用于电源管理应用的实时远程能耗定位

IF 2.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY
Sam Moayedi, Hamed Nabizadeh Rafsanjani, S. Shom, M. Alahmad, C. Ahn
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引用次数: 3

摘要

摘要发电量不断增加,以满足日益增长的建筑环境需求。建筑物的各种插头负载是节能潜力的目标。然而,为了实现这些节约,监控其能源消耗并向最终用户提供全面的实时能源使用信息至关重要。实时能量监测设备是实现这一目的的重要工具。然而,为每个负载和整个建筑部署这些设备的成本过高。另一种方法是部署工具来实时远程识别活动负载的位置。本研究提出开发能量节点定位方法(ENLM)平台,该平台基于序列时域反射法(STDR)实时远程定位和测量建筑物中每个电气节点的耗电负载。所提出的ENLM利用来自任何连接负载的分支电路处的注入信号和反射信号之间的测量延迟来计算物理导线的长度,以识别能量使用的位置。具有实时功耗数据的该信息与占用者的进入数据相关联,以识别在哪里以及使用了多少能量。进行了各种测试来验证所提出的平台,结果证实了平台的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-time remote energy consumption location for power management application
ABSTRACT Electricity generation continue to increase to meet the ever-growing demand of the built environment. Building’s miscellaneous plug loads are targeted for energy savings potentials. However, to achieve these savings, monitoring their energy consumption and providing comprehensive real-time energy usage information to the end-user is paramount. Real-time energy monitoring devices are significant tools for this purpose. However, deploying these devices for each load and for entire building, is cost-prohibitive. An alternative approach is to deploy tools to remotely identify the location of active-loads in real-time. This research proposes the development of the Energy Node Locating Method (ENLM) platform that remotely locates and measures power consuming loads at every electrical node, in the building, in real-time based on Sequence Time Domain Reflectometry (STDR). The proposed ENLM utilizes the measured time-delay between an injected and reflected signal at a branch circuit from any connected load to calculate the length of the physical wire to identify the location of energy usage. This information with real-time power consumption data are correlated with occupant’s entry data to identify where and how much energy is used. Various tests are conducted to validate the proposed platform, and the results confirm the validity of the platform.
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来源期刊
Advances in Building Energy Research
Advances in Building Energy Research CONSTRUCTION & BUILDING TECHNOLOGY-
CiteScore
4.80
自引率
5.00%
发文量
11
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