BattSim-GDC Simulator: How much battery your green datacenter needs?

Authors

  • Enida Sheme
  • Igli Tafa
  • Fatmir Basholli

Keywords:

Green Datacenter, Simulator, Energy storage device, Battery size, Solar panels

Abstract

Green datacenters topic has been highly researched in the last decade. Main sources of clean energy currently used to feed datacenters are solar, wind and geothermal. Their intermittence poses a challenge in the research field of green datacenters. Thus, the need of an energy storage device becomes present, to store the overproduced energy, while using it when there is not enough clean energy production. In this paper, we pose the question: “How much battery is appropriate for the needs of a given datacenter, while trading-off the cost of the battery and the overproduction of clean energy”? For this, we analyze, design, and implement a simulator called BattSim-GDC, to simulate different scenarios to find the best combination between clean energy quantity and battery size, aiming the lowest waste of renewable (clean) energy production. For this study, the input energy taken in consideration is solar. The results, obtained after the simulator’s implementation, show that BattSim-GDC simulator is a necessary tool to be taken in account from administrators, when projecting a green datacenter.

References

Guerra, M. (2022). Big owners of hyperscale datacenters like Google and Microsoft are putting in place greener and smarter power solutions to achieve their energy efficiency goals. Oct 14, 2022. Accessed on https://www.batterytechonline.com/stationary-storage/battery-energy-storage-solutions-boosting-greener-data-centers.

Kiehne, D. (2019). Environmental, social and corporate governance (ESG) -also an innovation driver? InTraCoM GmbH. June 2019.

Childers, S. (2023). The IRA’s Energy Storage Credits Take Data Centers into the Future. Jan 27, 2023. Accessed on https://www.datacenterknowledge.com/industry-perspectives/ira-s-energy-storage-credits-take-data-centers-future.

Calheiros, R. N., Ranjan, R., De Rose, A. F. C., & Buyya, R. (2009) CloudSim: A Novel Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services.

Sheme, E., Stolf. P., Da Costa, G., Pierson, J. M., & Frasheri, N. (2016). Efficient Energy sources scheduling in green powered datacenters: A CloudSim Implementation. Proceedings of the Third International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2016) Sofia, Bulgaria, October, 6-7, 2016.

Sheme, E. & Frasheri, N. (2016). Implementing Workload Postponing In Cloudsim to Maximize Renewable Energy Utilization. Int. Journal of Engineering Research and Applications. ISSN: 2248-9622, Vol. 6, Issue 8, (Part - 3) August 2016, 23-28.

D. Lucanin, A geo-distributed cloud simulator. URL https://philharmonic.github.io/

Lucanin, D., Jrad, F., Brandic, I., and Streit, A. (2014) “Energy-aware cloud management through progressive SLA specification,” in 11th International Conference on Economics of Grids, Clouds, Systems, and Services (GECON). Springer, 2014, pp. 83–98.

Brown, M., & Renau, J. (2011) ReRack: Power Simulation for Data Centers with Renewable Energy Generation. ACM SIGMETRICS Performance Evaluation Review. 39. 77. 10.1145/2160803.2160865.

Klingert, S., Wilken, N. & Becker, C. (2020). Sim2Win: How simulation can help data centers to benefit from controlling their power profile. Energy Efficiency 13, 1007–1029 (2020). https://doi.org/10.1007/s12053-020-09873-5

Gupta, Sandeep K. S., Banerjee, A., Abbasi, Z., Varsamopoulos, G., Jonas, M., Ferguson, J., Gilbert, R. R., and Mukherjee, T. (2014). GDCSim: A simulator for green data center design and analysis. ACM Transactions on Modeling and Computer Simulation. Volume 24, Issue 1, Article No.: 3, pp 1–27, https://doi.org/10.1145/2553083

Omar E. (2019). Data Center Simulator for Sustainable Data Centers. Master Thesis. Institute of Architecture of Application Systems, University of Stuttgart. October 2019.

Downloads

Published

2023-03-22