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After-hours power status of office equipment in the USA

Author

Listed:
  • Webber, Carrie A.
  • Roberson, Judy A.
  • McWhinney, Marla C.
  • Brown, Richard E.
  • Pinckard, Margaret J.
  • Busch, John F.

Abstract

Office equipment is expected to be the fastest-growing segment of commercial energy use over the next 20 years, yet many aspects of office equipment energy use are poorly understood. User behavior, such as turning off devices at night or enabling power management (PM), influences energy use to a great extent. The computing environment also plays a role both in influencing user behavior and in the success of PM. Information about turn-off rates and PM rates for office equipment was collected through a series of after-hours audits in commercial buildings. Sixteen businesses were recruited, including offices (small, medium and large offices in a variety of industries), schools, and medical buildings in California, Georgia, and Pennsylvania. The types and power states of office equipment found in these buildings were recorded and analyzed. This article presents these data for computers, monitors, printers, copiers, fax machines, scanners and multi-function devices. These data can be used to improve estimates of both energy consumption for these devices and savings from energy conservation efforts.

Suggested Citation

  • Webber, Carrie A. & Roberson, Judy A. & McWhinney, Marla C. & Brown, Richard E. & Pinckard, Margaret J. & Busch, John F., 2006. "After-hours power status of office equipment in the USA," Energy, Elsevier, vol. 31(14), pages 2823-2838.
    • Handle: RePEc:eee:energy:v:31:y:2006:i:14:p:2823-2838
    DOI: 10.1016/j.energy.2005.11.007
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    References listed on IDEAS

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    1. Mungwititkul, W. & Mohanty, B., 1997. "Energy efficiency of office equipment in commercial buildings: The case of Thailand," Energy, Elsevier, vol. 22(7), pages 673-680.
    2. Kawamoto, Kaoru & Koomey, Jonathan G & Nordman, Bruce & Brown, Richard E & Piette, Mary Ann & Ting, Michael & Meier, Alan K, 2002. "Electricity used by office equipment and network equipment in the US," Energy, Elsevier, vol. 27(3), pages 255-269.
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    Cited by:

    1. Azar, Elie & Menassa, Carol C., 2014. "A comprehensive framework to quantify energy savings potential from improved operations of commercial building stocks," Energy Policy, Elsevier, vol. 67(C), pages 459-472.
    2. Kamilaris, Andreas & Kalluri, Balaji & Kondepudi, Sekhar & Kwok Wai, Tham, 2014. "A literature survey on measuring energy usage for miscellaneous electric loads in offices and commercial buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 536-550.
    3. Antonio Paone & Jean-Philippe Bacher, 2018. "The Impact of Building Occupant Behavior on Energy Efficiency and Methods to Influence It: A Review of the State of the Art," Energies, MDPI, vol. 11(4), pages 1-19, April.
    4. Hamed Nabizadeh Rafsanjani & Changbum R. Ahn & Mahmoud Alahmad, 2015. "A Review of Approaches for Sensing, Understanding, and Improving Occupancy-Related Energy-Use Behaviors in Commercial Buildings," Energies, MDPI, vol. 8(10), pages 1-34, October.
    5. Tan Woan Wen & C Palanichamy, 2018. "Energy and Environmental Sustainability of Malaysian Universities Through Energy Conservation Measures," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 186-195.
    6. Lopes, M.A.R. & Antunes, C.H. & Martins, N., 2012. "Energy behaviours as promoters of energy efficiency: A 21st century review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 4095-4104.
    7. Qadeer Ali & Muhammad Jamaluddin Thaheem & Fahim Ullah & Samad M. E. Sepasgozar, 2020. "The Performance Gap in Energy-Efficient Office Buildings: How the Occupants Can Help?," Energies, MDPI, vol. 13(6), pages 1-27, March.
    8. Fernando Cassola & Leonel Morgado & António Coelho & Hugo Paredes & António Barbosa & Helga Tavares & Filipe Soares, 2022. "Using Virtual Choreographies to Identify Office Users’ Behaviors to Target Behavior Change Based on Their Potential to Impact Energy Consumption," Energies, MDPI, vol. 15(12), pages 1-21, June.
    9. Azar, Elie & Nikolopoulou, Christina & Papadopoulos, Sokratis, 2016. "Integrating and optimizing metrics of sustainable building performance using human-focused agent-based modeling," Applied Energy, Elsevier, vol. 183(C), pages 926-937.
    10. Murtagh, Niamh & Nati, Michele & Headley, William R. & Gatersleben, Birgitta & Gluhak, Alexander & Imran, Muhammad Ali & Uzzell, David, 2013. "Individual energy use and feedback in an office setting: A field trial," Energy Policy, Elsevier, vol. 62(C), pages 717-728.
    11. Schoofs, A. & Ruzzelli, A.G. & O’Hare, G.M.P., 2011. "VLAN auditing for preliminary assessment of after hours networked equipment electricity wastage," Energy, Elsevier, vol. 36(12), pages 6910-6921.
    12. Ahmed Al Amoodi & Elie Azar, 2018. "Impact of Human Actions on Building Energy Performance: A Case Study in the United Arab Emirates (UAE)," Sustainability, MDPI, vol. 10(5), pages 1-19, May.
    13. Rafsanjani, Hamed Nabizadeh & Ghahramani, Ali & Nabizadeh, Amir Hossein, 2020. "iSEA: IoT-based smartphone energy assistant for prompting energy-aware behaviors in commercial buildings," Applied Energy, Elsevier, vol. 266(C).

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