Flow in data racks. 1 Aim/Motivation. 3 Data rack modification. 2 Current state. EPJ Web of Conferences 67, 02070 (2014)



Similar documents
CFD SIMULATION OF SDHW STORAGE TANK WITH AND WITHOUT HEATER

Natural Convection. Buoyancy force

Problem Statement In order to satisfy production and storage requirements, small and medium-scale industrial

THE CFD SIMULATION OF THE FLOW AROUND THE AIRCRAFT USING OPENFOAM AND ANSA

TWO-DIMENSIONAL FINITE ELEMENT ANALYSIS OF FORCED CONVECTION FLOW AND HEAT TRANSFER IN A LAMINAR CHANNEL FLOW

Multiphase Flow - Appendices

NUMERICAL ANALYSIS OF THE EFFECTS OF WIND ON BUILDING STRUCTURES

Turbulence Modeling in CFD Simulation of Intake Manifold for a 4 Cylinder Engine

How To Improve Energy Efficiency Through Raising Inlet Temperatures

GEOMETRIC, THERMODYNAMIC AND CFD ANALYSES OF A REAL SCROLL EXPANDER FOR MICRO ORC APPLICATIONS

Computational Fluid Dynamic Investigation of Liquid Rack Cooling in Data Centres

Effect of Rack Server Population on Temperatures in Data Centers

Express Introductory Training in ANSYS Fluent Lecture 1 Introduction to the CFD Methodology

Using CFD for optimal thermal management and cooling design in data centers

Analysis of the UNH Data Center Using CFD Modeling

DataCenter 2020: hot aisle and cold aisle containment efficiencies reveal no significant differences

Pushing the limits. Turbine simulation for next-generation turbochargers

Air, Fluid Flow, and Thermal Simulation of Data Centers with Autodesk Revit 2013 and Autodesk BIM 360

Using Computational Fluid Dynamics (CFD) for improving cooling system efficiency for Data centers

AIR STREAMS IN BUILDING FOR BROILERS

Airflow Simulation Solves Data Centre Cooling Problem

2013 Code_Saturne User Group Meeting. EDF R&D Chatou, France. 9 th April 2013

FREESTUDY HEAT TRANSFER TUTORIAL 3 ADVANCED STUDIES

The Influence of Aerodynamics on the Design of High-Performance Road Vehicles

Verizon SMARTS Data Center Design Phase 1 Conceptual Study Report Ms. Leah Zabarenko Verizon Business 2606A Carsins Run Road Aberdeen, MD 21001

CFD Application on Food Industry; Energy Saving on the Bread Oven

ME6130 An introduction to CFD 1-1

Simulation to Analyze Two Models of Agitation System in Quench Process

Numerical Simulation of the External Flow Field. Around a Bluff Car*

FAC 2.1: Data Center Cooling Simulation. Jacob Harris, Application Engineer Yue Ma, Senior Product Manager

Impacts of Perforated Tile Open Areas on Airflow Uniformity and Air Management Performance in a Modular Data Center

Using CFD to improve the design of a circulating water channel

NUCLEAR ENERGY RESEARCH INITIATIVE

The influence of mesh characteristics on OpenFOAM simulations of the DrivAer model

INTERNATIONAL JOURNAL OF MECHANICAL ENGINEERING AND TECHNOLOGY (IJMET)

Virtual Data Centre Design A blueprint for success

Learning Module 4 - Thermal Fluid Analysis Note: LM4 is still in progress. This version contains only 3 tutorials.

CFD STUDY OF TEMPERATURE AND SMOKE DISTRIBUTION IN A RAILWAY TUNNEL WITH NATURAL VENTILATION SYSTEM

Thinking Outside the Box Server Design for Data Center Optimization

TwinMesh for Positive Displacement Machines: Structured Meshes and reliable CFD Simulations

Improving Rack Cooling Performance Using Airflow Management Blanking Panels

Keywords: CFD, heat turbomachinery, Compound Lean Nozzle, Controlled Flow Nozzle, efficiency.

