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    Data-Driven Modeling and Analysis of Energy Efficiency of Geographically Distributed Manufacturing

    (Received 12 June 2018; accepted 14 August 2018)

    Published Online: 01 October 2018

    CODEN: SSMSCY

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    Abstract

    Industries consume about one third of the total energy in the United States. In manufacturing sectors, significant energy loss occurs in various types of process systems and energy generation, conversion, and distribution steps. Over the past decades, various organizations have conducted a variety of analyses on national-level manufacturing activity and energy use, which have helped manufacturing sectors understand challenges in energy sustainability. It is recognized that integrated use of the openly accessible data may generate new information about energy efficiency and environmental impact in different manufacturing regions in the United States. In this work, we introduce a general data-driven modeling and analysis method to study energy consumption, energy loss, and carbon dioxide emission in the manufacturing sectors in geographically different regions. Case studies will illustrate methodological applicability and efficacy.

    Author Information:

    Amini-Rankouhi, Aida
    Department of Chemical Engineering and Materials Science, Wayne State University, Detroit, MI

    Smith, Sawyer
    Department of Economics, Wayne State University, Detroit, MI

    Akgun, Halit
    Department of Chemical Engineering and Materials Science, Wayne State University, Detroit, MI

    Huang, Yinlun
    Department of Chemical Engineering and Materials Science, Wayne State University, Detroit, MI


    Stock #: SSMS20180029

    ISSN: 2520-6478

    DOI: 10.1520/SSMS20180029

    Author Aida Amini-Rankouhi, Sawyer Smith, Halit Akgun, Yinlun Huang
    Title Data-Driven Modeling and Analysis of Energy Efficiency of Geographically Distributed Manufacturing
    Symposium , 0000-00-00
    Committee E60