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Saturday, June 15, 2013

NetZoom , software Data Center Infrastructure Management Anda.

Here are some reasons why we think you will love NetZoom:
1.Automatically Generate DataCenter Diagrams, Layouts, and Reports
Using NetZoom, you can now automatically generate a variety of detailed reports such as inventory reports, warranty reports, capacity reports, and much more for your datacenter. You can also generate complex datacenter plan view floor layouts from your existing datacenter infrastructure within NetZoom. And last but not the least, you can automatically generate front and rear rack elevation diagrams for datacenter racks with a click of a button. With our new collection of automated tools, you can’t go wrong.
Automatically Generate Variety of Reports, Layouts, and Diagrams
2.Create Physical and Logical Network Diagrams using NetZoom Equipment Shapes and Stencils

Create complex logical & physical network, datacenter, and rack diagrams in Microsoft Visio using templates and equipment shapes and stencils from the comprehensive NetZoom library. NetZoom shapes are high quality, intelligent shapes that also come with manufacturer specific data. Instantly search and find the right equipment shapes in the NetZoom library using our powerful custom search engine.
World's Largest Updated Equipment Shape Library
Physical and Logical Network Diagrams
3.Automatically Create Your DataCenter by Leveraging Existing Documentation
Using NetZoom, you can now create your entire datacenter infrastructure along with rack elevations and devices, by seamlessly importing existing documentation such as spreadsheets, and existing Microsoft Visio rack diagrams made using previous versions of NetZoom. This cuts down your implementation time to seconds and increases productivity.
Import Export Locations, Racks, Devices, & Data from Existing Spreadsheets and Diagrams
4.Document Your Entire DataCenter and Rack Elevations Together

NetZoom allows you to design and document your entire datacenter infrastructure, rack elevations, and asset inventory in one place. You can use our DataCenter Wizard to document your entire datacenter and use the RackBuilder Wizard to drill into the datacenter layout and design and document each rack elevation. All rack diagrams are associated with your datacenter layout so you can manage everything through a single Microsoft Visio diagram. You can also use our new Project Explorer to manage your entire datacenter in a hierarchical fashion by defining locations, adding racks and devices, and populating rack elevations and configuring device chassis within a single interface. You can even instantly locate equipment within your networks and datacenters using powerful custom search features.Centralized DataCenter and Asset Management
5.Custom Configure Device Chassis and Rack Elevations and Manage your Favorites

You can collect your favorite or most frequently used devices and racks, and customize device chassis by adding cards and modules and populate racks with configured equipment to match their real life counterparts.Collect & Configure your Favorite Racks & Devices
6.Manage Custom Properties, Data, and Apply Watermarks for Asset Identification

Using NetZoom, you can manage custom properties specific to your projects, customize asset data and properties as needed, and view cumulative data that is automatically calculated based on in-built formulas. NetZoom also allows you to create custom watermarks that you can apply to various pieces of equipment in your datacenter for instant identification and displaying status.
Auto-Calculated Cumulative Data Custom Properties, Shape Data & Preview
Custom Watermarks

Thursday, June 13, 2013

Pengukuran dan benchmarking PUE dan DCIE


Benchmarking your data center's energy efficiency is a key first step towards reducing power consumption and related energy costs. Benchmarking enables you to understand the current level of efficiency in a data center, and as you implement additional efficiency best practices, it helps you gauge the effectiveness of those efficiency efforts.
Power Usage Effectiveness (PUE) and its reciprocal Data Center infrastructure Efficiency (DCiE) are widely accepted benchmarking standards proposed by the Green Grid to help IT Professionals determine how energy efficient data centers are, and to monitor the impact of their efficiency efforts. The Uptime Institute also has a comprehensive benchmark it recommends named Corporate Average Data center Efficiency (CADE). At their February 2009 Technical Forum, the Green Grid introduced new benchmarks named Data Center Productivity (DCP) and Data Center energy Productivity (DCeP) which probe into the useful work produced by your data center. All benchmarks have their value, and when used correctly, they can be a useful and essential tool for improving your data center energy efficiency.


PUE / DCiE are efficiency benchmarks comparing your data center's infrastructure to your existing IT load. The initial benchmarking of PUE / DCiE yields an efficiency score and sets a testing framework for the facility to repeat. Comparing initial and subsequent scores, data center managers can gauge the impact of what should be ongoing efficiency efforts. At any given time, they are comparing the power currently used for the IT equipment a company needs with the power used by the infrastructure which keeps that IT equipment cooled, powered, backed-up, and protected.

