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[toggler title='The importance of knowing the PUE. Managing effective energy use']
We can calculate the energy efficiency of any production system by comparing the useful energy with the total energy needed by the system. With this information and knowing where the inefficiencies are, we can achieve substantial savings and more environmentally friendly operations.
As a practical example, an average data processing centre with installed power of 100 kW can achieve savings of €8,000 to -€16,000 in the electricity bill as a result of improved energy efficiency. To do so, it is as important to detect the points of consumption as it is to assess the corrective measures.
The energy factor is so critical in data processing centres that it has its own indicator: PUE or Power Usage Effectiveness, defined by a standard issued by The Green Grid, a global environmental agency comprised of over 175 internationally renowned companies.
The European Commission also has a code of conduct for reducing the impact of data centres' growing energy consumption.
It periodically publishes best practices for data processing centres, most recently in 2013.
These centres have a peculiar profile due to their uninterrupted working hours. Because of the great importance of service continuity when powering servers, computers and communications, they have three main groups of units for their exclusive use:
Broadly speaking, we can say that of the 100% total energy consumed in a DPC, 60% corresponds to the infrastructure's electrical consumption and the remaining 40% to refrigeration systems.
So we can undoubtedly see the need for coefficients (PUE) that make it possible to prepare comparative studies aimed at determining actions for optimising the energy consumption of these centres.
[toggler title='Calculation guidelines']
As we have already seen, we normally use the standard issued by The Green Grid to calculate the parameters for DPC efficiency. We will distinguish two key indicators:
1. PUE: Power Usage Effectiveness, calculated with the formula:
2. DCE: Data Centre Efficiency, calculated as a percentage with the formula:
In addition, the Environmental Protection Agency of the United States (EPA) provides the following PUE values as a reference:
Companies like Google have gotten the average PUE of their DPCs down to 1.22, and sometimes as low as 1.15.
In the historic frame of reference (PUE 2.0), typical consumption for different DPC elements is:
Therefore, one of the keys to the success of an energy improvement project is measuring the consumption of each unit type in order to be able to recognise the most affordable areas of improvement.
There are three general measurement levels* shown in the table below, with measuring points that correspond to the indicators in the diagram also shown below, with energy measured in kWh. A 12-month cycle is taken as a comparative reference for all levels.
There is also a Level 0, which only includes power measurements (kW), measuring the general demand of the installation and that of the UPS output.
CIRCUTOR with its decades of experience in energy efficiency, solutions, offers a wide range of products that facilitate continuous data gathering for controlling PUE and DCE, UPS unit performance, electric energy management and DPC maintenance. These include energy meters, power analyzers, ultra-immunised earth leakage protection, harmonic filtering systems, PowerStudio Scada management software and power factor correction systems.
[toggler title='CIRCUTOR’s Solution with the SCADA system']
For the study, two implementation phases and a third study phase are required:
The application features:
|A start screen in single-line diagram format (Fig.1) with data corresponding to all the concurrent energy types (converted to KWh).|
|A second summary screen (Fig.2) with performance calculations (Fig.3), enabling you to create and display reports with results for different periods (daily, weekly, monthly and yearly).|
By way of example, here are the screens displayed when installing CVM analyzers and programming a specific Scada application.
On the first one you can see the installation diagram and unit connections; on the second one you can see the resulting data online for a single DPC; and on the third one is a weekly Level 1 report with continuous measuring frequency.
[toggler title='CIRCUTOR’s Solution with a local display screen']
For the study, two implementation phases are required:
By way of example, here is the communication topology displayed when installing CVM analyzers, the EDS energy controller and the local display screen.
[toggler title='How to improve the efficiency of a data processing centre']
To improve the efficiency of a data processing centre, we must follow measuring and analysis by implementing improvement actions. There are actions that do not require any investment, such as reducing the contracted power to save on direct costs, and other actions that do require investment, such as replacing units with more efficient ones.
To organise these improvement actions you can prioritise them in accordance with the efficiency that can be achieved with each one. This prioritisation is calculated by comparing the improvement obtained with the investment required to make the improvement.
Pa: Action priority
Performing this calculation for each possible improvement action helps us prepare a list of actions and sort them from highest to lowest priority.
Possible short-term measures include:
For a more thorough list of Data Centre improvements, see the "2013 Best Practices issued by the European Commission's Renewable Energies Unit."
DPCs (Data Processing Centres) are major consumers of electrical energy and their consumption can be divided in useful energy for computer equipment and the additional energy necessary for their smooth functioning. This energy consumption is so critical that it has its own indicator: PUE (Power Usage Effectiveness).
In DPCs with non-optimised PUEs, this additional energy can account for up to 50% of the total energy, giving us good room for improvement. According to minimum availability requirements and the options for investment in improvements, savings of up to 20% of the total energy consumed can be achieved (or between €8,000- €16,000 a year in an average 100 kW DPC).
As we have seen in this article, it is possible to study and measure possible improvements to data processing centres. The key phases are installing energy measuring units, analysing the data gathered and making decisions based on that analysis.
CIRCUTOR, with its decades of experience in energy efficiency solutions, offers a wide range of products that facilitate continuous data gathering for control, maintenance and energy efficiency management of DPCs.
Consult our Success story in a Data Processing Centre
WRITTEN BY CIRCUTOR