Industrial energy use indices

Energy use index (EUI) is an important measure of energy use which normalizes energy use by dividing by building area. Energy use indices and associated coefficients of variation are computed for major industry categories for electricity and natural gas use in small and medium-sized plants in the U....

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Main Author: Hanegan, Andrew Aaron
Other Authors: Heffington, Warren
Format: Others
Language:en_US
Published: 2010
Subjects:
Online Access:http://hdl.handle.net/1969.1/ETD-TAMU-2085
http://hdl.handle.net/1969.1/ETD-TAMU-2085
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spelling ndltd-tamu.edu-oai-repository.tamu.edu-1969.1-ETD-TAMU-20852013-01-08T10:39:26ZIndustrial energy use indicesHanegan, Andrew AaronEnergyEnergy Use IndexCoefficient of VariationBenchmarkingTexas Tip SheetsEnergy use index (EUI) is an important measure of energy use which normalizes energy use by dividing by building area. Energy use indices and associated coefficients of variation are computed for major industry categories for electricity and natural gas use in small and medium-sized plants in the U.S. The data is very scattered with the coefficients of variation (CoV) often exceeding the average EUI for an energy type. The combined CoV from all of the industries considered, which accounts for 8,200 plants from all areas of the continental U.S., is 290%. This paper discusses EUIs and their variations based on electricity and natural gas consumption. Data from milder climates appears more scattered than that from colder climates. For example, the ratio of the average of coefficient of variations for all industry types in warm versus cold regions of the U.S. varies from 1.1 to 1.7 depending on the energy sources considered. The large data scatter indicates that predictions of energy use obtained by multiplying standard EUI data by plant area may be inaccurate and are less accurate in warmer than colder climates (warmer and colder are determined by annual average temperature weather data). Data scatter may have several explanations, including climate, plant area accounting, the influence of low cost energy and low cost buildings used in the south of the U.S. This analysis uses electricity and natural gas energy consumption and area data of manufacturing plants available in the U.S. Department of Energy’s national Industrial Assessment Center (IAC) database. The data there come from Industrial Assessment Centers which employ university engineering students, faculty and staff to perform energy assessments for small to medium-sized manufacturing plants. The nation-wide IAC program is sponsored by the U.S. Department of Energy. A collection of six general energy saving recommendations were also written with Texas manufacturing plants in mind. These are meant to provide an easily accessible starting point for facilities that wish to reduce costs and energy consumption, and are based on common recommendations from the Texas A&M University IAC program.Heffington, Warren2010-01-15T00:04:17Z2010-01-16T00:22:59Z2010-01-15T00:04:17Z2010-01-16T00:22:59Z2007-122009-05-15BookThesisElectronic Thesistextelectronicapplication/pdfborn digitalhttp://hdl.handle.net/1969.1/ETD-TAMU-2085http://hdl.handle.net/1969.1/ETD-TAMU-2085en_US
collection NDLTD
language en_US
format Others
sources NDLTD
topic Energy
Energy Use Index
Coefficient of Variation
Benchmarking
Texas Tip Sheets
spellingShingle Energy
Energy Use Index
Coefficient of Variation
Benchmarking
Texas Tip Sheets
Hanegan, Andrew Aaron
Industrial energy use indices
description Energy use index (EUI) is an important measure of energy use which normalizes energy use by dividing by building area. Energy use indices and associated coefficients of variation are computed for major industry categories for electricity and natural gas use in small and medium-sized plants in the U.S. The data is very scattered with the coefficients of variation (CoV) often exceeding the average EUI for an energy type. The combined CoV from all of the industries considered, which accounts for 8,200 plants from all areas of the continental U.S., is 290%. This paper discusses EUIs and their variations based on electricity and natural gas consumption. Data from milder climates appears more scattered than that from colder climates. For example, the ratio of the average of coefficient of variations for all industry types in warm versus cold regions of the U.S. varies from 1.1 to 1.7 depending on the energy sources considered. The large data scatter indicates that predictions of energy use obtained by multiplying standard EUI data by plant area may be inaccurate and are less accurate in warmer than colder climates (warmer and colder are determined by annual average temperature weather data). Data scatter may have several explanations, including climate, plant area accounting, the influence of low cost energy and low cost buildings used in the south of the U.S. This analysis uses electricity and natural gas energy consumption and area data of manufacturing plants available in the U.S. Department of Energy’s national Industrial Assessment Center (IAC) database. The data there come from Industrial Assessment Centers which employ university engineering students, faculty and staff to perform energy assessments for small to medium-sized manufacturing plants. The nation-wide IAC program is sponsored by the U.S. Department of Energy. A collection of six general energy saving recommendations were also written with Texas manufacturing plants in mind. These are meant to provide an easily accessible starting point for facilities that wish to reduce costs and energy consumption, and are based on common recommendations from the Texas A&M University IAC program.
author2 Heffington, Warren
author_facet Heffington, Warren
Hanegan, Andrew Aaron
author Hanegan, Andrew Aaron
author_sort Hanegan, Andrew Aaron
title Industrial energy use indices
title_short Industrial energy use indices
title_full Industrial energy use indices
title_fullStr Industrial energy use indices
title_full_unstemmed Industrial energy use indices
title_sort industrial energy use indices
publishDate 2010
url http://hdl.handle.net/1969.1/ETD-TAMU-2085
http://hdl.handle.net/1969.1/ETD-TAMU-2085
work_keys_str_mv AT haneganandrewaaron industrialenergyuseindices
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