Consumption Trend Analysis
(revised: November 2015)
By monitoring kWh consumption-per-employee trends across our facilities, we can identify when odd usage occurs at our locations, evaluate why these “outliers” occur and work to solve the problem or share a best practice. An outlier is a location forecasting a reduced or increased consumption greater than the absolute value of the forecasted annual change in power consumption globally. As we enhance our ability to capture and analyze this data, we will begin evaluating higher-use facilities instead of only focusing on large use swings at a particular facility. In this analysis we are monitoring trends, not reporting consumption.
This report is compiled bi-annually given the information available to us. Usage is averaged over historical months where data is not available (typically due to statements unavailable from landlords in which allocation from a multi-tenanted building is necessary) and consistently evaluated.
We now have four years of data across our global facilities. After the large office and data center adjustments in FY13 and relocations and occupancy rates increase in FY14 which drove a dramatic decrease in our kWh/employee, FY15 showed a stabilization trend at most locations.
The numbers of examined regional outliers were 24 in the Americas, 11 in EMEA, and 16 in APAC.
Outliers showing a drop in consumption per employee are explained due to an increase in employee growth within the same space, increased use of shared workplace solutions, and reduction of space. Applicable in all regions but specifically APAC between FY14 and FY15 the regional number of assigned office employees indirectly grew as kWh was reduced. In some isolated cases, consumption reduction is due to temporary empty spaces, with no employees, but no consumption at all.
Outliers showing an increase in consumption per employee are due to shifts in operations and staffing levels where space reductions could not be completed, changing employees to decentralized (spreading consumption across a smaller population), large construction project utility usage, and adding new space while employee growth ramped up to work space capacity.
There are still a couple of unexplained outliers which are related to lack of accuracy of some of the data since it is provided by the landlord. In this period there were only a few having large increases in consumption and were due to increased data center usage and the early stages of ramping up occupancy.
As mentioned earlier, most outliers were decreasing given rapid employee growth to fill previously built FY14 expansion while controlling the addition of more new space in FY15. Other decreases were a result of the installation of new, more efficient AC equipment, shifting from multi-tenant power allocation to direct meter and additional sustainability initiatives which started being implemented on a local basis at different countries (IE Led lighting, PIRs.)
Now, with four full year periods we can make interesting conclusions. Initially, with the exception of APAC, kWh per employee figures decreased dramatically and are now tightening up. This can be attributed to a more mature and understood collection process. From now on we would expect only small year over year variations at most of the analyzed buildings, with outliers during the transition at relocations or upsizing /downsizing scenarios. This in itself will continue to further normalize the trend and the understanding of what may be happening either positively or negatively at any given location. Speaking more broadly, the identified trends correctly represent activity and strategy the business has implemented the prior year.
What is still more interesting is to compare FY12 Vs FY15 variations: Total -24% consumption per capita reductions observed from the beginning of these reports up to now shows that optimization efforts (building occupancy rates increase, electricity consumption reduction devices, sustainable use of AC systems and comfort temperatures set up) produced a successful result.
Looking forward and as PAREXEL places emphasis on tightening margins, targeting lower cost locations for employee growth and further implementation of agile work practices, we can expect for KwH/employee in the Americas and APAC to hold steady, and EMEA to continue with some reduction.