Detecting sources of heat loss in residential buildings from infrared imaging
Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2011. === Cataloged from PDF version of thesis. === Includes bibliographical references (p. 27). === Infrared image analysis was conducted to determine the most common sources of heat loss during the winter in res...
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ndltd-MIT-oai-dspace.mit.edu-1721.1-689212019-05-02T16:25:23Z Detecting sources of heat loss in residential buildings from infrared imaging Shao, Emily Chen Sanjay Sarma. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Mechanical Engineering. Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2011. Cataloged from PDF version of thesis. Includes bibliographical references (p. 27). 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. by Emily Chen Shao. S.B. 2012-01-30T17:03:16Z 2012-01-30T17:03:16Z 2011 2011 Thesis http://hdl.handle.net/1721.1/68921 773697212 eng 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. http://dspace.mit.edu/handle/1721.1/7582 39 p. application/pdf Massachusetts Institute of Technology |
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Mechanical Engineering. Shao, Emily Chen Detecting sources of heat loss in residential buildings from infrared imaging |
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Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2011. === Cataloged from PDF version of thesis. === Includes bibliographical references (p. 27). === 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. === by Emily Chen Shao. === S.B. |
author2 |
Sanjay Sarma. |
author_facet |
Sanjay Sarma. Shao, Emily Chen |
author |
Shao, Emily Chen |
author_sort |
Shao, Emily Chen |
title |
Detecting sources of heat loss in residential buildings from infrared imaging |
title_short |
Detecting sources of heat loss in residential buildings from infrared imaging |
title_full |
Detecting sources of heat loss in residential buildings from infrared imaging |
title_fullStr |
Detecting sources of heat loss in residential buildings from infrared imaging |
title_full_unstemmed |
Detecting sources of heat loss in residential buildings from infrared imaging |
title_sort |
detecting sources of heat loss in residential buildings from infrared imaging |
publisher |
Massachusetts Institute of Technology |
publishDate |
2012 |
url |
http://hdl.handle.net/1721.1/68921 |
work_keys_str_mv |
AT shaoemilychen detectingsourcesofheatlossinresidentialbuildingsfrominfraredimaging |
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1719040491907973120 |