Suppr超能文献

用于住宅建筑能源和室内环境质量监测的无线传感器网络:设计、仪器仪表、数据分析和反馈。

A Wireless Sensor Network for Residential Building Energy and Indoor Environmental Quality Monitoring: Design, Instrumentation, Data Analysis and Feedback.

机构信息

Université Gustave Eiffel, CNRS, ESYCOM, F-77454 Marne-la-Vallée, France.

Université Gustave Eiffel, COSYS, F-77420 Champs-sur-Marne, France.

出版信息

Sensors (Basel). 2023 Jun 14;23(12):5580. doi: 10.3390/s23125580.

Abstract

This article outlines the implementation and use of a large wireless instrumentation solution to collect data over a long time period of a few years for three collective residential buildings. The sensor network consists of a variety of 179 sensors deployed in building common areas and in apartments to monitor energy consumption, indoor environmental quality, and local meteorological conditions. The collected data are used and analyzed to assess the building performance in terms of energy consumption and indoor environmental quality following major renovation operations on the buildings. Observations from the collected data show energy consumption of the renovated buildings in agreement with expected energy savings calculated by an engineering office, many different occupancy patterns mainly related to the professional situation of the households, and seasonal variation in window opening rates. The monitoring was also able to detect some deficiencies in the energy management. Indeed, the data reveal the absence of time-of-day-dependent heating load control and higher than expected indoor temperatures because of a lack of occupant awareness on energy savings, thermal comfort, and the new technologies installed during the renovation such as thermostatic valves on the heaters. Lastly, we also provide feedback on the performed sensor network from the experiment design and choice of measured quantities to data communication, through the sensors' technological choices, implementation, calibration, and maintenance.

摘要

本文概述了一种大型无线仪器解决方案的实施和使用情况,该解决方案用于在几年的时间内收集三座集体住宅楼的长时间数据。传感器网络由各种 179 个传感器组成,部署在建筑物公共区域和公寓内,以监测能源消耗、室内环境质量和当地气象条件。所收集的数据用于分析和评估建筑物在进行重大翻新工程后的能源消耗和室内环境质量。从收集的数据中观察到,翻新后的建筑物的能耗与工程办公室计算的预期节能一致,有许多不同的占用模式主要与家庭的职业情况有关,以及窗户开度的季节性变化。监测还能够检测到能源管理中的一些缺陷。实际上,数据显示缺乏与一天中的时间相关的加热负荷控制,以及由于缺乏对节能、热舒适度以及翻新期间安装的新技术(如散热器上的恒温阀)的认识而导致的室内温度高于预期。最后,我们还通过传感器的技术选择、实施、校准和维护,从实验设计和测量量的选择到数据通信,对所执行的传感器网络提供反馈。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c22/10303901/64449f803dd0/sensors-23-05580-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验