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In April 2016 Manchester eScholar was replaced by the University of Manchester’s new Research Information Management System, Pure. In the autumn the University’s research outputs will be available to search and browse via a new Research Portal. Until then the University’s full publication record can be accessed via a temporary portal and the old eScholar content is available to search and browse via this archive.

Monitoring Thermal Comfort in the Built Environment Using a Wired Sensor Network

Pitt, Luke

[Thesis]. Manchester, UK: The University of Manchester; 2016.

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Abstract

This thesis documents a sensor networking project with an interest in internal environment monitoring in relation to thermal comfort. As part of this project sensor nodes were designed, built and deployed. Data was collected from the nodes via a wired Ethernet network and was stored in a database. The network remains operational several years after its initial deployment. The collected data was analyzed in conjunction with data from a local meteorological station and the building's smart fiscal energy meters. The analysis suggests the possibility of automated thermal comfort classification using data from a sensor network.

Additional content not available electronically

DVD containing source code, hardware diagrams and sensor data attached to the inside back cover of the printed thesis.

Bibliographic metadata

Type of resource:
Content type:
Administered thesis
Form of thesis:
Traditional
Type of submission:
Doctoral level ETD - final
Thesis title:
Monitoring Thermal Comfort in the Built Environment Using a Wired Sensor Network
Degree type:
Doctor of Philosophy
Degree programme:
PhD Electrical & Electronic Engineering (42 month)
Publication date:
2016-04-29T16:10:25
Institution:
The University of Manchester
Location:
Manchester, UK
Total pages:
165
Abstract:
This thesis documents a sensor networking project with an interest in internal environment monitoring in relation to thermal comfort. As part of this project sensor nodes were designed, built and deployed. Data was collected from the nodes via a wired Ethernet network and was stored in a database. The network remains operational several years after its initial deployment. The collected data was analyzed in conjunction with data from a local meteorological station and the building's smart fiscal energy meters. The analysis suggests the possibility of automated thermal comfort classification using data from a sensor network.
Additional digital content not deposited electronically:
DVD containing source code, hardware diagrams and sensor data attached to the inside back cover of the printed thesis.
Keyword(s):
Thesis main supervisor(s):
Funder(s):
Degree grantor:
Language:
en

Institutional metadata

University researcher(s):
Academic department(s):

Record metadata

Manchester eScholar ID:
uk-ac-man-scw:300581
Created by:
Pitt, Luke Anthony
Created:
29th April, 2016, 15:10:25
Last modified by:
Pitt, Luke Anthony
Last modified:
6th April, 2017, 08:06:04

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