CFD Analysis of Swept and Leaned Transonic Compressor Rotor

HEAT TRANSFER ANALYSIS IN A 3D SQUARE CHANNEL LAMINAR FLOW WITH USING BAFFLES 1 Vikram Bishnoi

Evaluation of Bulk Modulus of Oil System with Hydraulic Line

Analysis and Performance Prediction of Data Centre with Different Configurations using CFD

Effect of Aspect Ratio on Laminar Natural Convection in Partially Heated Enclosure

International Telecommunication Union SERIES L: CONSTRUCTION, INSTALLATION AND PROTECTION OF TELECOMMUNICATION CABLES IN PUBLIC NETWORKS

Lecture 6 - Boundary Conditions. Applied Computational Fluid Dynamics

MODELING OF CAVITATION FLOW ON NACA 0015 HYDROFOIL

Use of OpenFoam in a CFD analysis of a finger type slug catcher. Dynaflow Conference 2011 January , Rotterdam, the Netherlands

Modelling and CFD Analysis of Single Stage IP Steam Turbine

CFD analysis of external aerodynamic and entry into to the air conditioning system on the roof of a bus

CFD Analysis of Supersonic Exhaust Diffuser System for Higher Altitude Simulation

Data Center 2020: Delivering high density in the Data Center; efficiently and reliably

How Row-based Data Center Cooling Works

Thermal Mass Availability for Cooling Data Centers during Power Shutdown

Improving Data Center Energy Efficiency Through Environmental Optimization

Differential Relations for Fluid Flow. Acceleration field of a fluid. The differential equation of mass conservation

Development of Ventilation Strategy in Diesel Engine Power Plant by Using CFD Modelling

IMPROVING ENERGY EFFICIENCY IN CEMENT PLANTS

INTERNATIONAL JOURNAL OF RESEARCH IN AERONAUTICAL AND MECHANICAL ENGINEERING

FLUID FLOW Introduction General Description

O.F.Wind Wind Site Assessment Simulation in complex terrain based on OpenFOAM. Darmstadt,

Unique Airflow Visualization Techniques for the Design and Validation of Above-Plenum Data Center CFD Models

Numerical Investigation of Heat Transfer Characteristics in A Square Duct with Internal RIBS

AN EFFECT OF GRID QUALITY ON THE RESULTS OF NUMERICAL SIMULATIONS OF THE FLUID FLOW FIELD IN AN AGITATED VESSEL

Optimization of electronic devices placement on printed circuit board

Saving energy in the Brookhaven National Laboratory Computing Center: Cold aisle containment implementation and computational fluid dynamics modeling

Dynamic Process Modeling. Process Dynamics and Control

Managing Data Centre Heat Issues

Experimental Evaluation of the Discharge Coefficient of a Centre-Pivot Roof Window

CFD SIMULATION OF IPR-R1 TRIGA SUBCHANNELS FLUID FLOW

RAISED-FLOOR DATA CENTER: PERFORATED TILE FLOW RATES FOR VARIOUS TILE LAYOUTS

CFD Analysis of a Centrifugal Pump with Supercritical Carbon Dioxide as a Working Fluid

Role of the PI System in Georgia Tech Data Center Laboratory

Understanding How Cabinet Door Perforation Impacts Airflow by Travis North

A Comparison of Analytical and Finite Element Solutions for Laminar Flow Conditions Near Gaussian Constrictions

AisleLok Modular Containment vs. Legacy Containment: A Comparative CFD Study of IT Inlet Temperatures and Fan Energy Savings

Comparison of Heat Transfer between a Helical and Straight Tube Heat Exchanger

Steady Flow: Laminar and Turbulent in an S-Bend

Tutorial for laboratory project #2 Using ANSYS Workbench. For Double Pipe Heat Exchanger

3. Prescribe boundary conditions at all boundary Zones:

CFD Based Air Flow and Contamination Modeling of Subway Stations

When the fluid velocity is zero, called the hydrostatic condition, the pressure variation is due only to the weight of the fluid.

