• DocumentCode
    135185
  • Title

    A novel online energy management solution for energy plants

  • Author

    Almassalkhi, Mads ; Simon, Bjorn ; Gupta, Archie

  • Author_Institution
    Root3 Technologies Inc., Chicago, Illinois, USA
  • fYear
    2014
  • fDate
    11-14 March 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Energy plants represent large energy consumers with a wide array of energy needs, assets (e.g. boilers, chillers, storage, on-site generation), and constraints on operations. An innovative energy management system for energy plants is presented in this paper. Through predictive optimization of plant assets, energy analytics, pricing signals, and historical and real-time data, the online energy management system supplies energy plants with salient hourly, real-time recommendations and enables “what-if” analysis to achieve improved economic efficiency. Within a systems context, the paper draws upon ideas from power systems and highlights technical issues related to plant optimization. The paper also describes actual implementations of the energy management solution at two energy plants in the US, providing economic details and an analysis of the savings achieved.
  • Keywords
    Distributed power generation; Generators; Planning; Reactive power; Sensitivity analysis; Voltage control; HVAC; cogeneration; economic efficiency; energy analytics; energy plant; multi-energy system; predictive optimization; tariffs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Conference (PSC), 2014 Clemson University
  • Conference_Location
    Clemson, SC
  • Type

    conf

  • DOI
    10.1109/PSC.2014.6808098
  • Filename
    6808098