Home Energy Management Systems: Challenges, Heterogeneity & Integration Architecture Towards A Smart City Ecosystem

Georgios Kormpakis, Alexios Lekidis, Elissaios Sarmas, Giannis Papias, Filippos Serepas, George Stravodimos, Vangelis Marinakis
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Abstract

The contemporary era is marked by rapid urban growth and increasing population. A significant, and constantly growing, portion of the global population now resides in major cities, leading to escalating energy demands in urban centers. As urban population is expected to keep on expanding in the near future, the same is also expected to happen with the associated energy requirements. The situation with the continuously increasing energy demand, along with the emergence of smart grids and the capabilities that are already -- or can be -- offered by Home Energy Management System (HEMS), has created a lot of opportunities towards a more sustainable future, with optimized energy consumption and demand response, which leads to economic and environmental benefits, based on the actual needs of the consumers. In this paper, we begin by providing an analytical exploration of the challenges faced at both the development and deployment levels. We proceed with a thorough analysis and comparison between the abundance of devices, smart home technologies, and protocols currently used by various products. Following, aiming to blunt the currently existing challenges, we propose a reliable, flexible, and extendable architectural schema. Finally, we analyze a number of potential ways in which the data deriving from such implementations can be analyzed and leveraged, in order to produce services that offer useful insights and smart solutions towards enhanced energy efficiency.
家庭能源管理系统:迈向智能城市生态系统的挑战、异构性与集成架构
当代城市发展迅速,人口不断增加。目前,全球人口中有很大一部分居住在大城市,而且这一比例还在持续增长,这导致城市中心的能源需求不断攀升。预计在不久的将来,城市人口还将继续增长,相关的能源需求也会随之增长。在能源需求持续增长的形势下,智能电网的出现以及家庭能源管理系统(HEMS)已经或可以提供的功能,为实现更可持续的未来创造了大量机会,其中包括优化能源消耗和需求响应,从而根据消费者的实际需求带来经济和环境效益。在本文中,我们首先分析探讨了在开发和部署层面所面临的挑战。接着,我们对目前各种产品所使用的大量设备、智能家居技术和协议进行了深入分析和比较。随后,为了应对当前存在的挑战,我们提出了一个可靠、灵活、可扩展的架构方案。最后,我们分析了分析和利用这些实施所产生的数据的一些潜在方法,以便提供有用的见解和智能解决方案,从而提高能源效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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