TY - GEN
T1 - An Analysis of the Energy Infrastructure in Generic Data Centres
AU - Abdelsalam, Younis Osama
AU - Persoons, Tim
AU - Alimohammadi, Sajad
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022/9/28
Y1 - 2022/9/28
N2 - This paper discusses how data centres have become essential to modern life due to our dependency on them in an ever-growing cloud age. However, data centres also cause problems on a global scale on account of the copious amounts of electricity they consume, and the attributed carbon emissions associated with their operations. This paper presents a novel methodology to study their energy infrastructure by creating an open-source model built in Microsoft Excel that captures all elements of the energy flow in and out of data centres. The developed model can output hourly figures that can be studied to conceptualize the natural and active cooling requirements, energy consumption, the amount of renewable energy generated, and the energy utilization of what is consumed by the data centre; be it renewable energy, imported electricity, or excess generation. The model can also account for local weather conditions for a specific time of the year and utilize previous weather data averages to predict future energy consumption trends and performance.
AB - This paper discusses how data centres have become essential to modern life due to our dependency on them in an ever-growing cloud age. However, data centres also cause problems on a global scale on account of the copious amounts of electricity they consume, and the attributed carbon emissions associated with their operations. This paper presents a novel methodology to study their energy infrastructure by creating an open-source model built in Microsoft Excel that captures all elements of the energy flow in and out of data centres. The developed model can output hourly figures that can be studied to conceptualize the natural and active cooling requirements, energy consumption, the amount of renewable energy generated, and the energy utilization of what is consumed by the data centre; be it renewable energy, imported electricity, or excess generation. The model can also account for local weather conditions for a specific time of the year and utilize previous weather data averages to predict future energy consumption trends and performance.
KW - Data centres
KW - efficiency improvement
KW - energy model
KW - modular
UR - http://www.scopus.com/inward/record.url?scp=85143328534&partnerID=8YFLogxK
U2 - 10.1109/THERMINIC57263.2022.9950666
DO - 10.1109/THERMINIC57263.2022.9950666
M3 - Conference contribution
AN - SCOPUS:85143328534
T3 - THERMINIC 2022 - 28th International Workshop on Thermal Investigations of ICs and Systems, Proceedings
BT - THERMINIC 2022 - 28th International Workshop on Thermal Investigations of ICs and Systems, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th International Workshop on Thermal Investigations of ICs and Systems, THERMINIC 2022
Y2 - 28 September 2022 through 30 September 2022
ER -