TY - GEN
T1 - Joint capacity planning and operational management for sustainable data centers and demand response
AU - Le, Tan N.
AU - Liu, Zhenhua
AU - Chen, Yuan
AU - Bash, Cullen
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/6/21
Y1 - 2016/6/21
N2 - Reducing costs plays a crucial role in building and operating data centers. Internet service providers such as Facebook and Google spend billions of dollars on capacity expansion and operations of their global data centers. Traditionally, capacity planning for data centers is done separately from operational management, which incurs inefficiency. In fact, operational management has significant impacts on capacity planning. Motivated by this gap, we propose a framework that jointly optimizes both capacity planning and operational management for sustainable data centers and data centers participating in demand response programs. Numerical results based on real-world cases highlight that the proposed framework remarkably reduces up to 50% of total expenditures and 75% of greenhouse gas emissions compared to conventional methods. Additionally, our results show that participations in various demand response programs result in vastly different capacity planning decisions and lead to emission reductions of up to 60%.
AB - Reducing costs plays a crucial role in building and operating data centers. Internet service providers such as Facebook and Google spend billions of dollars on capacity expansion and operations of their global data centers. Traditionally, capacity planning for data centers is done separately from operational management, which incurs inefficiency. In fact, operational management has significant impacts on capacity planning. Motivated by this gap, we propose a framework that jointly optimizes both capacity planning and operational management for sustainable data centers and data centers participating in demand response programs. Numerical results based on real-world cases highlight that the proposed framework remarkably reduces up to 50% of total expenditures and 75% of greenhouse gas emissions compared to conventional methods. Additionally, our results show that participations in various demand response programs result in vastly different capacity planning decisions and lead to emission reductions of up to 60%.
KW - Capacity planning
KW - Demand response
KW - Operational management
KW - Sustainable data centers
UR - https://www.scopus.com/pages/publications/84979529914
U2 - 10.1145/2934328.2934344
DO - 10.1145/2934328.2934344
M3 - Conference contribution
AN - SCOPUS:84979529914
T3 - Proceedings of the 7th International Conference on Future Energy Systems, e-Energy 2016
BT - Proceedings of the 7th International Conference on Future Energy Systems, e-Energy 2016
PB - Association for Computing Machinery, Inc
T2 - 7th International Conference on Future Energy Systems, e-Energy 2016
Y2 - 21 June 2016 through 24 June 2016
ER -