An analysis of grocery store energy use /
Approximately 3% of the United States' commercial building energy consumption is attributable to food sales facilities. Although this is one of the smallest consumption percentages, it is still significant, amounting to about 151 trillion Btu, or $2.17 billion per year. Food sales facilities r...
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| Format: | Thesis Book |
| Language: | English |
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[Place of publication not identified] :
[publisher not identified] ;
1993.
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| Summary: | Approximately 3% of the United States' commercial building energy consumption is attributable to food sales facilities. Although this is one of the smallest consumption percentages, it is still significant, amounting to about 151 trillion Btu, or $2.17 billion per year. Food sales facilities ranging from I 0,000 to 100,000 ft' use 3 to 5.5 W/ft2 (32 to 60 W/M2) of electricity -- two to three times what typical office buildings of the same size use (EIA 1986). Identifying potentials for energysavings in food sales facilities is therefore a worth-while pursuit. Research in the field of supermarket energy use has focused on three primary areas:energy use surveys and market analyses, building system improvements, and energy use modeling. This thesis extends foregoing work by performing a general energy use survey of over 90 grocery stores in the south-Texas region. It details - the physical and energy use characteristics of these buildings. Next, a case study is performed on two local grocery stores. Whole-building and end-use energy consumption data are monitored, and the interactions between specific system components (HVAC and refrigeration) are explored. Then, change-point/principal component analysis (CP/PCA) inverse models are developed for the whole-building and sub-metered end-use load data from the case study. Model parameters identified with CP/PCA are found to have more physical significance than those identified with standard multiple linear regression methods. Finally, change-point/four-parameter (CP/4-P) and constant linear models are used to develop a method which allows for accurate estimation of end-use energy loads without incurring the expense of collecting many months of hourly, sub-metered data. |
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| Item Description: | Vita. "Major subject: Mechanical Engineering". |
| Physical Description: | xv, 333 leaves : illustrations ; 28 cm. |
| Bibliography: | Includes bibliographical references. |