APCr

Data centers can achieve higher sustainability by adjusting their operations to the tune of clean energy production (e.g. load shifting). DC4Cities proposed in 2014 a metric which captures how much the energy consumption profile of a data center matches the availability of renewable and green energy: Adaptability Power Curve at Renewable Energies.

Details

Unit: NA

Minimum: 1.0

Maximum: -∞

Ideal: 1.0

Formula

APC_{ren} = 1 - \frac{\sum_{i=1}^{n} |K E_{Ren i} - E_{DC i}|} {\sum_{i=1}^{n} E_{Ren i}}

K = \frac{\sum_{i=1}^{n} E_{DC i}} {\sum_{i=1}^{n} E_{Ren i}}

Where

Ereni is the renewable energy production on the grid (or onsite) in kWh,
EDCi is the total energy consumption of the data center in kWh,
K serves as an adjustment factor to meaningfully compute $E_{ren i}$ against $E_{DC i}$,
i is the time period, and
n is the sample size

As the amount of renewable electricity on the grid is far higher than what a data center consumes, K is needed to equalize their magnitudes.

Evaluation

Has not been used in the industry.

Improvement Strategies

Load shifting.

Sources

[1] Cluster Activities Task 3

[2] Metrics for Assessing Flexibility and Sustainability of Next Generation Data Centers [pdf]

PreviousGEC NextCUE

Last updated 2 years ago

Formula

APC_{ren} = 1 - \frac{\sum_{i=1}^{n} |K E_{Ren i} - E_{DC i}|} {\sum_{i=1}^{n} E_{Ren i}}

K = \frac{\sum_{i=1}^{n} E_{DC i}} {\sum_{i=1}^{n} E_{Ren i}}

Where

Ereni is the renewable energy production on the grid (or onsite) in kWh,

EDCi is the total energy consumption of the data center in kWh,

K serves as an adjustment factor to meaningfully compute $E_{ren i}$ against $E_{DC i}$,

i is the time period, and

n is the sample size

As the amount of renewable electricity on the grid is far higher than what a data center consumes, K is needed to equalize their magnitudes.