Abstract

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.

中文翻译：

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农村微电网供电的分布式FogMicroDataCenters中的可持续性建模和绿色能源优化

摘要

当今政府期待实现“人人享有能源”标准。各国致力于减少碳排放。最近，每个通常拥有并运营着大型数据中心（DC）的IT行业巨头都期待实现“ 100％使用绿色能源为其数据中心供电，以相当于其电力消耗的方式为公用事业做出贡献”。电气化和逐步脱碳仍然是全球关注的重大问题。因此，很明显，对基于MicroGrid（MG）的设施的需求实际上是强制性的。但是，可再生能源（RE）发电源（例如太阳能电池板，风力发电机）的间歇性（不可靠性/不可用性）通常会阻碍利益相关者，政府和IT行业完成此类社会和经济计划。因此，与公用电网连接的SmartMicroGrid（SMG）可以支持电力行业，以避免将来断电。在互连的工业4.0工厂中，实际上可以预见到双向电源和双向通讯网络的智能管理。他们高度依赖现代，集成的信息和通信技术（IoT传感器，雾和云计算等）。在本文中，我们集中于两个目标。首先，我们的目标是确定最佳的可再生能源发电能力，以最大程度地降低微电网的投资成本。其次，我们的目标是最大程度地利用运行在FogMicroDataCenter（fogMDC）上，由微电网支持并由Sofware Defined Networking（SDN）控制的应用程序使用更多清洁能源。我们为拟议工作使用了印度泰米尔纳德邦的现实气象数据。据我们所知，这是针对两种不同场景（为性能模型和经济模型提供帮助，以MG为动力的FogMDC）提出的第一项工作。拟议的经济建模工作与发现，分布式能源的最佳规模和财务成本有关。拟议的性能建模是关于由微电网供电的fogMDC中用于运营的清洁能源使用，由SDN支持以基于分布式虚拟机（VM）的高效资源利用，以保证对时间敏感的IoT应用程序中的QoS。拟议的经济建模工作与发现，分布式能源的最佳规模和财务成本有关。拟议的性能建模是关于由微电网供电的fogMDC中用于运营的清洁能源使用，由SDN支持以基于分布式虚拟机（VM）的高效资源利用，以保证对时间敏感的IoT应用程序中的QoS。拟议的经济建模工作与发现，分布式能源的最佳规模和财务成本有关。拟议的性能建模是关于由微电网供电的fogMDC中用于运营的清洁能源使用，由SDN支持以基于分布式虚拟机（VM）的高效资源利用，以保证对时间敏感的IoT应用程序中的QoS。