• DocumentCode
    251890
  • Title

    Energy Cloud: Real-Time Cloud-Native Energy Management System to Monitor and Analyze Energy Consumption in Multiple Industrial Sites

  • Author

    Sequeira, Hugo ; Carreira, Paulo ; Goldschmidt, Thomas ; Vorst, Philipp

  • Author_Institution
    INESC-ID Lisboa, Lisbon, Portugal
  • fYear
    2014
  • fDate
    8-11 Dec. 2014
  • Firstpage
    529
  • Lastpage
    534
  • Abstract
    Industrial organizations use Energy Management Systems (EMS) to monitor, control, and optimize their energy consumption. Industrial EMS are complex and expensive systems due to the unique requirements of performance, reliability, and interoperability. Moreover, industry is facing challenges with current EMS implementations such as cross-site monitoring of energy consumption and CO2 emissions, integration between energy and production data, and meaningful energy efficiency benchmarking. Additionally, big data has emerged because of recent advances in field instrumentation that led to the generation of large quantities of machine data, with much more detail and higher sampling rates. This created a challenge for real-time analytics. In order to address all these needs and challenges, we propose a cloud-native industrial EMS solution with cloud computing capabilities. Through this innovative approach we expect to generate useful knowledge in a shorter time period, enabling organizations to react quicker to changes of events and detect hidden patterns that compromise efficiency.
  • Keywords
    Big Data; cloud computing; energy consumption; energy management systems; open systems; organisational aspects; reliability; Big Data; EMS; cloud computing; energy cloud; energy consumption; industrial organizations; interoperability; multiple industrial sites; real-time cloud-native energy management system; reliability; Cloud computing; Energy consumption; Energy management; Industries; Monitoring; Production; Real-time systems; Energy efficiency; big data; cloud computing; energy management systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Utility and Cloud Computing (UCC), 2014 IEEE/ACM 7th International Conference on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1109/UCC.2014.79
  • Filename
    7027546