Abstract
Data centers have become essential to the increasing IT industry. This research proposes a sustainable data center cooling and powering management system using renewable energy. The study offers a hybrid approach for cooling and powering data centers with renewable energy (wind and solar) based on geographical location and availability, including a survey with experts who have experience working related to data centers. This research has taken several surveys to analyze the proposed model’s feasibility and shown a smaller data center’s calculation and cost-saving estimation to evaluate the approximate costs after incorporating renewable sources in powering data centers. The study also aims to utilize grid electricity as a secondary source and renewable energy as a primary one. The feasibility of the suggested strategy was assessed in this research using the physical location of Bangladesh and the advice of experts.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Malkamäki, T., Ovaska, S.J.: Solar energy and free cooling potential in european data centers. Procedia Comput. Sci. 10, 1004–1009 (2012)
Shehabi, A., Smith, S.J., Masanet, E., Koomey, J.: Data center growth in the United States: decoupling the demand for services from electricity use. Environ. Res. Lett. 13(12), 124030 (2018)
Huang, H., Li, H., Shao, C., Sun, T., Fang, W., Dang, S.: Data redundancy mitigation in V2X based collective perceptions. IEEE Access 8, 13405–13418 (2020)
Laganà, D., Mastroianni, C., Meo, M., Renga, D.: Reducing the operational cost of cloud data centers through renewable energy. Algorithms 11(10), 145 (2018)
Goiri, Í., Katsak, W., Le, K., Nguyen, T.D., Bianchini, R.: Designing and managing data centers powered by renewable energy. IEEE Micro 34(3), 8–16 (2014)
Brown, M., Renau, J.: ReRack: power simulation for data centers with renewable energy generation. ACM SIGMETRICS Perform. Eval. Rev. 39(3), 77–81 (2011)
Simon, H., Enida, S., Sébastien, L., Neki, F.: Geographical Competitiveness for Powering Datacenters with Renewable Energy (2016)
Zhang, Y., Wang, Y., Wang, X.: GreenWare: greening cloud-scale data centers to maximize the use of renewable energy. In: Kon, F., Kermarrec, A.-M. (eds.) Middleware 2011. LNCS, vol. 7049, pp. 143–164. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-25821-3_8
Ghamkhari, M., Rad, H.M.: Optimal Integration of Renewable Energy Resources in Data Centers with Behind-the-Meter Renewable Generator, pp. 3340–3344 (2012)
Li, C., Quoneh, A., Li, T.: Characterizing and analyzing renewable energy. In: SIGMETRICS 2011: Proceedings of the ACM SIGMETRICS Joint International Conference on Measurement and Modeling of Computer Systems, pp. 131–132 (2011)
Li, Y., Wang, X., Luo, P., Pan, Q.: Thermal-aware hybrid workload management in a green datacenter towards renewable energy utilization. Energies 12(8), 1494 (2019)
Ogawa, M., et al.: Development of a cooling control system for data centers utilizing indirect fresh air based on model predictive control. In: 2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), pp. 132–137 (2015)
Roger, S., Beaty, D., Dietrich, J.: Increasing energy efficiency in data centers. ASHRAE J. 49(12), 18 (2007)
Mathew, J., Lee, P.-S., Wu, T., Yap, C.R.: Experimental study of flow boiling in a hybrid microchannel-microgap heat sink. Int. J. Heat Mass Transf. 135, 1167–1191 (2019)
Kim, J.Y., Chang, H.J., Jung, Y.H., Cho, K.M., Augenbroe, G.: Energy conservation effects of a multi-stage outdoor air enabled cooling system in a data center. Energy Build. 138, 257–270 (2017)
Lu, H., Zhang, Z., Yang, L.: A review on airflow distribution and management in data center. Energy Build. 179, 264–277 (2018)
Kanargi, B., Tan, J.M.S., Lee, P.S., Yap, C.: A tapered inlet/outlet flow manifold for planar, air-cooled oblique-finned heat sink. Appl. Therm. Eng. 174, 115250 (2020)
Zhao, J., et al.: An advanced power and thermal optimized high density rack solution for data center energy efficiency. In: 2020 19th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm), pp. 383–388 (2020)
Tian, H., He, Z., Li, Z.: A combined cooling solution for high heat density data centers using multi-stage heat pipe loops. Energy Build. 94, 177–188 (2015)
Nguyen, K.-K., Cheriet, M., Lemay, M., Savoie, M., Ho, B.: Powering a data center network via renewable energy: a green testbed. IEEE Internet Comput. 17(1), 40–49 (2013)
Koomey, J.G.: Worldwide electricity used in data centers. Environ. Res. Lett. 3(3), 034008 (2008)
Andrae, A.S.G., Edler, T.: On global electricity usage of communication technology: trends to 2030. Challenges 6(1), 117–157 (2015)
Acknowledgments
We thank a few people who have helped us check our proposed model’s feasibility.
Siam Abdullah, Front End Platform Team Member at Bing, Microsoft. Salah Uddin Oliver, IT consultant/industrial solution supplier who has completed his M.Sc. in Computer Systems and Networks from Warsaw University of Technology (WUT), Current working in Gearrox Bangladesh (Tejgaon). Muhtasin Haque Navid, System Engineer at AmberIT Limited. Dr. Mohammad Rezwanul Huq, Associate Professor, Dept. of Computer Science Engineering, East-West University, Bangladesh, Ph.D. in Computer Science, University of Twente, The Netherlands. Nuzhat Tabassum, A graduate of Warsaw University, is currently working as a faculty in MIST (military institution of science and technology).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Yeasmin, S., Afrin, N., Saif, K., Reza, A.W., Arefin, M.S. (2023). Towards Building a Sustainable System of Data Center Cooling and Power Management Utilizing Renewable Energy. In: Vasant, P., Weber, GW., Marmolejo-Saucedo, J.A., Munapo, E., Thomas, J.J. (eds) Intelligent Computing & Optimization. ICO 2022. Lecture Notes in Networks and Systems, vol 569. Springer, Cham. https://doi.org/10.1007/978-3-031-19958-5_67
Download citation
DOI: https://doi.org/10.1007/978-3-031-19958-5_67
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-19957-8
Online ISBN: 978-3-031-19958-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)