PUE Example:

Having a facility that uses 100,000 kW of total power of which 80,000 kW is used to power your IT equipment, would generate a PUE of 1.25. The 100,000 kW of total facility power divided by the 80,000 kW of IT power

DCiE Example:

Having that same facility that uses 100,000 kW of total power of which 80,000 kW is used to power your IT equipment, would generate a DCiE of .8. The 80,000 kW of IT power divided by the 100,000 kW of total facility power.
Generating PUE / DCiE is only a start on your path to efficiency. For this benchmark to be meaningful it should be generated on a regular basis and preferably also on different days of the week and at different times of the day. The goal being to take actionable efficiency actions based on your actual data. By comparing your starting benchmark with benchmarks taken after implementing changes, you should be able to see noticeable improvements in your PUE/DCiE.

PUE = Power Usage Effectiveness (PUE)
Power Usage Effectiveness - PUE (Source: Green Grid)

Reduce your operation costs by utilizing measurement, benchmarking, modeling, and analysis to improve your Data Center's energy efficiency.

PUE = Total Facility Power / IT Equipment Power
DCiE = IT Equipment Power / Total Facility Power

PUEDCiELevel of Efficiency
3.033%Very Inefficient
1.283%Very Efficient
Source: Green Grid


You may have heard the terms "PUE Wars" or "PUE Marketing." The Green Grid, the author of both PUE and DCiE, didn't intend for either metric to compare one facility to another. Unfortunately that hasn't stopped some people from publishing their PUE numbers in an attempt to market their facilities or design strategies. While their efforts to improve data center efficiency should be applauded, these metrics by themselves are not sufficient to determine data center efficiency. The conversation must include productivity. Are you getting the most out of your servers and storage? Are you maximizing processing power? Retiring idle servers? Consolidating and Virtualizing?
Many in the industry would like to have a data center benchmark similar to the Corporate Average Fuel Economy (CAFE) enacted by Congress in the 1970's, which compares Miles Per Gallon (MPG) from one vehicle to another. PUE is not currently that metric. A quick illustration will demonstrate the point:
In the earlier PUE and DCiE calculations, a facility with 100,000 kW of total power, and 80000kW devoted to IT equipment, had a PUE of 1.25 and a DCiE of .8. That would usually be considered a very respectable benchmark. But how meaningful is that measurement if the bulk of the servers are just sitting idle or not being very productive?
Over the coming months the Green Grid will be working on productivity calculations that can help make their benchmarks more comparable from one data center to another, but for now they should only be used as a tool to help you improve your own energy efficiency.


Companies and organizations need IT equipment to provide their products and services, handle transactions, provide security, and to run and grow their businesses. The larger a company / organization grows, the greater the need to house their computer equipment in a secure environment. IT equipment includes computer servers, hubs, routers, wiring patch panels and other network equipment. Depending on size, that secure environment is called a wiring closet, a computer room, a server room, or a data center. In addition to the energy needed to run that IT equipment, electric power is utilized for lights, security, backup power, and climate control to maintain temperature and humidity levels that will minimize down time due to heat issues. By benchmarking PUE or DCiE, you are comparing the power needed for business critical IT with the power keeping that IT equipment alive and protected.
All IT equipment (and anything run on electricity) generates heat. In a room filled with racks of computers and other IT equipment a significant amount of your energy costs are incurred by specialized data center cooling and power equipment deployed to keep your servers and other IT equipment up and running. Heat problems in data centers are a leading cause of downtime.
Data Centers are large complex environments and often have different strategic teams managing key components-one team focusing on the facilities management and the other on IT Equipment deployed in the facility. In these environments facilities managers usually determine infrastructure environmental issues including power, cooling, and airflow, and IT Managers determine critical IT systems such as servers and networking equipment.

PUE / DCiE Benchmarking Frequency:

To have any true value, PUE and DCiE also aren't benchmarks that can be done once or infrequently. They should be measured on a regular, if not real-time, basis at different times of the day and week. To stress this significance, the Green Grid is introducing some additional identifiers, which in combination with the PUE benchmark score will give you a much better picture on frequency and overall meaningfulness of the PUE or DCiE resulting score.

