperature distribution due to variation in air flow direction 6 L series Supple

36、ment 9 (12/2014) Table 1 Summary of improvements for air conditioning Cooling condition Set temp. of air conditioner#1 Set temp. of air conditioner#2 Air flow direction Total power consumption of air conditioners (kW) Reduction rate Indoor unit Outdoor unit Conventional 22C 23C Mixed with hot exhaus

37、t 5.6 2.3 3,3 Case 1 Change of air flow direction 24C 24C Supplied to cold aisle 5.0 11% 2.3 2.7 Case 2 Stop AC#2 24C Shutdown Supplied to cold aisle 3.6 36% 1.2 2.4 Case 3 Stop AC#1 Shutdown 24C Supplied to cold aisle 4.3 23% 1.2 3.1 7.3 A trial at a large data centre Another trial was conducted in

38、 a large data centre; Fujitsu Numazu Cloud Centre. Optical fibre sensors were installed on more than 30 racks and more than 170 m2 ceiling area (see Figure 6). Figure 6 A photograph of the target data centre (Numazu) In this data centre, the initial set temperature of the air-conditioner was 19C, an

39、d it was found that there were several overcooled server racks (see Figure 7, left). The set temperature was gradually raised, and temperature distribution of all of the server racks and ceiling area was continuously measured to check whether abnormal temperature rise has occurred. When the set temp

40、erature reached to 2C above the original value (19C), some overheated spots appeared on the front side door of server racks (see Figure 7, right). To prevent any failure, this approach was interrupted immediately, and the cause of this problem was investigated. L series Supplement 9 (12/2014) 7 Figu

41、re 7 Result of rising for temperature setting of air-conditioner By detailed examination around the server racks, 2 types of problems were identified. 1) Hot exhaust backflow It was found that there were some vacant spaces in some server racks near to the hot spots. It is believed that hot exhaust r

42、eturned to the front side through these vacant spaces (see Figure 8, left). 2) Insufficient cooling air flow Cooling air was supplied through several floor grills to each server rack. It was noted that the floor grills had been placed unevenly. This led to insufficient cooling of the servers adjacen

43、t to the troubled server racks (see Figure 9, left). Figure 8 Air flow around servers in a server rack 8 L series Supplement 9 (12/2014) Figure 9 Installed position of floor grills Improvement of air flow was carried out as follows: Blank panels were installed to the vacant spaces in the server rack

44、s. The number of floor grills was increased, and installing positions were adjusted while checking the temperature distribution continuously. As a result, highly uniformed temperature distribution on each server rack was achieved, and the set temperature was able to increase further. As the final re

45、sult, the data centre set temperature was able to increase by 5.5C (see Figure 10). Although this study was conducted in only a part of the data centre, the power consumption reduction of air-conditioning system of the entire data centre was estimated to be about 6%. Figure 10 Improvement of tempera

46、ture distribution L series Supplement 9 (12/2014) 9 Bibliography b-ITU-T L.1300 Recommendation ITU-T L.1300 (2011), Best practices for green data centres. Printed in Switzerland Geneva, 2015 SERIES OF ITU-T RECOMMENDATIONS Series A Organization of the work of ITU-T Series D General tariff principles

47、 Series E Overall network operation, telephone service, service operation and human factors Series F Non-telephone telecommunication services Series G Transmission systems and media, digital systems and networks Series H Audiovisual and multimedia systems Series I Integrated services digital network

48、 Series J Cable networks and transmission of television, sound programme and other multimedia signals Series K Protection against interference Series L Environment and ICTs, climate change, e-waste, energy efficiency; construction, installation and protection of cables and other elements of outside

49、plant Series M Telecommunication management, including TMN and network maintenance Series N Maintenance: international sound programme and television transmission circuits Series O Specifications of measuring equipment Series P Terminals and subjective and objective assessment methods Series Q Switching and signalling Series R Telegraph transmission Series S Telegraph services terminal equipment Series T Terminals for telematic services Series U Telegraph switching Series V Data communication over the telephon