(1) 2 TEST SETUP. Table 1 Summary of models used for calculating roughness parameters Model Published z 0 / H d/h

Nozzle Vent: A Simpler Approach to Laptop Cooling

- White Paper - Data Centre Cooling. Best Practice

Rate of Heating Analysis of Data Centers during Power Shutdown

EXPERIMENTAL RESEARCH ON FLOW IN A 5-STAGE HIGH PRESSURE ROTOR OF 1000 MW STEAM TURBINE

Sealing Gaps Under IT Racks: CFD Analysis Reveals Significant Savings Potential

Data Center Components Overview

Optimum Climate Control For Datacenter - Case Study. T. Prabu March 17 th 2009

External bluff-body flow-cfd simulation using ANSYS Fluent

HEAT TRANSFER AUGMENTATION THROUGH DIFFERENT PASSIVE INTENSIFIER METHODS

COMPUTATIONAL FLUID DYNAMICS (CFD) ANALYSIS OF INTERMEDIATE PRESSURE STEAM TURBINE

Thermal Simulation of a Power Electronics Cold Plate with a Parametric Design Study

Customer Training Material. Lecture 2. Introduction to. Methodology ANSYS FLUENT. ANSYS, Inc. Proprietary 2010 ANSYS, Inc. All rights reserved.

University Turbine Systems Research 2012 Fellowship Program Final Report. Prepared for: General Electric Company

Transcription:

EPJ Web of Conferences 67, 02070 (2014) DOI: 10.1051/ epjconf/20146702070 C Owned by the authors, published by EDP Sciences, 2014 Flow in data racks Lukáš Manoch 1,a, Jan Matěcha 1,b, Jan Novotný 1,c,JiříNožička 1,d, and Petr Pohan 2,e 1 CTU in Prage, Faculty of Mechanical Engineering, Department of Fluid Dynamics and Thermodynamics, Technická 4, Praha 6, Czech Republic 2 Conteg, spol. s r.o., Na Vítěznépláni 1719/4, Praha 4, Czech Republic Abstract. This paper deals with the flow in data racks. The aim of this work is to find a new arrangement of elements regulating the flow in the data rack so that the aerodynamic losses and the recirculation zones were minimized. The main reason for solving this problem is to reduce the costs of data racks cooling. Another problem to be solved is a reverse flow in the servers, thus not cooled, occuring due to the underpressure in the recirculation zones. In order to solve the problem, the experimental and numerical model of 27U data rack fitted with 10 pieces of server models with a total input of 10 kw was created. Different configurations of layout of elements affecting the flow in the inlet area of the data rack were compared. Depending on the results achieved, design solutions for the improvement of existing solutions were adopted and verified by numerical simulations. 1 Aim/Motivation The aim of the work was to reduce overall cooling costs in data centers. There are many studies and ways of dealing with the problem at the level of the whole data centers, or the elements constituting data centers. This paper focuses on the level of data racks (27U) and servers (1U), specifically on the suction area of servers in the data rack. This include modification of the current state or equipment in the direction to reduce the effects of undesirable increase of energy consumption necessary for effective cooling of fitted components - the servers, in this particular case. The above mentioned undesirable effects can be described e.g. as recirculation zones, under-pressure areas or areas of flow separation. 2 Current state Nowadays, there is an enormous increase in the number of data centers. In relation to this phenomenon, the techniques focused on reducing the energy consumption required for the operation of the data center are being developed [1] [2] [3]. The introduction of a completely new technique is usually very expensive and often impossible for already operating data centers. Due to the impossibility of implementation of a new technique or technology for the existing data centers, it is necessary to adjust or modify the current equipment. This approach has great limitations and the changes made must be easy to implement, if possible, without restriction of data rack operation. There is a whole range of methods of cooling the data racks. From simple cooling of the whole data center room a b c d e e-mail: lukas.manoch@fs.cvut.cz e-mail: jan.matecha@fs.cvut.cz e-mail: jan.novotny@fs.cvut.cz e-mail: jiri.nozicka@fs.cvut.cz e-mail: p.pohan@conteg.cz (a very ineffective and energy consuming method) to separated hot and cold aisles, where the suction and exhaust areas of servers are completely separated, thus leading to no mixing of hot and cold air. Another method of cooling is the creation, with the help of a side cooler and data rack, of closed area with a very effective cooling but higher cost of purchase. One of the methods used most often is when the cold air is supplied to the lower part of the data rack and then enters the suction part to servers. Hot air is then collected from the room and cooled again. This type of cooling is a certain variation of the hot and cold aisle since there is no contact of hot and cold air. This kind of cooling was chosen to be the main subject of the paper as it is the most easily modifiable. 3 Data rack modification In case of the type of cooling considered, the modification of data rack is relatively easy, as there is no direct intervention into the construction itself, but it is a modification or addition of other elements in the unused part of the data rack. In the lower part of the data rack, at the cold air inlet, the cold air is directed to the suction area of servers with the help of a current corrector (figure 3). For the existing data rack, this element created both barrier to avoid cold air leakage to other data rack parts, and should somehow correct the direction of the inlet cold air flow. As a result of an improperly chosen geometry of the element, air flow separation occurred in the lower part of the data rack to the height of several 1U servers. In the area of that separation, the pressure dropped to such a value, that within the first few 1U servers air flow reverse occurred and hot air was sucked to the cold aisle area from the rear part of the data rack. Appropriate modification of the geometry shape can almost eliminate this problem, or reduce at least the flow separation and eliminate the formation of the underpressure area. This is an Open Access article distributed under the terms of the Creative Commons Attribution License 2.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Article available at http://www.epj-conferences.org or http://dx.doi.org/10.1051/epjconf/20146702070

