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Development and Use of Baseline Monthly Utility Models for Eight Army Installations Around the United States

机译:在美国各地的八支陆军装置中开发和使用基准月度实用新型

摘要

This 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.
机译:这项研究使用了USACERL从中央国防能源信息系统(DEIS)数据库获得的电力消耗,天然气消耗,基本面积和人口数据,以及从北卡罗来纳州阿什维尔的国家气候数据中心获得的月平均温度数据。较早的研究使用了每日温度数据和直接从陆军基地获得的计费数据。 USACERL从DEIS获得了八种DoD安装的数据。发现来自DEIS的数据不包括准确创建基线所需的抄表日期,但是开发了一种统计方法来充分估计抄表日期,从而克服了这一缺陷。还发现基本人口数据通常没有用,但是在跟踪能源使用时应考虑基本面积的变化。使用DEIS和NCDC输入数据确定的能源使用变化估计值与使用本地计费数据和每日温度数据获得的结果非常一致。这表明可以使用DEIS和NCDC数据得出特定DoD安装相对于基准年的能源使用变化的有效估计值,除非这些数据包含抄写错误。该报告还包括引物,介绍了适合其他希望评估其他陆军设施能源使用变化的分析人员使用的基准和跟踪方法。

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