@misc{25006,
  keywords = {End-use, Energy End-Use Forecasting, EUF},
  author = {Judy A Roberson and Carrie A Webber and Marla C McWhinney and Richard E Brown and Margaret J Pinckard and John F Busch},
  title = {After-hours Power Status of Office Equipment and Energy Use of Miscellaneous Plug-Load Equipment},
  abstract = {<p>This research was conducted in support of two branches of the EPA ENERGY STAR program, whose overall goal is to reduce, through voluntary market-based means, the amount of carbon dioxide emitted in the U.S. The primary objective was to collect data for the ENERGY STAR Office Equipment program on the afterhours power state of computers, monitors, printers, copiers, scanners, fax machines, and multi-function devices. We also collected data for the ENERGY STAR Commercial Buildings branch on the types and amounts of "miscellaneous" plug-load equipment, a significant and growing end use that is not usually accounted for by building energy managers. For most types of miscellaneous equipment, we also estimated typical unit energy consumption in order to estimate total energy consumption of the miscellaneous devices within our sample. This data set is the first of its kind that we know of, and is an important first step in characterizing miscellaneous plug loads in commercial buildings.</p><p>The main purpose of this study is to supplement and update previous data we collected on the extent to which electronic office equipment is turned off or automatically enters a low power state when not in active use. In addition, it provides data on numbers and types of office equipment, and helps identify trends in office equipment usage patterns. These data improve our estimates of typical unit energy consumption and savings for each equipment type, and enables the ENERGY STAR Office Equipment program to focus future effort on products with the highest energy savings potential.</p><p>This study expands our previous sample of office buildings in California and Washington DC to include education and health care facilities, and buildings in other states. We report data from sixteen commercial buildings in California, Georgia, and Pennsylvania: four education buildings, two medical buildings, two large offices (&gt; 500 employees each), three medium offices (50-500 employees each), and five small business offices (&lt; 50 employees each). Two buildings are in the San Francisco Bay area of California, nine (including the five small businesses) are in Pittsburgh, Pennsylvania, and five are in Atlanta, Georgia.</p>},
  year = {2004},
  pages = {38},
  month = {05/2004},
  publisher = {Lawrence Berkeley National Laboratory},
  address = {Berkeley, CA},
  isbn = {LBNL-53729-Revised},
  language = {eng},
}