EPJ Web of Conferences Modifications have been made for two sizes of the cold air inlet to the suction area. The sizes were 1U and 3U where 1U (1 Unit) is a unit of measure based on American National Standard and its dimension is the multiple of 1.75 inches, i.e. 1.75 25.4 = 44.45 mm. The modification was based on the current state and only adjusted the geometry of already used element. The implementation for already operating data centers is very simple and can be carried out under full operation. The other modification leading to improvement of the air inlet to the suction area in the data rack is the use of data rack sides, which may serve as a side cooling zone. For such usage it is necessary to add additional elements to the lower part of the data rack for correct cold air supply. This solution will ensure the usage of the whole bottom part, or the lower part of the data rack. It is also necessary to add a wall preventing the cold air from entering the servers area. This will provide creation of space going over the whole length of the data rack, through which the cold air can be conducted to the suction area of the data rack. In view of the flow nature it is impossible to consider the whole space but only its proportional part with a recirculation zone assumed in the farther upper corner. But the zone is already included in the design, thus having no major impact on the final solution. At this point, another possible modification is outlined - limitation of entry of cold air to the recirculation zone. The second modification, the side cooling zone solution (figure 4), should lead to better cooling of servers in the upper part of the data rack. If we consider the case when data rack is fully fitted with 1U servers, an imperfect cooling of servers in the upper part of the data rack can occur due to relatively small space in the suction area of data rack and full fitting. In the paper, we consider a 27U data rack that is fitted with ten 1U servers models. It is not the most critical model situation that would occur if the 42U data rack fully fitted with 1U servers was used. Both designed modifications were modeled with the help of 3D CAD software in the first phase and placed into the real CAD model of the 27U data rack geometry. The reason for the model inclusion was the fact that all the measurement was carried out on real 27U data rack. A numerical simulation had been performed before the particular modified elements were produced in order to find optimal shape for the corrector geometry both for 1U and 3U. The modification was based on observing the size and point of the flow separation and its subsequent minimization. 4 Numerical simulation For numerical simulation, a simplified geometric model of the suction area of the data rack up to the area of the cold air inlet was created. The geometric model was simplified at the level of bolted joints, holes for bolted joints, grounding and of closing mechanism. For all these elements, the influence of the flow field was not assumed at a scale greater than negligible. As mentioned above, the model represented a 27U data rack and was evenly fitted with ten server models, thus using the whole height of the data rack. In order to obtain the reference values, the models of current design were created, for which the numerical simulation was carried out and the same parameters as for the modified versions were evaluated. 4.1 Computational mesh The mesh for individual models was created from six-wall elements, in the whole volume of the mesh, including the area of boundary layer. The mesh was formed by the same procedure for each model and the same amount of elements was used for particular modifications of current designs in order to eliminate the errors as a result of other mesh. All models solved had a common symmetry plane. This plane was used only for mesh generation due to elimination of error caused by asymmetrically formed mesh. The mesh was created in the Beta ANSA v13 program and subsequently exported in the format for ANSYS Fluent solver. 4.2 Solver setup Numerical simulation of 3D problem was performed in the commercial solver ANSYS Fluent v14. Uniform boundary conditions were defined for solution of all the models above. It applied to pressure boundary condition for suction points of servers, i.e. for each of ten points a negative pressure value simulating suction effect of fans was defined. The value of the boundary condition was set to 100 Pa (this value is related to atmospheric pressure the value of which was 101325 Pa). This boundary condition can be considered as an outlet boundary condition. For the inlet boundary condition, which was represented by geometry at the bottom of the data rack, atmospheric pressure was defined. For the remaining geometric elements a boundary condition with zero velocity was defined. For the solution itself the isothermal, viscous and incompressible flow was considered. A pressure-based algorithm was used. For the spatial discretization an upwind scheme of second order was used and only steady solution was considered. The given flow was assumed to have turbulent character, therefore a two-equation turbulence k epsilon model was chosen - modification Realizable. The flow near the walls was solved using the wall functions according to corresponding parameter y +. Several check points, monitors, were set, in which the stabilization of the monitored variables was being observed. After the numerical verification that the modifications to the geometry of the current corrector are consistent with the assumption, the modified correctors were made and incorporated to the experimental setup. 5 Experimental setup The experimental setup was made up of three independent parts (figure 1). 27U data rack in ten modified and two existing versions was being measured. The data rack modifications were performed at the level of individual elements rather than at the level of the whole data rack. Data rack was fitted with 10 server models with power input of 1 kw. For each of the server models the power of the fan 02070-p.2

