Comparing Building Energy Benchmarking Metrics using Dimension Reduction Techniques

Comparing Building Energy Benchmarking Metrics using Dimension Reduction Techniques

Bibliographic Details
Main Author: Agale, Ketaki
Language:English
Published: University of Cincinnati / OhioLINK 2019
Subjects:
Civil Engineering
Building energy benchmarking
Energy use intensity
Principal component analysis
Factor analysis
Dimension reduction
ENERGY STAR score
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563526931938378
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-ucin15635269319383782021-08-03T07:12:04Z Comparing Building Energy Benchmarking Metrics using Dimension Reduction Techniques Agale, Ketaki Civil Engineering Building energy benchmarking Energy use intensity Principal component analysis Factor analysis Dimension reduction ENERGY STAR score 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. 2019-10-21 English text University of Cincinnati / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563526931938378 http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563526931938378 unrestricted This thesis or dissertation is protected by copyright: some rights reserved. It is licensed for use under a Creative Commons license. Specific terms and permissions are available from this document's record in the OhioLINK ETD Center.
collection NDLTD
language English
sources NDLTD
topic Civil Engineering
Building energy benchmarking
Energy use intensity
Principal component analysis
Factor analysis
Dimension reduction
ENERGY STAR score
spellingShingle Civil Engineering
Building energy benchmarking
Energy use intensity
Principal component analysis
Factor analysis
Dimension reduction
ENERGY STAR score
Agale, Ketaki
Comparing Building Energy Benchmarking Metrics using Dimension Reduction Techniques
author Agale, Ketaki
author_facet Agale, Ketaki
author_sort Agale, Ketaki
title Comparing Building Energy Benchmarking Metrics using Dimension Reduction Techniques
title_short Comparing Building Energy Benchmarking Metrics using Dimension Reduction Techniques
title_full Comparing Building Energy Benchmarking Metrics using Dimension Reduction Techniques
title_fullStr Comparing Building Energy Benchmarking Metrics using Dimension Reduction Techniques
title_full_unstemmed Comparing Building Energy Benchmarking Metrics using Dimension Reduction Techniques
title_sort comparing building energy benchmarking metrics using dimension reduction techniques
publisher University of Cincinnati / OhioLINK
publishDate 2019
url http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563526931938378
work_keys_str_mv AT agaleketaki comparingbuildingenergybenchmarkingmetricsusingdimensionreductiontechniques
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