You can't control or manage what you don't measure

Having a holistic understanding of your computer room or data center's energy consumption is a key first step in being able to determine the appropriate steps necessary to improve your energy efficiency. Measuring should be used as an ongoing tool in your overall data center strategy. CFD measurement at multiple heights in a row of racks along with air pressure measurement under floor tiles can not only help you insure that you are getting enough cool air to the inlet of your servers, it can help you maintain airflow to the recommended ASHRAE level to all IT equipment (current ASHRAE inlet air recommendations are for environment range of 18°C to 27°C (64.4°F to 80.6°F) and a humidity dew point of 5.5C to 15C. This data can also help you eliminate hot aisle / cold aisle containment issues (hot air leaking into the cold aisles and vice versa). With proper power measurement of your overall data center IT equipment and infrastructure, you will be able to determine your PUE and DCiE. As PUE / DCiE are industry standards, determining your data center's energy efficiency rating will enable you enable you to compare how efficient your facility is compared with other data centers around the world. It also helps you set a benchmark you can track, report, and continually improve. Keeping your data center energy efficient should be an ongoing process. After determining your facility's efficiency rating, you implement power and cooling best practices to improve efficiency and then monitor how those changes improved your PUE/DCIE. And as you add additional energy efficient IT assets, the process continues showing how much less energy consumption your facility is using. Improvements in your DCiE and PUE correlate to improved efficiency, which in turn demonstrate a measurable reduction in your company's or organization's power bill.
Where Does Energy Go? (source: Green Grid)
Where Does Energy Go? (Source: Green Grid)


PUE and DCiE: What to Measure

The concepts of PUE and DCiE seem straightforward. Yet, the intricate maze of transformers, PDUs, and chillers make the measurement more than simple arithmetic.
Calculating PUE or DCiE has more value when it becomes a repeatable process, tracked over time. The content herein is designed to assist data center professionals with that first reading, developing a protocol to repeat as efficiency efforts carry on.
Already know your Total IT Load and Total Facility Load? Calculate your PUE now with our PUE Calculator.

Step 1: Develop a testing schedule

The frequency of PUE/DCiE measurement is dependent on the overall efficiency program. If data collection is automated through software, continuous measurement (hour to hour, minute to minute) should be possible. Loads can fluctuate throughout the work day, and professionals may find value in contrasting PUE at peak loads with the measurement at slower or idle points of the day.
Author of both PUE & DCiE, The Green Grid gives the following guidance for measurement intervals:
  • Basic Efficiency Program: Monthly/Weekly
  • Intermediate Efficiency Program: Daily
  • Advanced Efficiency Program: Continuous (hour to hour)
Whether the calculations happen once a month or once an hour, any regular measurement is a step in the right direction.

Step 2: Plan Your Efficiency Objectives

Your efficiency plan can be as basic or as detailed as you'd like. A dedicated data center, for instance, may capture incoming electricity straight at the meter and the IT Load straight from the UPS. From there, simple division yields an efficiency score. 
Basic Calculation
Total IT Load94kW
Total Facility Load200kW
*Where does the extra 106kW go?
But a number of components influence the total facility load. The cooling infrastructure may consume 40% of the incoming electricity as in the example below. For this reason, a user may want to specifically measure and trend consumption in the central plant.
Detailed Calculation
Total IT Load94kW
Cooling Infrastructure80kW
Power System Load24kW
Lighting Load2kW
Total Facility Load200kW
Current technologies enable very precise measurements. A building management system may be able to monitor total incoming electricity, chiller loads, and lighting loads. Cisco's EnergyWise technology, newer rack power products, and branch circuit monitoring can all track power consumption at the device level. Remote sensors and software products can monitor kW and kWH of individual CRACs and CRAHs. As a result, users can target and improve problem areas of the data center.
This level of detail ultimately depends on your goals, facility, and budget. No matter how simple or involved the program, the most important objective is consistency. You cannot improve or control what you do not measure.

Step 3: Know the power distribution components

Electrical distribution is central to these measurements. Power flows through assorted components, and losses occur as it makes its way from a service entrance to the IT equipment. Here are some of the key power components:
Electricity travels through the service entrance and into a transformer, which feeds everything downstream: switchgear, UPS, lighting, CRAC/CRAHs, and, eventually, the IT equipment. The uphill side of this transformer represents a potential spot for measuring total facility power.

Uninterruptible Power Supply (UPS)
Downstream from transformer, transfer switches, switchgear. This represents a potential spot for measuring total IT load.

Power Distribution Unit (PDU)
Different from a rack-based power units (where the IT equipment is actually powered), these floormount units distribute power via circuit breakers to the cabinets and racks housing IT equipment. This location, if available, represents a more comprehensive spot for measuring the IT load as it includes both the UPS and PDU electrical losses.

