This paper describes a simple statistical method to statistically disaggregate industrial energy use into production-dependent, weather-dependent and independent components. This simple statistical disaggregation has many uses, including improving model calibration, quantifying non-productive energy use and identifying energy efficiency opportunities. The process is called Lean Energy Analysis (LEA) because of its relationship to Lean Manufacturing, which seeks to reduce non-productive activity. This paper describes the statistical models, discusses the application of the LEA approach to over 40 industrial facilities, and provides case study examples of the benefits.


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    Titel :

    Understanding Industrial Energy Use Through Lean Energy Analysis


    Weitere Titelangaben:

    Sae Int. J. Mater. Manuf
    Sae International Journal of Materials and Manufacturing


    Beteiligte:
    Abels, Brian (Autor:in) / Ayele, Dawit (Autor:in) / Sever, Franc (Autor:in) / Kissock, Kelly (Autor:in)

    Kongress:

    SAE 2011 World Congress & Exhibition ; 2011



    Erscheinungsdatum :

    2011-04-12


    Format / Umfang :

    10 pages




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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