Back to results

Massachusetts Institute of Technology

Detecting sources of heat loss in residential buildings from infrared imaging

Abstract

dc:description.abstract

Infrared image analysis was conducted to determine the most common sources of heat loss during the winter in residential buildings. 135 houses in the greater Boston and Cambridge area were photographed, stitched, and tallied to characterize nine major causes of heat loss: window frames, window surfaces, window cracks, basements, door cracks, corners, chimneys, roof ridges, and soffits. The nine causes of heat loss were mapped to the three modes of heat transfer: conduction, convection, and radiation. It was found that heat losses through window surfaces, window cracks, chimneys, and soffits dominated as common sources of energy leakage, each represented in more than 70% of the houses analyzed. Opportunities for future work include more thorough examination of losses through ducts and walls, as well as developing methods for improvements.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Mechanical Engineering.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Shao, Emily Chen
Advisor dc:contributor.advisor
  • Sanjay Sarma.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/68921
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/68921

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Shao, Emily Chen. Detecting sources of heat loss in residential buildings from infrared imaging. Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/68921