42
approximate the amount of electricity and natural gas consumed per square foot of the
full building. This per square foot consumption factor was next applied to AS’s rented
area (~45,000 ft
2
) to also derive a footprint estimate. This approach would likely
generate a more accurate total energy draw as it would also account for the operation of
the data centre, however we note the estimate would also be affected by other, non-
animation, uses in the building, such as common space conditioning, boiler rooms, and
other uses. Consequently we have elected to take a conservative estimate to total
estimated emissions resulting from building conditioning and data centre operation by
averaging the range in values.
Further detail, values, and assumptions to the calculations above are noted in Appendix D1.
4.3 Data centre and supporting large equipment estimate
As an accounting exercise specific to animation and to the AS data centre, we sought to
quantify the data centre operating footprint to provide a sense of the potential carbon impact of
this particular area. We note that this estimate is likely additive to the AS utility bill/carbon
estimates previously presented (Estimate #1), and conversely would be accounted for in the full
building carbon estimate (Estimate #2). The data centre estimate is included here to provide
further resolution on the emissions impact of AS’s data centre, but this value should not be
added to the carbon footprint total due to the reasons elucidated above.
The carbon footprint associated with the data centre in 2022 is estimated at 33 tonnes of CO
2
-
equivalent, based on the approximation of energy use associated with select major equipment.
The following calculation and general assumptions were applied:
1. We applied the total estimated power consumption from the racks, based on an
estimated average daily power draw, multiplied by the total number of racks, 24-hour
run-time, and 364 days of operation a year. These racks reflect 90% of the power draw
used by machines within the facility, remote work requests (i.e. for image rendering), as
well as ongoing rendering.
2. For the scalar tape processing unit that is used to write products to tape, we applied the
general power draw (estimated) of a tape library unit, 24-hour run-time and 364 days of
operation a year to derive approximate power consumption and associated emissions.