Step 4: Find your Total Facility Power

Transformers do not inherently have intelligence, so metering will be necessary. Sophisticated handheld devices can provide a point in time reading of incoming electricity.

The objective, however, is to track results and improvements over time. Clamp-on meters, installed at the uphill side of the transformer, can quantify efficiency gains through ongoing measurement. The devices, housed in electrical boxes close to the transformer, have leads that install around each conductor and provide detailed readouts of each electrical phase.
Transformers are vastly important to data center operation, and some users, concerned with install complexity or a perception of downtime, may be hesitant to install such meters. Yet sound and experienced engineering can allay these concerns and position the user to save in energy costs over the lifetime of his facility.
Automatic/Static Transfer Switch (ATS / STS)
While dedicated transformer metering will provide the most accurate facility load there are situations that do not allow for metering at this point in the supply chain. The output of the ATS / STS provides optimal metering point for facilities power. In the environment that includes a backup generator, the facility power measurement at the output of the ATS / STS is the preferred point for collecting the entire facilities load as all systems required for critical operations are fed from this point.

Building Management Software
Users may already employ a building management system that continually monitors power consumption. If this is the case, the total facility power may be little more than a few clicks a way, presenting the values via a web interface.

Step 5: Find your Total IT Load

Measuring IT Load via PDU
PDU output is another measurement point. Newer PDUs with readable panels or automated branch circuit monitoring make the IT load very accessible. As mentioned earlier, PDUs can contain a number of 42-pole panels, and without automation, installing meters at each pole and managing the resultant data could prove difficult.

Keep in mind that each reading is subject to electrical losses, due to the inefficiencies of the UPS and PDUs. If you choose, you can calculate the losses by comparing each device's input and output values.
  • UPS input power (kW) - UPS output power (kW) = UPS Power Loss (kW)
  • PDU input power (kW) - PDU output power (kW) = PDU Power Loss (kW)
Measuring IT Load via UPS
The UPS output is the first logical place to gather the IT load. Newer UPS systems may include readable front panels or use web interfaces, which simplify any detective work and provide a vehicle for trending data over time. Older UPS systems, without front panels or SNMP capabilities, can utilize the same clamp meters discussed in the transformer section.

For additional help in calculating your PUE/DCiE call us 1-800-638-2638, or ask your questions in our consultation form.

Step 6: Take Meaningful Action

With the initial reading complete, identify a course of action. Consider the use of modeling or measurement tools to analyze airflow on the data center floor. Review the interrelated settings of the cooling infrastructure from chilled water temperature through server inlet temperature. Eliminate idle servers and, if possible, use virtualization technology. Then run the test once again.
If IT supports business, first and foremost, improving PUE/DCiE has a compelling business argument. Less energy consumed, smaller electric bill. Good for the environment. Good for the bottom line.


The energy savings for an efficient data center are significant! After calculating your current PUE / DCiE benchmark, please try our interactive data center savings calculator to select different efficiency goals to see how much your organization will save in energy costs by improving your efficiency.
 How much can your organization save by having a more energy efficient Data Center?As much as 50% of a data center's energy bill is from infrastructure (power & cooling equipment). Try our Interactivedata center efficiency calculator and find out how reducing PUE will result in significant energy and cost savings!
42U's Data Center Efficiency Savings Calculator helps IT Professionals and C-level management understand the short term and long term savings that can be achieved by improving the energy efficiency of their data center infrastructure.  Efficiency savings are both financial (Capital expense (CAPEX) and operating expense (OPEX) as well as the environmental savings in carbon emissions (the carbon given off by the electricity used to power the equipment in their data centers).  Also important to consider but beyond the scope of this calculator are the substantial CAPEX savings in reducing assets and deferred data center construction, and savings in other green house gasses other than CO2. The Efficiency Savings Calculator is designed to be useful for determining savings for any size data center, computer room, server room, or wiring closet.
Data Center Energy Savings Calculator
About 42U
Since 1995, 42U has been a leader in providing data center efficiency solutions for data center and facilities managers. Our vendor and technology agnostic approach leverages our best-practice expertise in monitoring, airflow analysis, power, measurement, cooling, and best-of-breed efficiency technologies to help data center managers improve energy efficiency, reducing power consumption and subsequently lowering energy costs.

