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dc.creatorReddy, T. A.
dc.creatorSaman, N. F.
dc.creatorClaridge, D. E.
dc.creatorHaberl, J. S.
dc.creatorTurner, W. D.
dc.date.accessioned2005-07-25T21:05:03Z
dc.date.available2005-07-25T21:05:03Z
dc.date.issued1996
dc.identifier.otherTR-96-03-01
dc.identifier.urihttps://hdl.handle.net/1969.1/2158
dc.descriptionThis study used electricity consumption, gas consumption, base area, and population data obtained from the central Defense Energy Information System (DEIS) database by USACERL, and monthly mean temperature data obtained from the National Climatic Data Center in Asheville, NC. The earlier study had used daily temperature data and billing data obtained directly from the Army base. Data for eight DoD installations were obtained from DEIS by USACERL. It was found that the data from DEIS did not include meter reading dates, needed for accurate baseline creation, but a statistical method was developed which adequately estimates the meter reading dates, thereby overcoming this deficiency. It was also found that base population data is not generally useful, but that base area changes should be taken into account while tracking energy use. Estimates of change in energy use determined using DEIS and NCDC input data were very consistent with the results obtained using local billing data and daily temperature data. This indicates that valid estimates of the change in energy use at a particular DoD installation with respect to a baseline year can be reached with DEIS and NCDC data unless these data include transcription errors. This report also includes a primer which describes the baselining and tracking methodology suitable for use by other analysts who wish to evaluate the changes in energy use at other Army installations.en
dc.description.abstractThis report has been prepared for the United States Army Construction Engineering Research Laboratories (USACERL) located in Champaign, IL by the Energy Systems Laboratory (ESL) of Texas A&M University. The first phase of this study, completed in 1995, developed a methodology suitable for tracking and evaluating the extent to which Presidential Executive Order 12902, which mandates a 30% decrease in utility bills from 1985 to 2005, is being met at DoD facilities. The methodology was then applied to clean data from one Army base provided by USACERL. The objectives of the current study were: (1) to evaluate the methodology when used with monthly mean temperature data and "uncleaned" data available from a central Army database; and (2) to prepare a primer describing the tracking methodology and its application.en
dc.format.extent48976608 bytesen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherEnergy Systems Laboratory (http://esl.tamu.edu), Texas A&M University
dc.publisherDepartment of Mechanical Engineering, Texas A&M University
dc.rightsAll rights reserved by the Energy Systems Laboratory of Texas A&M and the authors.en
dc.subjectUnited States Army Construction Engineering Research Laboratoriesen
dc.subjectCERLen
dc.subjectPresidential Executive Order 12902en
dc.subjectelectricity consumptionen
dc.subjectgas consumptionen
dc.subjectDefense Energy Information Systemen
dc.subjectDEISen
dc.titleDevelopment and Use of Baseline Monthly Utility Models for Eight Army Installations Around the United Statesen
dc.typeTexten


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