Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

You searched for id:"oai:etd.ohiolink.edu:ucin1563526931938378". One record found.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


University of Cincinnati

1. Agale, Ketaki. Comparing Building Energy Benchmarking Metrics using Dimension Reduction Techniques.

Degree: MS, Engineering and Applied Science: Civil Engineering, 2019, University of Cincinnati

The objectives of this thesis are to 1) Determine the extent to which commonly used building energy benchmarking metrics are correlated and 2) Establish if the added alternative metrics are valuable to the benchmarking scenario.If a high degree of correlation exists, then building performance under each metric would be similar and no new information is provided i.e. metrics are redundant. In this study, the results of dimension reduction analysis on commonly used building energy benchmarking metrics are examined. The thesis objective will be accomplished by applying a principal component analysis and factor analysis to a large database of buildings.The results of the analysis suggest that the most commonly used benchmarking metrics are correlated. Twelve selected metrics are reduced to three distinct factors, which are uncorrelated with each other. The first factor was related to the total energy consumption, the second factor was related to electricity, and the third factor was related to natural gas. Energy use intensity (EUI) and ENERGY STAR scores were captured together by the total energy consumption related factor. This implied that these vastly used metrics were redundant. The nine other metrics were loaded with the remaining two electricity and natural gas related factors and not the EUI and scores. It indicated that they are necessary for explaining the dataset and should be captured in the benchmarking discipline. New targets based on fuel types and end-uses are required for the complete building performance picture. Advisors/Committee Members: Webb, Amanda (Committee Chair).

Subjects/Keywords: Civil Engineering; Building energy benchmarking; Energy use intensity; Principal component analysis; Factor analysis; Dimension reduction; ENERGY STAR score

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Agale, K. (2019). Comparing Building Energy Benchmarking Metrics using Dimension Reduction Techniques. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563526931938378

Chicago Manual of Style (16th Edition):

Agale, Ketaki. “Comparing Building Energy Benchmarking Metrics using Dimension Reduction Techniques.” 2019. Masters Thesis, University of Cincinnati. Accessed November 17, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563526931938378.

MLA Handbook (7th Edition):

Agale, Ketaki. “Comparing Building Energy Benchmarking Metrics using Dimension Reduction Techniques.” 2019. Web. 17 Nov 2019.

Vancouver:

Agale K. Comparing Building Energy Benchmarking Metrics using Dimension Reduction Techniques. [Internet] [Masters thesis]. University of Cincinnati; 2019. [cited 2019 Nov 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563526931938378.

Council of Science Editors:

Agale K. Comparing Building Energy Benchmarking Metrics using Dimension Reduction Techniques. [Masters Thesis]. University of Cincinnati; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563526931938378

.