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

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...

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Main Authors: Mathieu Bourdeau, Julien Waeytens, Nedia Aouani, Philippe Basset, Elyes Nefzaoui
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/12/5580
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author Mathieu Bourdeau
Julien Waeytens
Nedia Aouani
Philippe Basset
Elyes Nefzaoui
author_facet Mathieu Bourdeau
Julien Waeytens
Nedia Aouani
Philippe Basset
Elyes Nefzaoui
author_sort Mathieu Bourdeau
collection DOAJ
description 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.
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spelling doaj.art-343b8b2bb5dd417db1ceec9bf3f2a5bd2023-11-18T12:33:07ZengMDPI AGSensors1424-82202023-06-012312558010.3390/s23125580A Wireless Sensor Network for Residential Building Energy and Indoor Environmental Quality Monitoring: Design, Instrumentation, Data Analysis and FeedbackMathieu Bourdeau0Julien Waeytens1Nedia Aouani2Philippe Basset3Elyes Nefzaoui4Université Gustave Eiffel, CNRS, ESYCOM, F-77454 Marne-la-Vallée, FranceUniversité Gustave Eiffel, COSYS, F-77420 Champs-sur-Marne, FranceUniversité Gustave Eiffel, CNRS, ESYCOM, F-77454 Marne-la-Vallée, FranceUniversité Gustave Eiffel, CNRS, ESYCOM, F-77454 Marne-la-Vallée, FranceUniversité Gustave Eiffel, CNRS, ESYCOM, F-77454 Marne-la-Vallée, FranceThis 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.https://www.mdpi.com/1424-8220/23/12/5580sensorswirelessbuildingsdataenergybehaviors
spellingShingle Mathieu Bourdeau
Julien Waeytens
Nedia Aouani
Philippe Basset
Elyes Nefzaoui
A Wireless Sensor Network for Residential Building Energy and Indoor Environmental Quality Monitoring: Design, Instrumentation, Data Analysis and Feedback
Sensors
sensors
wireless
buildings
data
energy
behaviors
title A Wireless Sensor Network for Residential Building Energy and Indoor Environmental Quality Monitoring: Design, Instrumentation, Data Analysis and Feedback
title_full A Wireless Sensor Network for Residential Building Energy and Indoor Environmental Quality Monitoring: Design, Instrumentation, Data Analysis and Feedback
title_fullStr A Wireless Sensor Network for Residential Building Energy and Indoor Environmental Quality Monitoring: Design, Instrumentation, Data Analysis and Feedback
title_full_unstemmed A Wireless Sensor Network for Residential Building Energy and Indoor Environmental Quality Monitoring: Design, Instrumentation, Data Analysis and Feedback
title_short A Wireless Sensor Network for Residential Building Energy and Indoor Environmental Quality Monitoring: Design, Instrumentation, Data Analysis and Feedback
title_sort wireless sensor network for residential building energy and indoor environmental quality monitoring design instrumentation data analysis and feedback
topic sensors
wireless
buildings
data
energy
behaviors
url https://www.mdpi.com/1424-8220/23/12/5580
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