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Realitas PUE dan PUE v2, perbaikan perhitungan PUE

The measurement of power usage effectiveness (PUE) has provided data centers with a common standard for comparing and improving power usage. But the standard provides lots of room for interpretation, allowing many organizations to slant results to their own advantage. In this tip, we’ll examine the potential flaws in PUE and explain how the more recent PUE 2 standard can close some of these loopholes.
The flaws in PUEPUE was meant to be a means of evaluating and tracking how effectively our data centers utilize the massive amount of power they consume and help us measure the effectiveness of our facility improvements. But we quickly turned PUE into an “extreme sport” contest, where enterprises published and advertised PUE numbers that almost no one believed. No one provided details as to how the numbers were obtained or where measurements were taken, so we didn’t know how they were derived or what they really meant. And PUE is a very easy number to manipulate.
On October 29, 2009 The Green Grid released Version 2.1 of their PUE white paper, which people now refer to simply as “PUE v2.” It was meant to provide a more accurate means of reporting PUE, but confusion still remained. On May 17, 2011, the Data Center Efficiency Task Force (DCETF) published a paper that clarified the recommended means for measuring and reporting overall PUE.
What has PUE 2 clarified, and what PUE reporting errors is it supposed to correct?
As most everyone knows by now, the PUE definition is deceptively simple. It is the ratio of total power going into the data center divided by the power actually used by the IT computing equipment.
Total data center power in
IT load power
A PUE of 1.0 would be perfect, and would mean that all incoming power is going to the IT equipment. It would mean no cooling; no lights; not even wiring, in which some power loss always occurs. That’s technically impossible. Most legacy data centers are probably have PUE levels between 2.5 and 3.5, but claims have been made of new data centers and even containerized structures with PUE’s less than 1.1. That’s pretty amazing!
So what makes a PUE number really low? Simple: reducing the numerator or increasing the denominator makes the PUE quotient smaller. Like a golf score, a lower number is supposed to say the data center is better. But golfers can cheat, and PUE numbers can be manipulated. How? For starters, you might take instantaneous power draw measurements at your best operating time, when it’s cool outside, all the lights are off, but your computers are cranking out research or most of your customers are online. You might even shut down redundant cooling for a few minutes while you take readings. The result could be a really good number, but would it really mean anything?
There are more ways still to distort the PUE figure. Start with what is included in “Total data center power in.” How about your network operations center (NOC), or all the IT offices? Leave those out and the total power becomes smaller and PUE becomes better. Where do you measure the “IT load power?” If it’s from the read-out on the uninterruptable power supply (UPS) output, then you’ve added power distribution unit (PDU) transformer losses, wiring losses, and things like cabinet fans into your IT load calculation, even though they don’t contribute a thing to the actual processing work. So the denominator gets bigger and your PUE looks even better. And what if you have a shared facility with a common power feed for the building and all its offices, conference rooms, food service and lobbies? Or a shared chiller plant or cooling tower? If they’re not all separately metered, some “creative estimating” of the portion of incoming power supposedly used by the data center can dramatically affect your PUE.
The improvements in PUE 2In short, PUE was not originally intended to compare dissimilar data centers. It was meant as a means of tracking how an individual data center is performing over a period of time. In this case, there would be no benefit at all to manipulating the numbers, since the purpose was strictly for internal improvement. The Green Grid maintains that PUE is not meant to compare different facilities – but since people are going to make comparisons anyway, it should at least be done on a uniform basis, with all the right measurements included. Enter “PUE v2.”
PUE Version 2 makes four major and very important changes in the PUE metric:
  1. PUE v2 establishes different types of PUE measurement. The Green Grid calls them Levels 1, 2 and 3; and labels them Basic, Intermediate and Advanced. The DCETF adds a fourth even more basic level, and identifies the categories as PUE0 to PUE3. Each higher level or category is more rigid and exacting than the one before it, and it is now required that any stated PUE value identify the measurement level or category that was used to derive it. For the rest of this article, we will discuss the DCETF categories of PUE0, PUE1, PUE2, and PUE3.
  2. With the exception of PUE0, all measurements must now be converted to energy, which means an included time component like kilowatts per hour instead of just kilowatts. And it must include all incoming energy sources, corrected to a common equivalent (e.g., the gas burned for heating must be equated to kilowatts per hour.). Further, all measurements must be made at specified points for each category, and taken over at least a one-year time frame.
  3. PUE v2 now stipulates what amenities (such as offices and NOCs) must be included in the PUE calculation for different types of facilities (e.g., data centers, containerized assemblies, and so on) – if it’s IT-related, it’s in.
