Sustainability modelling and green energy optimisation in microgrid powered distributed FogMicroDataCenters in rural area
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Government now-a-days are looking forward to achieve “Energy for All” standards. Countries are committing themselves to reduce carbon emissions. Recently, every IT industry giants, who typically own and operate huge Data Centers (DC) are looking forward to achieve “100% usage of green energy to power their datacenters, contribute to the utility grid in equivalence to their electrical power consumptions”. Electrification and gradual decarbonisation still continue as significant, global concern. Hence it is pretty clear that need for MicroGrid (MG) based facilities is actually a mandatory. But intermittent-characteristic (unreliability/unavailability) of Renewable-Energy (RE) generating sources (like Solar Panels, Wind Turbines) regularly hinder both the stake holders-Government and IT industry from accomplishing such social and economic initiatives. Hence SmartMicroGrid (SMG) connected with utility grid are envisioned to support powering industries inorder to avoid future power outages. Interconnected industry4.0 factories where, actually the smart-management interms of two-way power supply and two-way communication network is foreseen. They are highly dependent on modern, integrated, Information and Communication technologies (IoT sensors, Fog and Cloud computing etc.). In this paper we have focussed on two objectives. Firstly our objective is to identify, optimum renewable-generation-capacities inorder to minimise investment cost of a microgrid. Secondly our objective is to maximize usage of more clean energy for applications running on FogMicroDataCenter (fogMDC), powered by microgrids and controlled by Sofware Defined Networking (SDN). We have used realistic meteorological data of Tamil nadu, India for our proposed work. To the best of our knowledge, this is the first work proposed for two different scenarios, performance modelling and economic modelling aiding MG powered FogMDCs. Proposed economic modelling work is related to finding, the optimum sizing of distributed energy resources and financial cost. Proposed performance modelling is about, the clean energy usages in micro grid powered fogMDC for operations, supported by SDN for efficient distributed Virtual Machine (VM) based resource utilization to guarantee QoS in time sensitive IoT applications.
KeywordsMicroGrid optimal sizing Green Data Centers Fog computing Software Defined Networking (SDN)
- 1.India is committed for 33 to 35 percent cut in carbon emission intensity by 2030, 2018. [Online]. Available https://www.apnnews.com/pm-modi-says-india-is-committed-for-33-to-35-percent-cut-in-carbon-emission-intensity-by-2030/. Accessed Dec 2018.
- 2.Marcacci, S. (2018). Google and apple lead the corporate charge toward 100% renewable energy. [Online]. Available https://www.forbes.com/sites/energyinnovation/2018/04/12/google-and-apple-lead-the-corporate-charge-toward-100-renewable-energy/#50005e691b23. Accessed Dec 2018.
- 3.2018 outlook for energy: A view to 2040, 2018. [Online]. Available https://cdn.exxonmobil.com/~/media/global/files/outlook-for-energy/2018/2018-outlook-for-energy.pdf. Accessed Nov 2018.
- 4.Household electrification status. [Online]. Available http://saubhagya.gov.in/. Accessed Jan 2019.
- 8.Hernandez, D. (2017). How much data will the Internet of Things (IoT) generate by 2020?. Bangalore: Versa Technology.Google Scholar
- 9.Stack, T. (2018). Internet of Things (IoT) data continues to explode exponentially. Who is using that data and how? https://blogs.cisco.com/datacenter/internet-of-things-iot-data-continues-to-explode-exponentially-who-is-using-that-data-and-how. Accessed Oct 2018.
- 10.Yi, S., Hao, Z., Qin, Z., & Li, Q. (2015). Fog computing: Platform and applications. In 2015 third IEEE workshop on hot topics in web systems and technologies (HotWeb) (pp. 73–78).Google Scholar
- 11.Kim, Y.-J., He, K., Thottan, M., & Deshpande, J. G. (2014) Virtualized and self-configurable utility communications enabled by software-defined networks. In 2014 IEEE international conference on smart grid communications (SmartGridComm) (pp. 416–421).Google Scholar
- 13.National Solar Radiation Database (NSRDB). [Online]. Available https://nsrdb.nrel.gov/. Accessed Dec 2018.
- 20.Brp, B. R. P., Kandasamy, K., Subramanian, K., & Thangaraj, C. (2015). Energy model of electric sector for Tamil Nadu. International Journal of Applied Engineering Research,10, 5681–5687.Google Scholar
- 22.Gary, M., & Johnson, D. (1979). Computers and intractability: A guide to the theory of NP-completeness. New York: WH Freman and Co.Google Scholar
- 26.Taneja, M., & Davy, A. (2017). Resource aware placement of IoT application modules in fog-cloud computing paradigm. In Proceedings of the IM 2017 - 2017 IFIP/IEEE international Symposium on integrated network and service management (pp. 1222–1228).Google Scholar
- 30.Cardellini, V., Grbac, T.G., Kassler A., Kathiravelu, P., Presti FL, Marotta, A., Nardelli, M., & Veiga, L. (2018). Integrating SDN and NFV with QoS-aware service composition. In I. Ganchev, R. van der Mei, H. van den Berg (Eds.), Autonomous control for a reliable internet of services (pp. 212–240). Cham: Springer.CrossRefGoogle Scholar
- 31.Hannon, C., Yan, J., & Jin, D. (2016). DSSnet: A smart grid modeling platform combining electrical power distribution system simulation and software defined networking emulation. In Proceedings of the 2016 ACM SIGSIM conference on principles of advanced discrete simulation (pp. 131–142).Google Scholar
- 33.Zhang, Y., Wang, Y., & Wang, X. (2011). Greenware: Greening cloud-scale data centers to maximize the use of renewable energy. In ACM/IFIP/USENIX international conference on distributed systems platforms and open distributed processing (pp. 143–164).Google Scholar
- 34.Grigoryan, G., Bahmani, K., Schermerhorn, G., & Liu, Y. (2018). GRASP: A green energy aware SDN platform. In IEEE INFOCOM 2018-IEEE conference on computer communications workshops (INFOCOM WKSHPS) (pp. 784–789).Google Scholar
- 35.Palizban, O., & Kauhaniemi, K. (2013). Microgrid control principles in island mode operation. In PowerTech (POWERTECH), 2013 IEEE grenoble (pp. 1–6).Google Scholar
- 37.Our electric grids are equipped with a ‘tsunami’ of data, but they’re still super vulnerable to storms. [Online]. Available https://www.businessinsider.com.au/smart-electrical-grid-with-big-data-2015-10. Accessed July 2018.
- 38.Sanger, D. E. (2018). Russian Hackers Appear to Shift Focus to U.S. Power Grid. [Online]. Available https://www.nytimes.com/2018/07/27/us/politics/russian-hackers-electric-grid-elections-.html. Accessed Jan 2019.