IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v31y2006i14p2823-2838.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544205002434
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2005.11.007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Watanabe, Chihiro & Kishioka, Miharu & Carvajal, Carlos Antonio, 2005. "IT substitution for energy leads to a resilient structure for a survival strategy of Japan's electric power industry," Energy Policy, Elsevier, vol. 33(8), pages 1069-1084, May.
    2. 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.
    3. Mitchell-Jackson, J. & Koomey, J.G. & Nordman, B. & Blazek, M., 2003. "Data center power requirements: measurements from Silicon Valley," Energy, Elsevier, vol. 28(8), pages 837-850.
    4. Pokrovskii, Vladimir N., 2007. "Productive energy in the US economy," Energy, Elsevier, vol. 32(5), pages 816-822.
    5. Chung, Mo & Park, Hwa-Choon, 2015. "Comparison of building energy demand for hotels, hospitals, and offices in Korea," Energy, Elsevier, vol. 92(P3), pages 383-393.
    6. Sauer, Ildo L. & Tatizawa, Hédio & Salotti, Francisco A.M., 2012. "Power quality and energy efficiency assessment and the need for labelling and minimum performance standard of uninterruptible power systems (UPS) in Brazil," Energy Policy, Elsevier, vol. 41(C), pages 885-892.
    7. 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.
    8. Wei, Shuangyu & Tien, Paige Wenbin & Calautit, John Kaiser & Wu, Yupeng & Boukhanouf, Rabah, 2020. "Vision-based detection and prediction of equipment heat gains in commercial office buildings using a deep learning method," Applied Energy, Elsevier, vol. 277(C).
    9. Ayres, Robert U. & Ayres, Leslie W. & Pokrovsky, Vladimir, 2005. "On the efficiency of US electricity usage since 1900," Energy, Elsevier, vol. 30(7), pages 1092-1145.
    10. Hyemi Kim & Kyung-soon Park & Hwan-yong Kim & Young-hak Song, 2018. "Study on Variation of Internal Heat Gain in Office Buildings by Chronology," Energies, MDPI, vol. 11(4), pages 1-16, April.
    11. McAllister, J. Andrew & Farrell, Alexander E., 2007. "Electricity consumption by battery-powered consumer electronics: A household-level survey," Energy, Elsevier, vol. 32(7), pages 1177-1184.
    12. Lee, Dasheng & Cheng, Chin-Chi, 2016. "Energy savings by energy management systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 760-777.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:31:y:2006:i:14:p:2823-2838. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.