  4. PUE v2 also makes clear that renewable energy sources, such as wind and solar – while certainly valuable ways of reducing carbon footprint – have no bearing or influence on PUE. The PUE metric is meant strictly to quantify the efficiency with which the compute facility utilizes the energy it consumes, regardless of where or how that energy originated.
Let’s briefly summarize the differences among the four new PUE categories to better understand what is necessary to meet each level, and why PUE measurements in different categories shouldn’t be compared.
PUE Category 0 (“PUE0”): This is essentially the original PUE, in that it still measures “Total data center power in” and “IT load power” at discrete points in time. The major improvement is that it now specifies that the readings be taken “during peak IT equipment utilization.” Therefore, PUEdoes not show the effects of varying loads, so may still be significantly skewed depending on when measurements are made. Further, “IT load power” is taken at the output of the UPS, so will add any non-IT overhead such as PDU transformer losses and cabinet fans to the real IT load. And PUE0 is still based on power rather than energy, so it can only be used for data centers that are 100% electrically powered. There is no means of correcting for different fuels. In short, it can be useful for tracking the effects of changes in an individual data center if measurements are taken consistently and compared realistically. But PUE0 should never be used to compare different data centers, even if they are supposedly of the same designs.
PUE Category 1 (“PUE1”): This is the first of the new PUEs based on energy or “power consumption” calculations. It requires that readings be made as totalkilowatts per hour over a 12-month period, and that all fuel types serving the data center be converted to a common value – usually to the equivalent kilowatts per hour. This is a major improvement over PUE0, but still measures the “IT load energy” at the UPS output, so it retains the same potential for errors in IT load that were noted for PUE0. Depending on actual conditions, these errors could skew the PUE to a somewhat better number than reality. But if there are no PDU transformers, and no cabinet fans, and everything else is measured in full accordance with the PUE1methodology, it will probably be a pretty accurate number.
PUE Category 2 (“PUE2”): The only real difference between PUE2 and PUE1 is that the “IT load energy” is measured and summed from the outputs of the PDUs. As noted above, if PDUs with transformers are not utilized in the power delivery chain, there should be very little difference between PUE1 and PUE2 numbers.
PUE Category 3 (“PUE3”): This is the ultimate and most accurate PUE measurement method, and the level to which every data center should ultimately aspire to use. It requires having the infrastructure metering necessary to accurately measure cumulative IT load energy over a 12-month period at the power inputconnection of each IT device. Very few data centers as yet have the ability to do this, but it is certainly the most accurate approach. In the opinion of this author, no one should claim a PUE better than 1.3 unless it was developed in full compliance with the requirements of PUE Category 3.
Don’t mix PUE categoriesSo now we should now be seeing PUE numbers that have real meaning – or at least that we know were supposed to have been derived in a way that enables us to assess them with understanding. But the different measurement points specified for each of the PUE 2 categories also show us how meaningless it would be to compare a number derived under one category, such as PUE1, with one derived in accordance with requirements of another category, such as PUE3. They would be “apples to oranges” relationships.
PUE Version 2 removes the ambiguities and suspicions that have been associated with many PUE claims in recent years. It also defines enough different measurement methods to make it possible for most anyone to calculate their PUE, regardless of the level of measurement sophistication they have available. But it also ensures that when PUE numbers are reported, there is an associated understanding of how they were supposed to have been developed, and how close they may be to the kind of truly accurate PUE number that would come from a PUE3 calculation.
But PUE v2 also makes clear that establishing a meaningful PUE number under any of the four categories requires more than just reading the UPS and the building electric meter. A significant amount of accurate sub-metering or shared load allocation is necessary to obtain the required information. For new or renovated data centers, a full range of metering should be incorporated into every design so that data centers can be truly responsible about their energy usage and efficiency.
Robert McFarlane is a principal in charge of data center design for the international consulting firm Shen Milsom &Wilke LLC. McFarlane has spent more than 35 years in communications consulting, has experience in every segment of the data center industry and was a pioneer in developing the field of building cable design. McFarlane also teaches the data center facilities course in the Marist College Institute for Data Center Professional  program, is a data center power and cooling expert, is widely published, speaks at many industry seminars and is a corresponding member of ASHRAE TC9.9 which publishes a wide range of industry guidelines.
This was first published in January 2012

Join the conversationCOMMENT

  1. "Kilowatt Hour" is a good enough term for Energy. No need to add a "per" in between.
  2. The article talkes about energy use as "kiloWatts PER hour". But a load of 1 kW uses 1kWh in one our, 2 kWh in 2 hours, 6 kWh in 6 hours, and so on. So energy is kiloWatts TIMES hours = kWh.
  3. The realities of PUE and PUE v2:
    via View Profile
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