tailieunhanh - Field Surveys of Office Equipment Operating Patterns

Between January 2006 and February 2008, AMS’ Compliance and Analysis Program provided the results of its investigations of five certified organic operations to NOP. Although AMS recommended that NOP officials take enforcement actions against these operations, we found that NOP did not respond to these in a timely or effective manner. In addition, in those cases where enforcement actions were issued, NOP did not monitor the organic operations to ensure compliance with those actions. As a result, NOP never issued the recommended enforcement action against one of the five organic operations, one that improperly marketed nonorganic mint under USDA’s organic. | LBNL-46930 Field Surveys of Office Equipment Operating Patterns Carrie A. Webber Judy A. Roberson Richard E. Brown Christopher T. Payne Bruce Nordman and Jonathan G. Koomey Energy Analysis Program Environmental Energy Technologies Division Lawrence Berkeley National Laboratory University of California Berkeley CA 94720 To download this paper and related data go to http Projects September 2001 This work was supported by the . Environmental Protection Agency Office of Air and Radiation Climate Protection Partnerships Division through the . Department of Energy under Contract No. DE-AC03-76SF00098. Abstract This paper presents the results of 11 after-hours walk-throughs of offices in the San Francisco CA and Washington . areas. The primary purpose of these walk-throughs was to collect data on turn-off rates for various types of office equipment computers monitors printers fax machines copiers and multifunction products . Each piece of equipment observed was recorded and its power status noted . on off low power . Whenever possible we also recorded whether power management was enabled on the equipment. The floor area audited was recorded as well which allowed us to calculate equipment densities. We found that only 44 percent of computers 32 percent of monitors and 25 percent of printers were turned off at night. Based on our observations we estimate success rates of 56 percent for monitor power management and 96 percent for enabling of power management on .

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