EFM 2013 Fig. 1. Scheme used for experiment measurement. Fig. 3. Original used geometry and position for flow corectors. Fig. 2. Geometry of nozzle with positions for pressure sampling. field, which consisted of eight fans, could be adjusted independently. Thermal load of the server models was not considered within the whole experimental measurement. Another element of the experimental setup - a nozzle (figure 2) - was designed for the measurement, which was equipped with four pressure taps along the perimeter at the outlet. The data rack was placed on a box- the last element of the experimental setup - to which the nozzle was attached. This box represented space that is situated in real data center, in which the cold air is being conducted. For all 12 compilations of the experimental setup 5 different powers on fan fields for individual server models were measured subsequently. These were 20 %, 40 %, 60 %, 80 % and 100 % of power of the fan field. All the server models were simultaneously set to the same power. The mass flow throughout the whole setup was the main parameter of the whole setup to be evaluated. The parameter necessary for mass flow calculation was recorded with the help of pressure transducers during the entire measurement and subsequently its mean value was used for the calculation. For each of the measured variants a zero pressure reading [Pa] was performed at the beginning and end of the measurement itself. The readings were performed due to measurement of values in the range of tens of Pa and the shift of zero reading at the end of the measurement in order of units of Pa would constitute an error in order of tens of %. If the zero pressure readings differed by more than 0.5 Pa absolutely at the beginning and at the end of the measurement, the measurement was repeated. The individual measured variants were labeled with a four-sign code (KM0A for example): 1. First position K - rounded deflector H - angular deflector 2. Second position M - small deflector V - big deflector 3. Third position 0 - without side cooling zones M - small side cooling zones V - big side cooling zones 4. Fourth position A - brace at the original place B - brace shifted upwards C - taped-over holes 02070-p.3

