A High-Resolution Open Source Platform for Building Envelope Thermal Performance Assessment Using a Wireless Sensor Network.

heat flow open platform thermal performance wireless sensor network

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
21 Mar 2020
Historique:
received: 24 01 2020
revised: 05 03 2020
accepted: 19 03 2020
entrez: 5 4 2020
pubmed: 5 4 2020
medline: 5 4 2020
Statut: epublish

Résumé

This paper presents an in-situ wireless sensor network (WSN) for building envelope thermal transmission analysis. The WSN is able to track heat flows in various weather conditions in real-time. The developed system focuses on long-term in-situ building material variation analysis, which cannot be readily achieved using current approaches, especially when the number of measurement hotspots is large. This paper describes the implementation of the proposed system using the heat flow method enabled through an adaptable and low-cost wireless network, validated via a laboratory experiment.

Identifiants

pubmed: 32245278
pii: s20061755
doi: 10.3390/s20061755
pmc: PMC7147601
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Sensors (Basel). 2017 Sep 03;17(9):
pubmed: 28869521
Sensors (Basel). 2017 Dec 08;17(12):
pubmed: 29292781

Auteurs

Romwald Lihakanga (R)

Institute for Infrastructure and Environment, Heriot Watt University, Edinburgh EH14 4AS, UK.
Institute of Sensors, Signals and Systems, Heriot Watt University, Edinburgh EH14 4AS, UK.

Yuan Ding (Y)

Institute of Sensors, Signals and Systems, Heriot Watt University, Edinburgh EH14 4AS, UK.

Gabriela M Medero (GM)

Institute for Infrastructure and Environment, Heriot Watt University, Edinburgh EH14 4AS, UK.

Samuel Chapman (S)

Institute for Infrastructure and Environment, Heriot Watt University, Edinburgh EH14 4AS, UK.

George Goussetis (G)

Institute of Sensors, Signals and Systems, Heriot Watt University, Edinburgh EH14 4AS, UK.

Classifications MeSH