Journal Published Online: 01 October 2018
Volume 2, Issue 2

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

CODEN: SSMSCY

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, USA
Smith, Sawyer
Department of Economics, Wayne State University, Detroit, MI, USA
Akgun, Halit
Department of Chemical Engineering and Materials Science, Wayne State University, Detroit, MI, USA
Huang, Yinlun
Department of Chemical Engineering and Materials Science, Wayne State University, Detroit, MI, USA
Pages: 23
Price: Free
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Details
Stock #: SSMS20180029
ISSN: 2520-6478
DOI: 10.1520/SSMS20180029