EPJ Web of Conferences Table 1. Measured configurations with 100 % of fan performance Label pb dp nozzle p T ṁ [Pa] [Pa] [Pa] [ C] [kg m 3 ] KM0A 98000 17.7-116.5 18.0 0.45 KV0A 97200 21.0-87.4 19.4 0.49 HM0A 97200 16.6-119.5 19.4 0.43 HV0A 97200 18.1-97.1 19.8 0.45 KVVA 97400 25.0-60.6 20.8 0.53 KMVA 97100 22.8-86.4 19.5 0.51 KVVB 99760 27.0-55.0 22.9 0.56 KMVB 99450 22.8-93.1 21.6 0.51 KMMB 99050 22.2-83.4 22.3 0.50 KVMB 99420 26.8-57.8 21.9 0.56 KVMC 99760 27.9-60.5 22.5 0.57 KMMC 99430 21.3-88.6 21.0 0.50 KMVB 99450 22.8-93.1 21.6 0.51 KVMB 99420 26.8-57.8 21.9 0.56 Fig. 4. Side cooling zones configuration for different position of side bar. 6 Experimental setup In order to calculate the required mass flows ṁ [kg s 1 ] the following equation was used: ṁ = ρav, (1) where the Bernoulli equation was used for defining the necessary additional variables: p 0 ρ + gh + v2 0 2 = p 1 ρ + gh + v2 1 2 + v2 1 2 ξ nozzle, (2) where the indexes i = 0,1 of pressure p i [Pa] and velocities v i [ms 1 ] represent the inlet, or outlet from the nozzle and the member ξ nozzle [1] represents the minor loss of the nozzle. Furthermore, during the measurement the temperature t [ C] at the nozzle inlet was being recorded, from which the density ρ [kg m 3 ] according to the equation of state of ideal gas was additionally calculated ρ = p rt, (3) with specific gas constant r [J kg 1 K 1 ] and temperature T [K]. The relation between the velocities was expressed by the continuity equation, defined as: A 0 v 0 = A 1 v 1, (4) where particular planes A i [m 2 ] are related to the corresponding places. Fig. 5. Mass flow rate for each configuration and different fans performance P. 7 Results For the variants mentioned above, a power spectrum of fans were measured and the mass flows and pressure evaluated (figure 5, figure 6). All results shown that modifications made on flow correctors and addition side cooling zones increased mass flow rate throuht system. The biggest difference is about 20 % according to reference states, and as a reference states are considered current states, as we can see in table 1. For each measured case similar curve trend can be seen (figure 5). Modifications shifts curve just up without significant curve change. We can explain this by that we modified geometry and not whole model. For correctors modfications most of cross sections in the flow path stayed preserved. From this point of view we did not expect positive huge mass flow rate jump. Side cooling zones were added another volumes as a secondary flow path but the main reason were to supply more air to lower placed servers to eliminate back flow effect. There were also measured pressure difference with and without using nozzle as we can see in figure 7. As can be seen the pressure lost for nozzle was form 10 Pa to 20 Pa for corresponding fan performance. 02070-p.4

EFM 2013 References 1. L. Manoch, J. Nožička and P. Pohan, EPJ Web of Conferences, Volume 25, (2012) 2. L. Manoch, J. Novotný and L. Nováková, 22 nd International Symposium on Transport Phenomena, (2011) 3. L. Manoch, J. Matěcha and P. Pohan, EPJ Web of Conferences, Volume 45, (2013) Fig. 6. Pressure variation for each configuration and different fans performance P. Fig. 7. Pressure variation for measurement with and without nozzle with different fans performance P. (black - with nozzle, yellow - without nozzle) 8 Conclusion For the given compilation and modified geometry of correctors, it was proven that there is an increase in the mass flow throughout the whole setup. The impact of the side cooling zones was measured and evaluated leading to better distribution of air to the server suction area. In case of modifying only the correctors an increase of mass flow throughout the whole setup was verified and should lead to reduction of costs connected with air distribution to the data rack. This modification is implementable in the current designs, even under full operation of the data rack. The addition of side cooling zones can further improve the air distribution to the servers but this kind of implementation is not easy to perform and it is more of an evolutionary element of the current designs. 9 Acknowledgment Project (TA01010184 / Research and development solutions data racks, cooling and transport systems for data centers) is / was solved with the financial support of TA ČR. 02070-p.5