Integration of Smart Home technologies for district heating control in Pervasive Smart Grids

R. Mihailescu, P. Davidsson
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引用次数: 4

Abstract

Pervasive technologies permeating our immediate surroundings provide a wide variety of low-cost means of sensing and actuating in our environment. This paper presents an approach for leveraging insights onto the lifestyle and routines of the users in order to control heating in a smart home through the use of individual climate zones, while ensuring system efficiency at a grid-level scale. Organizing smart living spaces into controllable individual climate zones allows us to exert a more fine-grained level of control. Thus, the system can benefit from a higher degree of freedom to adjust the heat demand according to the system objectives. Whereas district heating planing is only concerned with balancing heat demand among buildings, we extend the reach of these systems inside the home through the use of pervasive sensing and actuation. That is to say, we bridge the gap between traditional district heating systems and pervasive technologies in the home designed to maintain the thermal comfort of the user, in order to increase efficiency. The objective is to automate heating based on the user's preferences and behavioral patterns. The control scheme proposed applies a learning algorithm to take advantage of the sensing data inside the home in combination with an optimization procedure designed to trade-off the discomfort undertaken by the user and heating supply costs. We report on preliminary simulation results showing the effectiveness of our approach and describe the setup of our forthcoming field study.
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在普适智能电网中集成智能家居技术用于区域供热控制
无处不在的技术渗透到我们周围的环境中,为我们的环境提供了各种低成本的传感和驱动手段。本文提出了一种方法,利用对用户生活方式和日常生活的洞察,通过使用单个气候区来控制智能家居的供暖,同时确保系统在电网层面的效率。将智能生活空间组织成可控制的单个气候区,使我们能够施加更细粒度的控制。因此,系统可以受益于更高的自由度,根据系统目标来调整热需求。而区域供热规划只关注平衡建筑物之间的热量需求,我们通过使用普遍的传感和驱动来扩展这些系统在家庭内部的范围。也就是说,我们弥合了传统区域供热系统与家庭中普遍存在的技术之间的差距,旨在保持用户的热舒适,以提高效率。目标是根据用户的偏好和行为模式自动加热。所提出的控制方案采用学习算法来利用家庭内部的传感数据,并结合优化程序来权衡用户所承担的不适和供暖成本。我们报告了初步的模拟结果,显示了我们的方法的有效性,并描述了我们即将进行的实地研究的设置。
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