IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v41y2012icp885-892.html
   My bibliography  Save this article

Power quality and energy efficiency assessment and the need for labelling and minimum performance standard of uninterruptible power systems (UPS) in Brazil

Author

Listed:
  • Sauer, Ildo L.
  • Tatizawa, Hédio
  • Salotti, Francisco A.M.

Abstract

The poor quality of electrical power in Brazil has led to an increase in the sales of power conditioning equipment such as uninterruptible power systems (UPS) to supply a voltage wave shape without distortion or interruption. However, there are indications that the average performance of the UPS equipment available in the Brazilian market requires some improvement. Information about the energy-related behaviour of UPS units is scarce. In this paper, we estimate and analyse the installed capacity of UPS units and assess their power consumption, losses and impact on the power quality in the electrical system. The analysis is performed through energy efficiency and power quality measurements performed on UPS units that are commonly available in Brazil. We estimate the energy conservation potential of the UPS. The results of assessments strongly support the need for public policies for energy efficiency and power quality improvements, particularly the labelling of UPS units and the introduction of minimum performance standards for UPS devices.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:enepol:v:41:y:2012:i:c:p:885-892
    DOI: 10.1016/j.enpol.2011.11.071
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421511009694
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2011.11.071?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. 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.
    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. Francisco G. Montoya & Raul Baños & Alfredo Alcayde & Maria G. Montoya & Francisco Manzano-Agugliaro, 2018. "Power Quality: Scientific Collaboration Networks and Research Trends," Energies, MDPI, vol. 11(8), pages 1-16, August.
    2. Ahmad, Ali & Saqib, Muhammad Asghar & Rahman Kashif, Syed Abdul & Javed, Muhammad Yaqoob & Hameed, Abdul & Khan, Muhammad Usman, 2016. "Impact of wide-spread use of uninterruptible power supplies on Pakistan's power system," Energy Policy, Elsevier, vol. 98(C), pages 629-636.

    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. Guizzi, Giuseppe Leo & Manno, Michele, 2012. "Fuel cell-based cogeneration system covering data centers’ energy needs," Energy, Elsevier, vol. 41(1), pages 56-64.
    2. Lei, Nuoa & Masanet, Eric, 2020. "Statistical analysis for predicting location-specific data center PUE and its improvement potential," Energy, Elsevier, vol. 201(C).
    3. 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.
    4. Botman, Lola & Lago, Jesus & Fu, Xiaohan & Chia, Keaton & Wolf, Jesse & Kleissl, Jan & De Moor, Bart, 2024. "Building plug load mode detection, forecasting and scheduling," Applied Energy, Elsevier, vol. 364(C).
    5. 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.
    6. Pokrovskii, Vladimir N., 2007. "Productive energy in the US economy," Energy, Elsevier, vol. 32(5), pages 816-822.
    7. Jin, Chaoqiang & Bai, Xuelian & Yang, Chao & Mao, Wangxin & Xu, Xin, 2020. "A review of power consumption models of servers in data centers," Applied Energy, Elsevier, vol. 265(C).
    8. Abulibdeh, A. & Jawarneh, R.N. & Al-Awadhi, T. & Abdullah, M.M. & Abulibdeh, R. & El Kenawy, A.M., 2024. "Assessment of carbon footprint in Qatar's electricity sector: A comparative analysis across various building typologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    9. Zhang, Yingbo & Shan, Kui & Li, Xiuming & Li, Hangxin & Wang, Shengwei, 2023. "Research and Technologies for next-generation high-temperature data centers – State-of-the-arts and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    10. Zimmermann, Severin & Meijer, Ingmar & Tiwari, Manish K. & Paredes, Stephan & Michel, Bruno & Poulikakos, Dimos, 2012. "Aquasar: A hot water cooled data center with direct energy reuse," Energy, Elsevier, vol. 43(1), pages 237-245.
    11. 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.
    12. 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).
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. Cullenward, Danny & Koomey, Jonathan G., 2016. "A critique of Saunders' ‘historical evidence for energy efficiency rebound in 30 us sectors’," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 203-213.
    18. Asha-Dee N. Celestine & Martin Sulic & Marika Wieliczko & Ned T. Stetson, 2021. "Hydrogen-Based Energy Storage Systems for Large-Scale Data Center Applications," Sustainability, MDPI, vol. 13(22), pages 1-16, November.
    19. Cheung, Howard & Wang, Shengwei & Zhuang, Chaoqun & Gu, Jiefan, 2018. "A simplified power consumption model of information technology (IT) equipment in data centers for energy system real-time dynamic simulation," Applied Energy, Elsevier, vol. 222(C), pages 329-342.
    20. Lee, Yee-Ting & Wen, Chih-Yung & Shih, Yang-Cheng & Li, Zhengtong & Yang, An-Shik, 2022. "Numerical and experimental investigations on thermal management for data center with cold aisle containment configuration," Applied Energy, Elsevier, vol. 307(C).

    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:enepol:v:41:y:2012:i:c:p:885-892. 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.elsevier.com/locate/enpol .

    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.