Consumption Trend Analysis
(revised: March 2017)
By monitoring kWh consumption-per-employee trends across our facilities, we can identify when unusual usage occurs at our locations, evaluate why these outliers occur and work to resolve the issue or share a best practice. An outlier is a location calculating a reduced or increased consumption level 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 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 saw a significant increase in kWh/employee in FY14, which stabilized in FY15 at most locations. FY16 showed a trend in decreased usage across three regions, leading to a 2.3% total reduction.
We examined outliers and identified 14 in the Americas, 25 in EMEA, and 14 in APAC.
Some of the above-mentioned outliers are apparent at buildings where our employee population is very small. Offices with a small number of employees can have a large impact on the kWh/employee indicator and, as a consequence of this, may represent an outlier. Removing offices with fewer than 100 employees from the calculation resulted in 8 outliers in the Americas, 15 in EMEA, and 9 in APAC that require a more in-depth review.
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, or a reduction of space. Between FY15 and FY16 across all regions, 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 and no consumption at all.
Outliers showing an increase in consumption per employee are due to shifting operations and staffing levels where space reductions could not be completed, changing employees to decentralized (spreading consumption across a smaller office use population), or decreasing employees without space reduction.
There are still three unexplained outliers, which may be related to lack of accuracy of some of the data because it is provided by the landlord.
As mentioned earlier, most outliers decreased given rapid employee growth to fill previously built FY15 expansion while controlling the addition of new space in FY16. Other decreases resulted from the installation of new, more efficient AC equipment, a shift from multi-tenant power allocation to direct meter, and additional sustainability initiatives that started being locally implemented at different countries (e.g., IE LED lighting, PIRs.)
Since FY12, total kWh per employee figures decreased dramatically. Total kWh tightened during FY14 -FY15, and decreased during FY16. This can be attributed to a more mature and understood collection process. Going forward, we expect only small year-over-year variations at most analyzed buildings, with outliers during the transition at relocations or upsizing /downsizing scenarios. This 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 the activity and strategy the business has implemented the prior year.
Looking forward, as PAREXEL places emphasis on tightening margins, targeting lower-cost locations for employee growth, and further implementation of agile work practices, we expect Kwh/employee to hold steady or show small reductions.